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The Institute offers opportunities for pursuing advanced research in frontier areas of science, engineering and technology to motivated and talented students with a keen sense of scientific inquiry. Research students constitute the largest group on the campus (more than 70% of the student body). The Institute awards about 250 Ph D and M Tech (Research) degrees, every year.
For eligibility, selection procedure, and online application instruction, Please click here.
You should apply through the Online Admissions Applications Portal. Instructions for the portal are provided here.
Important deadlines, click here to view
Fee structure, click here to view.
The departments offering PhD/MTech (Research) are given in the table below. Prospective candidates are encouraged to visit respective departmental web pages for more information.
* M.Tech (Res) is also offered by certain Science Faculty Departments.
Department/Centre/Unit: Astronomy and Astrophysics (AP)
Programme(s): Ph.D.
Note: A collaborative programme jointly run with Indian Institute of Astrophysics (IIA): ISRO and Raman Research Institute (RRI).
Basic Qualification for Eligibility:Candidates must hold a Master’s degree or equivalent in Physical Sciences, Mathematical Sciences, or Chemical Sciences, or M.E. / M.Tech in the relevant discipline, or a B.E./B.Tech or equivalent degree in any discipline, or a 4-year Bachelor of Science degree.
Areas of Research:Theoretical Astrophysics, General Relativity and Cosmology, Multiwave length Observational Astronomy, Computational Astrophysics, Advanced Instrumentation in Astronomy and Space Science.
Department/Centre/Unit: Biochemistry (BC)
Programme(s): Ph.D.
Basic Qualification for Eligibility: Candidates must hold a Master’s degree or equivalent in any branch of Science, or a Bachelor’s degree in any branch of Medicine/ Engineering/ Technology/ Agriculture/ Veterinary Science/ Pharmacy, or M.E. / M.Tech in the relevant discipline, or a 4-year Bachelor of Science degree.Candidates must hold a Master’s degree or equivalent in any branch of Science, or a Bachelor’s degree in any branch of Medicine/ Engineering/ Technology/ Agriculture/ Veterinary Science/ Pharmacy, or M.E. / M.Tech in the relevant discipline, or a 4-year Bachelor of Science degree.
Areas of Research:Protein structure and function; DNA-Protein Interactions; Genomics and proteomics in different model systems; Bioinformatics; Systems Biology; Molecular chaperones; Chaperone Mediated protein folding in the cell; Mitochondrial Protein Transport; Cellular immunology; One Health Zoonosis, Negleted Infectious diseases and Host-pathogen interactions; Chromosome Organization and Function; Regulation of the Cell Cycle; Eukaryotic gene expression; Post-transcriptional gene control; Cancer Genetics; Genomic instability; DNA repair and recombination; Genetic diseases and Drug Discovery, Cell Division, Cytoskeleton biology, Synthetic Biology, Biomechanics and Actomyosin; Molecular Plant Physiology and Land Plant Evolution; Emerging virus infections, RNA sensing, Macromolecular signaling complex assembly and Nanobiology.
Department/Centre/Unit: Ecological Sciences (ES)
Programme(s): Ph.D.
Basic Qualification for Eligibility: Candidates must hold a Master’s degree or equivalent in any branch of Science/ Engineering/ Agriculture/ Veterinary Science, or an MA or equivalent degree in Geography or Psychology, or a Bachelor’s degree in any branch of Medicine/ Engineering/ Technology/ Agriculture/ Veterinary Science, or a 4-year Bachelor of Science degree
Areas of Research:Evolutionary Biology; Phylogenetics and Biogeography; Biodiversity and Community Ecology; Molecular Ecology and Molecular Evolution; Population Genetics; Animal Behaviour; Sensory Ecology; Plant-Animal Interactions; Ecophysiology; Climate Change Research; Conservation Biology; Plant Ecology and Dynamics; Population Ecology; Wildlife Biology; Microbial and Soil Ecology; Spatial and Movement Ecology; Mathematical and Theoretical Ecology and Evolution.
Department/Centre/Unit: High Energy Physics (HE)
Programme(s): Ph.D.
Basic Qualification for Eligibility:Candidates must hold a Master’s degree or equivalent in Physical Sciences, Mathematical Sciences, Chemical Sciences, or a B.E./B.Tech or equivalent degree in any discipline, or a 4-year Bachelor of Science degree.
Areas of Research:Quantum Field Theory; The Standard Model of Particle Physics and Beyond; Physics of and at the Next Generation of Particle Colliders; Astro-Particle Physics; Dark Matter; Quantum Chromodynamics; Lattice Gauge Theories; Phase Transitions and Statistical Mechanics; Applications of Quantum Field Theory To Condensed Matter Systems; Quantum Computation; Black Hole Physics. Quantum Gravity.
Department/Centre/Unit: Instrumentation and Applied Physics (IN)
Programme(s): Ph.D. and M.Tech.(Research)
Basic Qualification for Eligibility: Candidates must hold a B.E./ B.Tech in Instrumentation, Electrical, Electronics Engineering, Engineering Physics, or Mechanical Engineering, or M.E./M.Tech or equivalent degree in relevant discipline or an M.Sc. or equivalent degree in Physics/ Materials Science, or a 4-year Bachelor of Science degree with Physics/ Materials Science as a major subject.
Areas of Research:Nanoelectronic Devices; Quantum Dots (QD); Graphene Electronics; Micro and Nano Systems; Layered 2D Materials; Sensors and related Instrumentation; QD containing Optical Fibers; Nanoscale Imaging; Super-Resolution Microscopy and Imaging; Fluorescence Microscopy; Precision Motion Control; Microfluidics and Devices; Nano-metrology; Atomic Force Microscopy; Semiconductor Devices and Circuits; Electrical Transport Studies in Low-dimensional Materials; QD Lasers; Bioinstrumentation; Materials Science;Electrical and Thermal Contact Resistance; Fibre-Bragg Grating Sensors; Phase Change Memories; Energy Systems; Image Processing; Microfluidics and Lab-on-a-Chip; Interferometry; Computational Imaging; Image Processing; Biomedical Instrumentation; Optofluidics and Point-of-Care Diagnostics; Optical metrology; Optical Microscopy; Quantum Computing, Microwave Engineering, Tomography, Deep-Learning, Photoacoustic Imaging, Thin Films and Coatings, Reconfigurable Metasurfaces, Stretchable Electronics and Photonics, Energy Harvesting Systems.
Department/Centre/Unit: Inorganic and Physical Chemistry (IP)
Programme(s): Ph.D.Option of stream (a) Inorganic Chemistry, (b) Physical Chemistry, (c) Theoretical Chemistry to be specified at the time of interview.
Basic Qualification for Eligibility: Candidates must hold a Master’s degree or equivalent in any branch of Science/ Engineering/ Technology, or a 4-year Bachelor’s degree in Science/ Medicine/ Engineering/ Technology.
Areas of Research: Molecular spectroscopy, chemical dynamics, molecular electronics and spintronics, theoretical and computational chemistry, non-equilibrium transport processes, strong light-matter interactions, ultrafast chiroptical spectroscopy, electrochemistry, catalysis, main group and organometallic chemistry, supramolecular chemistry, polymers, bioinorganic and biophysical chemistry, protein engineering and enzymology.
Department/Centre/Unit: Materials Research (MR)
Programme(s): Ph.D.
Basic Qualification for Eligibility: Candidates must hold a Master’s degree or equivalent in Materials Science, Chemistry, Biomedical Engineering, Bioengineering, Biotechnology, or Physics, or M.E. / M.Tech in the relevant discipline, or a B.E./B.Tech or equivalent degree in Materials Science/Engineering, Metallurgical Engineering, Electrical Engineering, Electronics, Ceramic Engineering/Technology, Biomedical Engineering, Bioengineering/ Biotechnology, or a 4-year Bachelor of Science degree.
Areas of Research:Preparation of Advanced Materials by Physical; Chemical and Nonequilibrium Routes. Ferroelectric and Semiconducting Thin Films. Functional Ceramics and Glass-Ceramics. Multilayers Coatings. Nanomaterials and Composites. Self Assembly and Nanopatterning. Theoretical and Computational Materials Science; Optical and Electro-Optic Properties of Materials; Crystal Growth. Dielectrics; Non-linear Optics and Quantum dots; Magnetic Materials; Materials for Energy Storage; Biomaterials.
Department/Centre/Unit: Mathematics (MA)
Programme(s): Ph.D.
Basic Qualification for Eligibility: Candidates must hold a Master’s degree in Mathematical Sciences or Physical Sciences, or M.E. / M.Tech in the relevant discipline, or a B.E./B.Tech or equivalent degree in any discipline, or a 4-year Bachelor of Science degree.
Areas of Research:Numerical Analysis; Partial Differential Equations; Controllability; Nonlinear Dynamics and Chaos; Probability Theory; Random Matrix Theory and Random Analytic Functions; Applied Probability and Stochastic Processes; Stochastic Control; Stochastic Dynamic Games; Stochastic Geometry; Interacting Particle Systems; Time Series Analysis with Applications to Neuroscience; Mathematical Finance; Functional Analysis; Harmonic Analysis; Several Complex Variables; Operator Theory; Algebraic Topology; Geometric Topology; Combinatorial Topology; Commutative Algebra; Algebraic Geometry; Differential Geometry; Representation Theory; Non-commutative Geometry; Combinatorics; Mathematical Physics; Experimental Mathematics; Modular Forms; Analytic Number Theory.Department/Centre/Unit: Microbiology and Cell Biology (MC)
Programme(s): Ph.D.
Basic Qualification for Eligibility: Candidates must hold a Master’s degree or equivalent in any branch of Science, or a Bachelor’s degree in any branch of Medicine/ Engineering/ Technology/ Agriculture/ Veterinary Science/ Pharmacy, or M.E. / M.Tech in the relevant discipline, or a 4-year Bachelor of Science degree.
Areas of Research:Molecular Biology (covering Gene Expression and Regulation in Eukaryotes and Prokaryotes, RNA Splicing, Post-transcriptional Gene Control, Mechanism of Protein Synthesis, microRNAs and long-noncoding RNAs); Genetic Engineering; Biotechnology; Microbiology; Molecular Virology; Molecular Biology of Bacterial Pathogenesis; Molecular Basis of Drug Action; Vaccine Development; Molecular Immunology; Cell Biology including Organelles and intracellular transport/trafficking, Cell Division and Signal Transduction; Plant Molecular and Developmental Biology; Cancer Biology; Disease Biology including cardiovascular diseases and diabetes.
Department/Centre/Unit: Molecular Biophysics (MB)
Programme(s): Ph.D.Option of stream (a) Biological & Chemical Sciences, (b) Physical & Chemical Sciences to be specified at the time of interview.
Basic Qualification for Eligibility: Candidates must hold a Master’s degree or equivalent in any branch of Science, or a Bachelor’s degree in any branch of Medicine/ Engineering/ Technology/ Agriculture/ Veterinary Science/ Pharmacy, or M.E. / M.Tech in the relevant discipline, or a 4-year Bachelor of Science degree.
Note: While filling the Specialization column in the online application – If you have a M Sc in any area related to Biological Sciences, please enter Biological Sciences as the specialization. A similar procedure may be followed if the area is related to Physical Sciences or Mathematical Sciences or Chemical Sciences.
Areas of Research:AI/ML in biophysics and drug discovery — combinatorial biology, macromolecular design, and synthetic biology; Bacterial-bacterial interactions; Cellular imaging of macromolecular complexes; Computational biology and genomics; Computational neuroscience and NeuroAI; Host-pathogen interactions; Integrative multiscale biophysics — modelling and experiments; Intrinsically disordered proteins; Macromolecular structure determination by X-ray crystallography, cryo-electron microscopy, and NMR spectroscopy; Membrane biophysics; Neurological disorders; Neurophysiology — patch-clamp electrophysiology, ion-channels; Peptide chemical biology; Peptides — synthesis, design, and conformational studies; Phase separation in biology; Proteins — chemistry, conformational analysis, structure, design, folding, and dynamics; Protein-protein and protein-DNA/RNA interactions; Spectroscopy and physico-chemical studies of biomolecules; Statistical thermodynamics and biomolecules; Structural virology.
Department/Centre/Unit: Developmental Biology and Genetics (DBG) (Previously – “Molecular Reproduction; Development and Genetics (MD)”)
Programme(s): Ph.D.
Basic Qualification for Eligibility:Candidates must hold a Master’s degree or equivalent in any branch of Science, or a Bachelor’s degree in any branch of Medicine/ Engineering/ Technology/ Agriculture/ Veterinary Science/ Pharmacy, or M.E. / M.Tech in the relevant discipline, or a 4-year Bachelor of Science degree.
Areas of Research:Gene regulation in prokaryotes & eukaryotes; Host- Pathogen Interactions; Human Genetics; Cell Biology and Signal Transduction; Developmental Biology and Ageing in model organisms; Glycans in Morphogenesis; Early Embryo Development (mouse); Stem Cells and Differentiation; Reproductive Biology; Molecular Endocrinology; Cancer Biology and Cancer Stem Cells; Protein Structure and Function.
Department/Centre/Unit: Neuroscience (NS)
Programme(s): Ph.D.
Basic Qualification for Eligibility:
Candidates must hold a Master’s degree or equivalent in any branch of Science/ Technology/ Engineering/ Mathematics and Computing/ Medicine/ Architecture, or a Master’s degree in Psychology/ Clinical Psychology/ Optometry/ Physiotherapy, or a 4-year Bachelor’s degree in any branch of Science/ Technology/ Engineering/ Medicine (including specializations in Agriculture, Veterinary Science, Pharmacy, and Physiotherapy.
Areas of Research: Developmental Neuroscience; Neurobiology of Disease; Neurobiology of Learning and Memory; Neural Basis of Visual Perception and Recognition; Cognitive and Computational Neuroscience of Motor Control; Attention and Decision making; Molecular Organization of Synapses; Synaptic Transmission and Plasticity; Emotion and Reward processing; Neurobiology of Pain and Itch; Motor learning; Neural basis of complex behaviors.
Department/Centre/Unit: Organic Chemistry (OC)
Programme(s): Ph.D.Option of stream (a) Chemical Biology, (b)Computational Organic Chemistry, (c) Organic Materials (d) Organic Synthesis to be specified at the time of interview.
Basic Qualification for Eligibility: Candidates must hold a Master’s degree or equivalent in any branch of Science/ M.Pharm, with Chemistry as one of the subjects at the Bachelor’s level, or M.E. / M.Tech in the relevant discipline, or a 4-year Bachelor of Science degree with Chemistry as the major subject.
Areas of Research:Asymmetric Catalysis; Bio-organic Chemistry; Biomolecular Spectroscopy; Biomolecular Structure and Dynamism; Carbohydrate Chemistry; Chemical Biology; Chemistry of Materials; Enzyme Catalysis; Macromolecular Chemistry; Medicinal Chemistry; Nanosciences; Natural Product Synthesis; Organic Synthesis; Organometallic Chemistry and Catalysis; Peptide Organic Chemistry and Peptidomimetics; Physical Organic Chemistry; Photo- and Photoredox Catalysis; Electroorganic Synthesis and Catalysis; Reaction Mechanism; Synthetic Methodologies; Supramolecular Chemistry; Transition State Modeling.
Department/Centre/Unit: Physics (PH)
Programme(s): Ph.D.Option of stream (a)Experimental Condensed Matter Physics (b)Condensed Matter Theory to be specified at the time of interview.
Basic Qualification for Eligibility:Candidates must hold a Master’s degree or equivalent in Physical Sciences, Mathematical Sciences, Chemical Sciences, or Biotechnology, or M.E. / M.Tech in the relevant discipline, or a B.E./B.Tech or equivalent degree in any discipline, or a 4-year Bachelor of Science degree.
Areas of Research:(A) Experimental Studies; (i) Condensed Matter Physics (ii) Atomic; Molecular and Optical Physics. Specific Areas Include; Raman and other Spectroscopies; Fast Ionic Conductivity; Manipulation of Matter by Light; Laser Cooling and Trapping of Atoms; Ion Trapping; Precision Laser Spectroscopy; Magnetism; Spintronics; Magnetic Thin Films; Magnetotransport; Quantum Transport in Low-Dimensional and Disordered Materials; Metal-Insulator Transition; Magnetic Resonance Phenomena; NMR and EPR Spectroscopies; Nanoscience and Nanomaterials; Superconductivity in bulk as well as Thin Films; Semiconductors; Ferroelectricity; Crystal Growth Studies; Nonlinear Optical Materials; Multiferroics; Phase Transition Studies; High Pressure and Low Temperature Studies; Study of Low Dimensional Materials; Amorphous Materials; Novel Glasses and Nanocomposites; Soft Condensed Matter; Colloids; Surfactants and Biological Material; Polymer Physics; Surface X-Ray Scattering; Surface Phase Transitions; Thermoelectric material and device. Semiconductor nanomaterials and organic composites; their heterostructurs; Low temperature photoluminescence and absorption; Deep Level Transient spectroscopy; Optically induced conductivity modulations. Tomographic image reconstruction; diffuse optical tomography; and ultrasound modulated optical tomography. (B)Theoretical Studies on variety of Aspects of Condensed Matter Physics; in particular; Strongly Correlated Systems; Quantum Many-Body Theory and Magnetism; Exotic Order and Quantum Criticality; Phase Transitions; Equilibrium and Non-Equilibrium Statistical Physics; Disordered and Amorphous Systems. The Glass Transition; Spatiotemporal Chaos and Turbulence in Fluids; Plasmas and Cardiac Tissue; Soft Condensed Matter; Colloids; Surfactants; Membranes; Liquid Crystals; Vortex Lattices; Biological Physics; Mechanics of Living Matter; Molecular Modeling of Soft and Bio-Materials.Theoretical and Computational Astrophysics, Astronomy, and General Relativity.
Department/Centre/Unit: Solid State and Structural Chemistry (SS)
Programme(s): Ph.D.Option of stream (a) Experimental and Theoretical Research in Chemical Physics, (b)Physical Chemistry, (c) Biophysical Chemistry, (d) Solid State Chemistry and Materials Chemistry to be specified at the time of interview.
Basic Qualification for Eligibility:
Candidates must hold a Master’s degree or equivalent in Chemical Sciences, Physical Sciences, Biological Sciences, Materials Science, or Polymer Science, or a B.E./B.Tech or equivalent degree in any discipline, or M.E. / M.Tech in the relevant discipline, or a 4-year Bachelor of Science degree.
In all the above cases, candidates must have studied Mathematics in their Bachelor’s level.
Areas of Research:(A) Experimental Research: (i) Structural, Electronic and Magnetic Properties of Solids. X-Ray diffraction/scattering; (ii) NMR. Light-Matter Interactions, Multidimensional Coherent Spectroscopy, Ultrafast Quantum Dynamics; (iii) Inorganic/Organic Semiconductors; Molecular Magnets, Superconductors; Nanomaterials; Framework Solids; Inorganic Pigments, Soft Matter (liquids/gels, polymers); (iv) Electrochemical Energy Systems: Conversion and Storage; Optoelectronics, Organic Electronics, Photovoltaics, Electronic and Ionic Devices.(B) Theoretical Research: Quantum Theory and Simulations of Materials; Biophysics and Biophysical Chemistry; Chemical Reaction Dynamics.
Students with a B.E./B.Tech. degree and a GATE score who meet the basic qualification for eligibility for the relevant engineering departments are eligible to be considered both for the Ph.D. program as well as the M.Tech.(Research) program. The candidates may communicate this to the department at the time of interview.
Department/Centre/Unit: Aerospace Engineering (AE)
Programme(s): Ph.D. and M.Tech.(Research)Option of stream (a)Structures (b)Guidance and Control (c)Propulsion and Combustion (d) Aerodynamics to be specified at the time of interview
Basic Qualification for Eligibility:Candidate must hold a BE / B.Tech or equivalent degree in Aerospace, Mechanical, Electrical, Electronics, Chemical, Civil, Computer Science, or Instrumentation, or M.E. / M.Tech in the relevant discipline, or an MSc or equivalent degree in Physical or Mathematical Sciences, or a 4-year Bachelor of Science degree
Areas of Research:Theoretical and Experimental Fluid Mechanics; Applied Aerodynamics; Shock Waves; Flow Lasers; Chemical Kinetics; Hypersonic and High Enthalpy Flows; Computational Fluid Dynamics; Flight Mechanics of Aircraft and Helicopters; Dynamics and Control of Aerospace Vehicles; Orbital Mechanics; Space Robotics; Guidance; Avionics; Radar and Electro-Magnetic Systems; Parallel/ Distributed Processing and Neural Networks Applications; Optimization and Estimation techniques in Aerospace Systems; Aerospace Propulsion; Spray structure and droplet dynamics, Basic and Applied Combustion; Experimental and Computational Studies on Reactive Flows; Combustion of Propellants; Composite Structures; Smart Structures; Non-Destructive Evaluation; Finite Element Methods; Fracture Mechanics; Structural Integrity and Reliability; Structural Dynamics and Aeroelasticity; Rotor Craft Dynamics, Materials Design.
Department/Centre/Unit: Kotak IISc AI ML Centre (KIAC)
Programme(s): Ph.D. and M.Tech.(Research)
Basic Qualification for Eligibility:Candidate must hold a BE / B.Tech or equivalent degree in any disciplines, or an MSc or equivalent degree in Physics, Mathematics, Electronics, Statistics, or Computer Science or a 4-year Bachelor of Science degree.
Areas of Research:Machine Learning, Generative AI, Natural Language Processing, Speech Processing, Computer Vision/Image Processing/Graphics, Robotics, Reinforcement Learning, AI+X (applications of AI in X, where X is a domain such as Science, Engineering or Healthcare), Ethics/ Fairness/ Explainability in AI.
Department/Centre/Unit: Atmospheric and Oceanic Sciences (AS)
Programme(s): Ph.D. and M.Tech.(Research)
Basic Qualification for Eligibility:Candidate must hold a BE / B.Tech or equivalent degree in any discipline, or M.E. / M.Tech in the relevant discipline, or an MSc or equivalent degree in Physical Sciences, Mathematical Sciences, Atmospheric Sciences, or Oceanic Sciences (with Mathematics as a subject at the Bachelor’s level) or a 4-year Bachelor of Science degree.
Areas of Research:Monsoon Dynamics and Prediction; Tropical Convection; Satellite Meteorology; Dynamics of Oceans; Coupled Ocean-Atmosphere Systems; Climate Modeling; Laboratory Modeling; Planetary Boundary Layer; Stochastic Modeling; Aerosol and Climate; Cloud-Aerosol Interaction; Data Assimilation; Carbon Cycle and Land Cover Change Modeling
Department/Centre/Unit: Chemical Engineering (CH)
Programme(s): Ph.D. and M.Tech.(Research)
Basic Qualification for Eligibility:Candidate must hold a BE / B.Tech or equivalent degree, or M.E. / M.Tech in the relevant discipline, or an MSc or equivalent degree in any branch of Science (with Mathematics as a subject at the Bachelor’s level), or a 4-year Bachelor of Science degree.
Areas of Research:Energy storage in flow batteries and supercapacitors, hydrogen production, gas hydrates; Fuel and solar cells; 2D materials, synthesis and defects; Carbon capture and conversion; Production of nanomaterials, semi-conductor chip fabrication; Nanotechnology for flexible sensors, actuators; complex fluids and flows; Chemical process intensification, process modelling and simulation, particulate systems; flow and dynamics of complex fluids like granular materials, particle-fluid suspensions; Rheology and dynamics of powders; suspensions of living and non-living matter; molecular dynamics simulations; Turbulent gas-particle suspensions; Magnetorheological fluids; nanoparticle synthesis, population balance equations, Monte-Carlo simulations, process intensification, agitated dispersions, phase inversion, and electrochemical energy storage; nanoparticle-based nanoelectronics and energy devices; Nucleic acid amplification, point-of-care and other diagnostic devices and assays; Therapeutic engineering, Immune therapy, microbial ecology; computational models of disease dynamics, immune responses, and the impact of drugs and vaccines; macroscopic thermodynamic behaviour and microscopic interactions; solid-fluid equilibrium in nanoparticle suspensions, gas-hydrate systems, and adsorption thermodynamics in microporous materials; Cell membranes and soft interfaces; biosensing, biomolecular self-assembly, host-pathogen interactions, and cellular heterogeneity; High resolution single molecule imaging for biosystems; Microfluidics and soft solids; machine learning to materials systems; Heterogeneous catalysis for energy and environment; Functional adsorbents and membranes for selective separation; Interfacial Engineering of Drug Molecule; Structure property relationship of polymer nanocomposite.
Department/Centre/Unit: Civil Engineering (CE)
Programme(s): Ph.D. and M.Tech.(Research)Option of stream (a) Geotechnical Engineering (b) Water Resources and Environmental Engineering (c) Structural Engineering (d)Transportation Systems Engineering to be specified at the time of interview
Basic Qualification for Eligibility: Candidate must hold a BE / B.Tech or equivalent degree in any discipline, or M.E. / M.Tech in the relevant discipline, or an MSc or equivalent degree (with Mathematics as a subject in the Bachelor’s degree), or a 4-year Bachelor of Science degree.
Areas of Research:Geotechnical Engg; Soil Behavior; Constitutive Modeling of Soils and Rocks; Foundation Engineering; Earth Retaining Structures; Advanced Sub-surface Investigations; Computational Limit Analysis, Numerical Modeling; Soil Dynamics; Earthquake Geotechnical Engineering; Seismic Microzonation; Ground Improvement; Geosynthetics; Granular Mechanics; Large Strain Plasticity; Reliability of Geotechnical Systems; Rock Mechanics; Railway Geotechnical Engineering; Geotechnical Engineering for Dams; Geoenvironmental Engineering- Re-use of Hazardous and Non-hazardous Waste in Civil Engineering Applications; Bioreactor Landfills; Unsaturated soils. Water Resources and Environmental Engg; Water Resource and Environmental System Analysis; Climate Hydrology; Flow Measurements; Surface and Ground Water Hydrology; Stochastic Hydrogeology; Stochastic Hydrology; Urban Storm Water Drainage; Environmental Hydraulics; Watershed Hydrology; Hydro-Bio-Geo Chemistry of Watersheds; Water Quality Modeling; Contaminant Hydrology; Fate and Transport of Pollutants; Design of Water Supply and Sewerage Systems; Remote Sensing and GIS for Water Resources and Environmental Engg. Structural Engg; Structural Mechanics; Computational Mechanics; Finite Element and Meshfree Techniques; Reinforced and Prestressed Concrete and Masonry Structures; Cementitious and Fibre Reinforced Polymer Composites; Structural Dynamics and Control; Earthquake Engineering; Structural System Identification; Structural Safety; Fracture Mechanics and Fatigue Behaviour of Cementitious Materials and Damage Mechanics; Alternative Building Materials and Techniques. Contact Mechanics; Adhesion; Large Strain Plasticity; Crystal Plasticity/Microstructural Effects. Transportation Systems Engg; Travel demand modelling ; Integrated land use and transport modeling; Passenger and freight mobility analytics; Travel behavior; Statistical and econometric methods in transportation; Modeling and Optimization of Transportation Systems; Network equilibrium; Congestion pricing; Traffic engineering and management; Big-data analytics; IoT for smart mobility; Intelligent Transport Systems; Air and rail transport management; Sustainable transportation planning and policy; Public transport planning and management; Transportation safety; Disaster resiliency of transportation system; Large Scale Evacuation Modeling, Uncertainty in transportation models.
Department/Centre/Unit: Computational & Data Sciences (CDS)
Programme(s): Ph. D. and M.Tech (Research), with option of stream (a) Computational Sciences, or (b) Computer and Data Systems to be specified at the time of interview.
Note: For details on stream eligibility visit
Basic Qualification for Eligibility:Candidates must hold a B.E./B.Tech or equivalent degree in any discipline or Bachelors degree in Medicine or a Masters’ degree or equivalent in any branches of Engineering/ Science/ Medicine/ Management, or Masters’ degree in Architecture, or a Master’s in Computer Applications (MCA), or M.Math/ M.Stat or a 4-year Bachelor of Science degree. In all cases, a background in Mathematics and Programming is required.
Areas of Research:
Computational Sciences Research Areas: Modelling and Simulation; Computational Fluid Dynamics; Computational Stochastics; Computational Studies of Dynamical Systems; Computational Methods for Physics; Algorithms for quantum modelling of materials on emerging computing architectures; Machine learning frameworks for accelerated materials discovery; Medical Image Computing; Medical Image Processing; Neuroimaging; Physiological Signal Processing; Computational Biology and Bioinformatics; Experimental Structural Biology and Computing 3D Structures of Protein molecules; Finite Element Analysis; High Performance Computing (HPC) applications; Tribrid Parallel (MPI-OpenMP-GPU) Computing. Tensor Computations and Applications; Wavelets in Scientific Computing; Quantum Algorithms for Scientific Computing; Machine Learning for Dynamic Environmental and Engineering Systems.
Computer and Data Systems Research Areas: Computer Aided Design; Cloud Computing Systems; Distributed Systems; Data Sciences; Big Data Platforms; Computer Vision and Image/Video Analytics; Database Systems; Embedded System-On-Chip (SoC) Architectures; many-core and multi-core SoCs, runtime reconfigurable computing, software defined many-core chips, High Performance Computing Systems; Machine Learning; Natural Language Processing; Deep Learning for Vision and Language; Parallel Computing
Department/Centre/Unit: Computer Science and Automation (CS)
Programme(s): Ph.D. and M.Tech.(Research)
Basic Qualification for Eligibility:Candidates must hold a B.E./B.Tech or equivalent degree in Computer Science/ Engineering, Electronics and Communication, Electrical Engineering, Information Science, or Technology, or M.E./ M.Tech in any discipline (preferably in Computer Science/ Engineering, Electronics and Communication, Electrical Engineering, Information Science, or Technology), or an M.Sc. or equivalent degree in Mathematics, Statistics, or Computer Science, or a Master’s in Computer Applications (MCA), or M.Math/ M.Stat or a 4-year Bachelor of Science degree.
Areas of Research:Theoretical Computer Science: Algorithms; Complexity Theory; Combinatorial Optimization; Graph Theory; Information and Coding Theory; Cryptography; Cryptology; Computational Geometry; Computational Topology; Algorithmic Algebra; Computational Biology; Automata Theory; Formal Verification. Computer Systems and Software : Computer Architecture; Multi-Core Computing; Parallel and High Performance Computing; Operating Systems; Storage Systems; Security; Database Systems; Cloud Computing; Distributed Computing; Modeling and Simulation; Compiler Design; Program Analysis; Programming Languages; Software Engineering; Adhoc Mobile and Sensor Networks; Graphics and Visualization. Intelligent Systems: Data Mining; Data Analytics; Deep Learning; Information Retrieval; Machine Learning; Pattern Recognition; Reinforcement Learning; Convex Optimization; Stochastic Control and Optimization; Game Theory; Auctions and Mechanism Design; Electronic Markets; Social Network Analysis; Cognitive Systems; Natural Language Processing.
Department/Centre/Unit: Earth Sciences (ER)
Programme(s): Ph.D. and M.Tech.(Research)
Basic Qualification for Eligibility: Candidate must hold a BE / B.Tech or equivalent degree in Mechanical, Aerospace, Chemical, Civil, Instrumentation, Engineering Physics, or M.E. / M.Tech in the relevant discipline, or an MSc or equivalent degree in Geology, Geophysics, Physics, Chemistry, Mathematics, or Biology, or a 4-year Bachelor of Science degree.
Areas of Research: Paleoclimate reconstruction; Atmospheric and Ocean Chemistry; Application of Major and Trace Element Geochemistry and Traditional and Non-traditional Stable Isotope Geochemistry to Modern-Day and Early Earth Processes. Lithosphere and Mantle Dynamics; Paleotectonics; Metamorphic Processes; Geochronology and Crustal Evolution Planetary Magnetism and Core Dynamics; Seismotectonics and Seismic Hazard; Subduction Zone Earthquakes; Dynamo theory, Experimental modelling of planetary interiors; Planetary Geochemistry
Department/Centre/Unit: Electrical Communication Engineering (EC)
Programme(s): Ph.D. and M.Tech.(Research)
Basic Qualification for Eligibility:Candidates must hold a BE / B.Tech or equivalent degree in Electrical / Electronics Communication / Telecommunication / Instrumentation / Biomedical Engineering / Computer Science / Engineering / Electrical Engineering, or M.E. / M.Tech in the relevant discipline, or MSc in Physics / Mathematics / Electronics / Statistics / Computer Science / Photonics, or Master’s in Computer Applications (MCA), or Graduates of 4-year Bachelor of Science programmes.
Areas of Research:Communication and Networking Information Theory; Source Coding; MIMO Systems; Space-Time and LDPC Codes; Coding for Distributed Storage and Coded Modulation; Error-Control Coding; Information Theoretic Security; Cache-Aided Communications; Wireless Mobile Coded Caching for Content Delivery; Device-to-Device (D2D) and Vehicular Communications (V2V,V2X, X2V); Wireless Mobile Communication; Multiple Access Protocols; Cellular Mobile Radio; CDMA; Multiuser/ MIMO Detection; Large MIMO and Massive MIMO Systems; CooperativeCommunications; MIMO-OFDM; Spatial Modulation; Orthogonal Time Frequency and Space (OTFS) Modulation; Intelligent Reflecting Surfaces; ML/DL-aided Communications; Cell-free Architectures;Communication Networks; Modeling; Analysis; Optimization and Control of the Internet; wireless access networks; wireless ad-hoc Networks; Wireless Sensor Networks and the Internet of Things. Research at the Interfaces of various Networks; Wireless; Social Transportation; Neuronal; etc. Network Management; Multimedia Communication Protocols. Ubiquitous Computing. Cognitive Radio Communication; WDM Optical Networks. Optical Communications. Networked Control Systems, Cyber-Physical SystemsNanoelectronics and VLSI: Quantum Electronics; Single Photon Emission, Detection, and Manipulation; Electronics and Optoelectronics Using Low-Dimensional Materials Including 1D and 2D Materials; Light-Matter Interaction; Excitons; ; Integrated MEMS Sensors; Communication Circuits and Architectures. Analog,Mixed-Signal & RF Circuits; Radar Circuits and Systems.Robotic & Autonomous Systems.Applied Photonics: Photonic Integrated Circuits; Micro-Opto-Electro-Mechanical Systems (MOEMS); Photonic Bandgap Structures; Quantum Photonics. Biophotonics. Plasmonics.Signal Processing: Spatial Signal Processing; Compressive Sensing. Sparse Signal Recovery. Statistical Signal Processing; Signal Detection and Estimation; Space-Time (MIMO) Signal Processing Algorithms with applications to Wireless Communications; Acoustic Signal Separation using Microphone Arrays; Indoor Positioning and Navigation. Signal Processing and Machine Learning over Graphs.RF&Microwave Engineering: Passive and Active Circuits, Circuits and systems for RF Sensors and mmwaveRadars, Microwave Imaging Antennas; Reconfigurable metasurfacesBeamsteering Antenna Arrays,Composite Materials for Microwave Applications; Computational Electromagnetics, RF EMI/EMC Modeling in Automobiles.
Department/Centre/Unit: Electrical Engineering (EE)
Programme(s): Ph.D. and M.Tech.(Research)Option of stream (a) Systems & Signal Processing (b) Power Systems: Power Electronics and High Voltage Engineering to be specified at the time of interview.
Basic Qualification for Eligibility:Candidates must hold a B.E./B.Tech or equivalent degree in Artificial Intelligence, Data Science, Electrical, Electrical and Electronics, Electronics, Electronics and Communication, Telecommunications, Instrumentation, Computer Science/ Engineering, Systems Science and Automation, Information Technology, Biomedical Engineering, or other related disciplines, or a postgraduate degree such as M.E./ M.Tech/ M.Sc. or equivalent in Data Science, Signal Processing, Artificial Intelligence, Physics, Mathematics, Statistics, Electronics, Computer Science, Electrical, Power Electronics, Power Electronics and Drives, Power Systems, Energy Systems, or High Voltage or a 4-year Bachelor of Science degree.
Areas of Research:
Stream-1: Power Systems; Power Electronics and High Voltage Engineering; Computer-Based (Analysis; Design; Control and) Protection of Power Systems; Energy Systems; Distribution Systems; (Intelligent System Applications to Power Systems). Power Electronics & Electric Drives; Switched Mode Power Supplies; New Power Devices. EHV/UHV Transmission; Electromagnetics; Lightning Protection; Dielectrics and Insulation Engineering; Power Apparatus; Diagnostics and Condition Monitoring; Pulsed Power and Air Pollution Control.
Stream-2: Speech and Audio Processing; Image Processing; Computer Vision; Generative AI, Machine Learning; Biomedical Imaging; Computational Imaging; Inverse Problems; Biomedical Image and Signal Processing; Control Systems, Control over Networks, Multi-agent Control.
Department/Centre/Unit: Electronic Systems Engineering (ESE)
Programme(s): Ph.D. and M.Tech.(Research)
Basic Qualification for Eligibility:
Candidates should hold a BE / B.Tech or equivalent degree in Electronics and Communication, Electrical, Computer Science, Information Science / Technology, Instrumentation, Mechanical, Mechatronics, or Telecommunication, or an M.E. / M.Tech in a relevant discipline, or an MSc or equivalent degree in Physics, Mathematics, Statistics, Electronics, Computer Science, or Photonics, or a Master’s in Computer Applications, or a 4-year Bachelor of Science degree.
Areas of Research: Analog & Digital Chip Design, Neuromorphic Computing and Machine Learning: The central research focus of the NeuRonICS lab is to understand the principles of brain computation and to apply this understanding in electronic systems for building intelligent systems. Engineers have a lot to learn about computation from the brain, which has evolved over billions of years to solve difficult engineering problems. Efficient, parallel, low-power computation is a hallmark of the brain, and to be able to replicate this in electronic systems is one of the goals of the lab. Research interests of the lab span a broad range of subjects such as ASIC/FPGA VLSI design, analog IC design, brain-inspired algorithms, Edge Computing, machine learning, and event-based sensors.Digital Chip Design, Circuits and Systems for Cryptography, Hardware Security, Quantum-Inspired Computing, Hardware Accelerators : SINESys Lab is involved in the design of efficient integrated system solutions for emerging applications such as post-quantum cryptography, computation on encrypted data, secure machine learning, quantum-inspired computing, blockchain, side-channel security, encryption and authentication protocols. Our research spans across circuits, architectures and algorithms – with ASIC & FPGA design along with hardware-software co-design – enabling us to translate theory into practical systems. In SINESys Lab, students have the opportunity to work on cutting-edge research topics, collaborate with leading academia/industry partners and gain valuable technical skills in chip design, electronic systems, hardware implementation, cyber security, machine learning and emerging compute paradigms. The only prerequisites are good understanding of digital electronics along with mathematical aptitude. No prior background in cryptography, cyber security, machine learning or quantum computation is required.Digital and Mixed-signal VLSI design, Efficient computation for Machine Learning (ML) applications, Memory Design, In-memory computing and beyond von Neumann architectures, securing computing platforms, Hardware accelerators for Neural Networks (NN) : We at EC&IS Lab, focus on building efficient systems to meet the increasing computational demand of future systems. This ranges from building across a wide range of abstractions from circuit design, chip implementation, and embedded systems along with necessary software framework. Areas of focus are motivated by challenges in the industry, offering plenty of collaborative opportunities. Exploratory work using FPGAs is used for feasibility studies, offering quick turnaround times for system modeling and testing. Extensive analysis and simulations are used to verify designs with promising ideas implemented in competitive technologies for silicon demonstrations and validation. Leveraging the experience of designing, fabricating, and testing systems in technologies from 180nm to 22nm, we envision driving a future where we maximize positive human impact through technology while living in synergy with nature.Micro-Electro-Mechanical Systems (MEMS) based Devices and Semiconductor Device Manufacturing, Advanced Healthcare Technologies, Design, Modeling, Simulation, Fabrication, and Characterization of Sensors & Transducers for Biomedical Engineering Applications: BEES Lab and NANOFAB for Advanced Microsystems and Biomedical Devices for Clinical Research focus on developing novel biosensors, biomedical devices, and healthcare solutions by combining expertise in micro and nanofabrication, biomedical engineering, electronic system design, and additive manufacturing to solve problems in biology and medicine. The research involves minimally invasive and non-invasive technologies with an emphasis on but not limited to drug delivery, cancer diagnosis (brain, breast, head, and neck), e-nose (diabetes, breast cancer screening), brain-computer interface (implantable devices), and neuroprotective therapies for acute stroke and epilepsy. All the research projects are executed in close collaboration with clinicians (neurosurgeons, cardiothoracic surgeons, once surgeons, pediatric surgeons, neonatologists, ENT surgeons, liver transplant surgeons, pathologists, Head & Neck surgeons) from the country and abroad. The lab resource comprises a class 100/1000 cleanroom with advanced microfabrication capabilities, including experimental neurophysiology, characterization and experimentation laboratory, and a computational facility. The lab is well-suited for candidates interested in multidisciplinary research and looking to work in a dynamic environment.Power Electronics and Drives: Drives for e-mobility applications: Multilevel converters, inverters, bidirectionality, IoT based converters, Motor design, Special motors and electromechanical systems. Power converters for interfacing renewable energy to power grid, energy internet. Magnetics for LV to HV conversion. Magnetics for power conversion, amplification, series and shunt compensation, mmf control, special machine.Microelectronic, Nanoelectronics& Solid-State Physics: Experimental Nanoelectronics and Semiconductor Technology :Design, simulation, fabrication, characterization, modelling and reliability physics of nanoscale / nanoelectronics and power semiconductor devices. Nanoscale / nanoelectronics devices: Graphene FETs, 2D material (MoS2, WS2, WSe2, MoSe2, Phosphorene, h-BN) based electronic and optoelectronic devices. Power semiconductor device research includes Gallium Nitride HEMTs and Si LDMOS devices. Neuromorphic Devices and Novel Memory devices. Design and Simulation includes Technology CAD (TCAD) as well Density Functional Theory (DFT) based computations. THz devices and one atom thick circuits. Device fabrication and characterization includes full transistor fabrication using state-of-the-art cleanroom infrastructure and its characterization / testing using one of its kind characterization facility. Modelling includes exploration of unique experimental observations using TCAD and DFT tools. Reliability investigation includes exploration of electron-phonon transport at nano-second time scale in nanoelectronics devices, role of phonon in graphene, 2D material and HEMT device degradation and failure. Fundamental scientific explorations in nanoscale devices / exploring physics at the nanoscale.Computational Nanoelectronics : At the moment, our lab is working on modelling 2D material-based nanoelectronics devices, such as the more standard transistor and the newer memristor. We work on a technique called “material-device-circuit co modeling,” in which we try to guess how well a circuit will work by looking at the crystallographic information of 2D materials. There are many types of computing techniques that students will learn, such as first-principles based atomistic simulation, force-field development, Monte-Carlo techniques, quantum transport modelling, compact modelling, and implementation in SPICE. Many these will require mastering GPU based high-performance computing. In addition to using off-the-shelf software, students are expected to come up with their own model, method, or code.Analog and mixed signal IC design, Sensor systems in silicon photonic and nano-electronic platform : Sensors – modeling, design, fabrication and characterization. Photonic integrated circuits – component development and system design. Analog and mixed signal integrated circuits – architecture development and IC design.Quantum Sensing and Integrated Circuits: Analog & Mixed Signal Circuits Design, Classical Sensor Systems, Quantum Sensing and Metrology Circuits and Security Research : The Circuits and Security Research Lab (CSRL) broadly focuses on designing energy-efficient and secure communication and computation for IoT devices & systems. We aim to solve fundamental problems in the domain of hardware security and biomedical circuits and systems primarily focusing on innovations in the design of mixed-signal ICs and FPGAs. To summarize, the key research areas are: · Design of low power circuits/system architecture for security · Biomedical applications and IC design · Circuits and systems for the Internet of Bodies · Quantum circuit modeling · Machine-learning applications for circuits and security.Networks and Cyber Physical Systems: Next Generation Wireless Networks, Cyber Physical Systems, e.g., Tactile Internet and Smart Grids etc , Data, Centres and Cloud Computing , Information Centric Networking , Distributed Machine Learning over Networks , Software Defined Networking and Network Function Virtualization, Time Sensitive and Deterministic, Networking, Multi-Agent Networked Systems, e.g., Robotic Systems.Signal and Information Processing: Physical Data Storage: Modeling, Signal processing, Coding/ information-theoretic aspects Committee–D of emerging nano-memory technologies, such as magnetic hard disks, flash memories, phase change memories, memristors etc. including VLSI architectures. Quantum information processing: All aspects of coding, information theory and signal processing towards quantum storage and transmission . Mathematical biology, neural networks, and learning systems: Part of AI . Music signal processing.Quantum photonics and electronics: This area is based on discrete time quantum random walks. It relates to harnessing controllable quantum evolution in accessible quantum systems to simulate other inaccessible complex quantum systems. Simulation of quantum systems is another related area that he has been researching, especially on the operational and algorithmic approaches for digital quantum simulation using quantum walks for simulating complex quantum dynamics using circuit-based quantum processor.
Department/Centre/Unit: Management Studies (MG)
Programme(s): Ph.D.
Basic Qualification for Eligibility:Candidate must hold a BE / B.Tech or equivalent degree in any discipline, or M.E. / M.Tech in the any discipline, or a Master’s degree in Policy Studies, Economics, Commerce, Mathematics, Statistics, Psychology, Operations Research, Computer Science / Applications, or an MBA after M.Sc / BE / B.Tech.
Areas of Research:Applied Statistics, Behavioral Economics, Health Economics, Development Economics, Computational Finance, Empirical Finance, Financial Econometrics, Operations Management, Operations Research, and Public Policy.
Department/Centre/Unit: Materials Engineering (MT)
Programme(s): Ph.D. and M.Tech.(Research)
Basic Qualification for Eligibility:Candidate must hold a BE / B.Tech or equivalent degree in any branch of engineering, preferably in Metallurgical, Mineral, Chemical, Ceramics, Mechanical, Materials Science/Engineering, Biotechnology, Polymer, Pharmacy, Electrical, or Electronics Engineering, or M.E. / M.Tech in the relevant discipline, or a Master’s degree (with Mathematics as a subject in the Bachelor’s degree) in any branch of science, preferably in Physical, Chemical, Materials, or Biological Sciences, or a 4-year Bachelor of Science degree or hold an MBBS, MD, BDS, or MDS degree.
Areas of Research:Materials: Structural Alloys (light metal; superalloys; refractory metals); Shape Memory Alloys; Engineering Ceramics; Nanomaterials; Electronic Materials; Printed Electronics; Ferroelectrics and Multiferroics; Polymer Blends and Nanocomposites; Organic Photovoltaics.Phenomena: Phase Transformations; Rapid Solidification; Mechanical Alloying; Diffusion; Texture and Grain Boundary Engineering; Mechanical Behaviour including Creep; Superplasticity; Fatigue and Fracture; Thin Films and Coatings; Contact Deformation; Tribology; Thermoelectromechanical Phenomena;Biomaterials; Drug delivery; Tissue Engineering; Sensors; Mineral Processing; Biohydrometallurgy; Extractive Metallurgy. Computational Modeling of Processes: Alloy Stability; Defects and Transformations.
Department/Centre/Unit: Mechanical Engineering (ME)
Programme(s): Ph.D. and M.Tech.(Research)
Basic Qualification for Eligibility:Candidate must hold a BE / B.Tech or equivalent degree in any discipline, or M.E. / M.Tech in the relevant discipline, or an MSc or equivalent degree in Applied Science, Materials Science, Engineering Design, or Computer Science, or a 4-year Bachelor of Science degree.
Areas of Research:Solid mechanics, Fracture Mechanics; Fluid Mechanics, Turbulence, Multiphase flows, Micro-fluidics, Flow control, Non-Newtonian fluid mechanics, Fluid-Structure Interaction, Nonlinear Dynamics and chaos, Acoustics, Robotics, Control systems design, Autonomous vehicles, Micro-Electro-Mechanical Systems (MEMS), Biomechanics, Mechano-biology of cells and tissues, Biological fluid dynamics, Hydrodynamics of active matter; Finite element methods, Computational fluid dynamics; Structural optimization and design, Compliant mechanisms; Heat transfer, Nanoscale energy transport, Thermodynamics of crystalline solids, Refrigeration and air conditioning, Internal combustion engines, Energy systems; Manufacturing, Metal additive manufacturing, Mechanics and physics of advanced alloys; Tribology, Micro/nano surface engineering, Severe plastic deformation; Human space flight; Data-driven modeling, Machine learning
Department/Centre/Unit: Nanoscience and Engineering (NE)
Programme(s): Ph.D.
Basic Qualification for Eligibility: Candidate must hold a BE / B.Tech or equivalent degree in an Engineering discipline, or M.E. / M.Tech in the relevant discipline, or an MSc or equivalent degree in any branch of Science, or a 4-year Bachelor of Science degree.
Areas of Research: Nanomaterials and Nanostructures; Synthesis and Characterization of Materials for Electronic (Graphene; AIGaN; High-k Dielectrics); Optoelectronic (InGaN); Magnetic (multicomponent magnetic oxides) and Photonic Applications; Synthesis of new Precurors for Chemical Vapor Deposition; Synthesis of Nanoparticles by Microwave Techniques; Thin Film Growth by Pulsed Laser Deposition; Sputtering; Evaporation; Chemical Vapor Deposition and Atomic Layer Deposition; Mechanical Properties of Thin Films; Self-Assembled Monolayers; Polymer Nanocomposites; Nano-propellers for Applications in Soft Matter Physics and Biotechnology; Optics and Acoustics with Nanometer sized Bubbles in Quantum Fluids; MEMS and NEMS Devices. Nanoelectronic Devices; Nonclasical Silicon/Germanium Nanotransistor; Compound Semiconductor Devices; HEMTs; LEDs; Nanotube and Nanowire Transistors; Graphene Transistors; High-K Dielectrics for DRAMs; FeRAM; RRAM; MRAM; Phase Change Memory; Photovoltaics; Fuel Cell; Supercapacitors; Organic/Polymer Devices. Nanosensors; Nano-Biophotonics; Nanophotonics in Metamaterials and Nanostructured thin films; Plasmonics. Sensor Systems; Inertial Sensors; Acoustic Sensors; RF MEMS; Optical Sensors; Power MEMS; Gas Sensors; CMOS-MEMS Integration; Bio Sensors; Label-free Biosensors; Microfluidic Integration; Lab-on-chip Systems; Neural Interface Devices; SoC Architecture Design; Sensor Interface Circuits; Defect Tolerant Architectures. Computational Nanoengineering; Finite Element Modeliing; Multi Scale Modeling; Nonlinear Dynamics; Computational Mechanics; Reduced Order Modeling; Coupled Domain Analysis; Synthesis of Micro/Nanosystems; Meshing Algorithms; Quantum-Continuum Modeling; Energy Disscipation at Nanoscale; Molecular Dynamics Simulation; Nanotransistor Physics Modeling and Simulation; Variability in Nanoelectronics Devices; EDA Tools. Advanced Packaging; 3D packaging; Water level and Die level Packaging; System Integration. Shape Memory Alloys (NiTix; NiMnGa)
Department/Centre/Unit: Design and Manufacturing (DM)
Programme(s): Ph.D. and M.Tech.(Research)Option of stream (a) Product Design and Engineering (b) Advanced Manufacturing to be specified at the time of interview
Basic Qualification for Eligibility: Candidate must hold a BE, B.Tech, B.Des, or equivalent degree in any discipline, or a Bachelor’s degree in Architecture, or M.E. / M.Tech in the relevant discipline, or a Master’s degree in Computer Science, Physiology, or Management, or a Master’s in Computer Applications (MCA), or a 4-year Bachelor of Science degree.
Areas of Research: Product Design and Engineering: Tools For Product Design; Vehicle Crash Safety; Occupational Health and Safety; Product Safety; Computer Aided Ergonomics; Human Physiology; Digital Human Modeling; Biomechanics; Kinesiology; Biosensors; Computer Aided Fit and Usability Studies; Haptics Integrated Design Interfaces; Knowledge Management; Product Life Cycle Management; Artificial Intelligence in Design and Manufacturing; Design For Environment; Design Creativity; Collaborative Design; Design Synthesis Requirements Engineering; Design Methodology; Modelling of biological sensory systems, lumped parameter modelling of bio-electrical and bio-mechanical systems;Renewable energy systems, Distributed transduction;Collaborative mobile robots in air, land and water;Human-robot collaboration;Industry 4.0, modular construction, and smart manufacturing for built environment, systemic innovation, product service systems, design, computational and systems thinking.
Advanced Manufacturing: Sustainable Materials and Manufacturing; Smart Manufacturing; Advanced Manufacturing Processes; Digital Manufacturing; Biomedical Devices and Systems; Digital Human Modelling; Industry 4.0; Digital Supply Chain; Advanced Production Systems; product and manufacturing informatics.
Department/Centre/Unit: Sustainable Technology (ST)
Programme(s): Ph.D. and M.Tech.(Research)
Basic Qualification for Eligibility: Candidate must hold a BE, B.Tech, B.Des, or equivalent degree in any discipline, or a Bachelor’s degree in Architecture, or M.E. / M.Tech in the relevant discipline, or a Master’s degree in Computer Science, Physiology, or Management, or a Master’s in Computer Applications (MCA), or a 4-year Bachelor of Science degree.
Areas of Research: Water quality; treatment and supply; Wastewater treatment; Sustainability in Habitats; Design and Architecture; Alternative Building Technologies and Materials; Building functional performance; Renewables (BIPV) in Buildings; Biomass Combustion; Gasification; Biomethanation; Bio-Fuels; Plasma engineering; plasma assisted combustion; waste to energy; Non-thermal plasma and their applications; Energy planning and management; Waste Management; Natural Resources Management; Climate Change Mitigation; Bioremediation and hazardous waste treatment; Hydro and thermal turbo machinery; membrane separations; separation technologies; separations for sustainable industries; arsenic and fluoride uptake by adsorption; industrial solvent recovery; Low-carbon building materials; 3D printing technology for construction; Smart structural composites; Environmental remediation and waste management; Carbon sequestration in materials.
Department/Centre/Unit: Bioengineering (BE)
Programme: Ph.D. Interdisciplinary program offered by the Department of Bioengineering.
Basic Qualification for Eligibility:
Candidate must hold a Bachelor’s degree in any branch of Engineering / Technology, or M.E. / M.Tech in the relevant discipline, or an MSc or equivalent degree in any branch of Science with a minimum of two Mathematics courses beyond 12th standard in the B.Sc / MSc, or a 4-year Bachelor’s degree in any branch of Science with a minimum of two Mathematics courses beyond 12th standard, or a Medical degree at the Bachelor’s or Master’s level in a specialization (Mathematics in 12th standard is preferred).
Areas of Research: Biomechanics, Biomaterials and tissue engineering, Drug delivery systems, Microfluidics, Nanotechnology, Computational biology, Communicable and non-communicable diseases including cancer, Data science in biology, Molecular and medical imaging, Biomedical instrumentation, Diagnostics, Genetic engineering, Vaccine development, Mechanobiology, Immunoengineering, 3D Bioprinting, Epidemiology.
Programme: Ph.D.Offered by Brain, Computation, and Data Science group.
Note: For more details visit: https://brain-computation.iisc.ac.in
Basic Qualification for Eligibility:Candidate must hold an MSc or equivalent degree in any branch of Science, or a BE / B.Tech or equivalent degree in any discipline, or M.E. / M.Tech in any discipline, or a 4-year Bachelor of Science degree.
Areas of Research:Brain Inspired Artificial Intelligence; Machine Learning; Signal Processing; Theoretical and Computational Neuroscience; Cellular, Systems and Cognitive Neuroscience; Sensory Systems: Vision, Speech; High-Level Cognitive Processes: Learning, Attention, Decision Making; Brain machine Interfaces; Neuromorphic Computation, Neuromorphic Hardware
Department/Centre/Unit: Climate Change (CC)
Programme: Ph.D. Offered by Divecha Centre for Climate Change.
Basic Qualification for Eligibility:Candidate must hold a BE / B.Tech or equivalent degree in any discipline, or a Bachelor’s degree in any branch of Medicine, or M.E. / M.Tech in any discipline, or a Master’s or equivalent degree in any branch of Science/ Agriculture, or a 4-year Bachelor of Science degree.
Areas of Research:All areas of research in climate variability and climate change, their impacts on the environment and related topics. The topics include but not limited to: Climate Change and Climate Policy, Glaciers and Water Security, Air Quality and Health, Sustainable Water Futures, Renewable Energy and Policy, Climate Change and Hydro-meteorologic Extremes, Monsoons-Agriculture-Food Security nexus, Climate Change and Oceans, Climate Change and Sustainable Forests, Paleoclimate.
Department/Centre/Unit: Cyber Physical Systems (CPS)
Programme: Ph.D. and M.Tech.(Research) Offered by Robert Bosch Centre for Cyber Physical Systems (RBCCPS).
Basic Qualification for Eligibility: Candidate must hold a BE / B.Tech or equivalent degree in any discipline, or M.E. / M.Tech in any discipline, or an MSc or equivalent degree in Computer Science, Electronics, Mathematics, Physics, or Statistics or a 4-year Bachelor of Science degree.
Areas of Research: Control & Optimization, Formal Techniques for CPS, Stochastic Control, Data-Driven & Learning-based Control, Networked Control Systems, Security, Safety & Privacy for Autonomous Systems, Robotics & Autonomous Systems, AI & ML for Robotics, Smart Mobility & Smart Grids, Swarm & Team Robotics, Human-Machine Interactions (AR, VR) & Social Robotics, Data Analytics, Supervised, Unsupervised & Reinforcement Learning, Energy & Transportation Analytics, Edge AI, Smart Mobility.
Department/Centre/Unit: Energy (EN)
Programme: Ph.D. and M Tech(Res) offered by Interdisciplinary Centre for Energy Research (ICER).
Basic Qualification for Eligibility: Candidate must hold a BE / B.Tech / 4-year BS, or equivalent degree or a Master’s degree or equivalent in Engineering/ Science in one of the following disciplines: Aeronautical Engineering, Aerospace Engineering, Chemical Engineering, Chemical Technology, Energy Engineering, Energy Science and Technology, Energy Systems, Energy Technology, Fluid Mechanics and Heat Transfer, Functional Materials and Devices, Green Energy Technologies, Mechanical Engineering, Nuclear Engineering, Propulsion Engineering, Renewable Energy, Solar and Alternate Energy, Sustainable Energy, Thermal Engineering, Turbomachinery, Applied Physics, Physics, Chemistry, Electrochemical, Industrial Chemistry, Inorganic Chemistry, Physical Chemistry, Polymer Science, or Solid State and Structural Chemistry. Undergraduate-level exposure to Mathematics is expected.
Areas of Research: Topics in Energy Science and Technology, including High energy-density rechargeable batteries, Fuel cells, Hydrogen energy, Functional materials for energy applications, Membrane, thermal and electrochemical desalination and resource recovery, Electrolysis and electrosynthesis (Water, CO2) Solar thermal technologies, Radiative cooling, Data centre thermal management, Sustainable cooling and heating technologies, Thermal storage, Carbon capture, and Combustion science and technology.
Department/Centre/Unit: Mathematical Sciences (MS)
Programme(s):Ph.D. Interdisciplinary program offered by National Mathematics Initiative (NMI). Open to all departments. Option of stream (a) Mathematical and Computational Biology (MCB), (b) Mathematical and Computational Engineering (MCE) are available. Separate interviews are held for both.
Note: For details visit While filling the Specialization column in the online application – If you have a M Sc in any area related to Biological Sciences, please enter Biological Sciences as the specialization. A similar procedure may be followed if the area is related to Physical Sciences or Mathematical Sciences.
Basic Qualification for Eligibility:Candidate must hold an MSc or equivalent degree in any branch of Mathematical Sciences, Physical Sciences, or Biological Sciences, or Masters in Medical Science and Technology (MMST) or a Bachelor’s degree in Medicine or a BE / B.Tech or equivalent degree in any discipline, or M.E. / M.Tech in any discipline, or a 4-year Bachelor of Science degree.
Areas of Research:Numerical Analysis; Computational Fluid Dynamics and Scientific Computation; Wireless Communication and Sensor Networks; Bioinformatics; System Biology; Computational Neuroscience; Computational Biophysics; Computational Biology; Evolutionary Biology; Theoretical Biology; Viral Dynamics; Constrained Biomolecular Dynamics; Mathematical Immunology; Stochastic Optimal Control; Mathematical Finance; Partial Differential (Algebraic) Equations; Optimization; Computational Geometry and Topology; Computational Geometry and Data Visualization; Inverse Boundary Value Problem in The Context of Imaging; Coding Theory and Techniques; Game Theory; Systems and Cognitive Neuroscience; Theoretical Ecology and Evolution; Self-organization in Ecological Systems; Collective Animal Motion.
Department/Centre/Unit: Water Research (WR)
Programme: Ph.D. Interdisciplinary programme offered by Interdisciplinary Centre for Water Research.
Basic Qualification for Eligibility:Candidate must hold a BE / B.Tech or equivalent degree in any branch of Engineering, or M.E. / M.Tech in the any discipline, or an MSc or equivalent degree in Physics, Chemistry, Materials, Mathematics, Statistics, Data Science, Environmental Sciences, Geology, Hydrogeology, Atmospheric Sciences, Agricultural Sciences, or Biotechnology, or a 4-year Bachelor of Science degree.
Areas of Research:Global and regional hydrological circulation, climate change impact on hydrology, Land-atmosphere interactions; Land use land cover and Terrestrial carbon cycle changes; Urban water systems; Urban hydrology/ hydrogeology; Watershed and river basin hydrology; Monsoon low-pressure systems; Natural hazards- Inland/coastal Floods, and droughts; Water management; Agrohydrology; Wetland science; Lake ecosystems; Aquatic geochemistry; Geothermal reservoir modelling; Isotope hydrology; Development of sensors: design, modeling and fabrication of water contaminant sensors, Satellite hydrology – Application of satellite technologies; Hydro geochemistry, contamination hydrology, Groundwater resources and depletion, Tracer hydrology, Water Quality Modeling, Water and wastewater treatment, Remediation of environmental and emerging contaminants .
Department/Centre/Unit: Issac Centre for Public Health (ICPH)
Programme: Ph.D.
Basic Qualification for Eligibility:
Candidate must hold a minimum of Second Class or equivalent in MBBS/ BDS/ BAMS/ BE/ B.Tech/ B.V.Sc/ B.Pharm, or hold a Master’s degree in Design/ Public Health, Statistics, Biostatistics, Pharmacy, Health or Hospital Management or Administration, Epidemiology, Nursing, Physiotherapy, Economics, Demography, Psychology, Sociology, Anthropology, Social Work, Environmental Sciences, Life Sciences, or Data Science.
Areas of Research: Epidemiology of infectious and noncommunicable diseases. Health systems research, Implementation Research, One Health, Disease modelling, Digital Health, Artificial intelligence-based interventions for public health, Primary care interventions, Adolescent health, Climate change and health, Environmental health, Women’s reproductive health, Healthy ageing, Community-based physical activity and nutrition interventions, Public health policy, Mobility and health
The following categories of candidates are eligible to apply for admission to the research programme, subject to satisfying requirements detailed in the subsequent sections:
Candidates possessing a minimum of second class in the following degrees are eligible to apply:
| Sl.
No. |
Qualifying degree | Qualifying in national entrance tests (Mode of entry) |
| 1 | Bachelor’s degree in Engineering/ Technology/ 4-year Bachelor of Science | Valid GATE score / NET JRF* is mandatory |
| 2 | Master’s degree in Science / Master’s degree in Economics,eography,Psychology, Management, Commerce, Operations Research, Computer Science/ Application | Valid GATE score / NET JRF is mandatory |
| 3 | Master’s degree in Engineering / Technology / Architecture/ Agriculture / Pharmacy / Veterinary Sciences | Desirable to have a valid GATE score / NET JRF/GPAT. |
| 4 | MS/MBA (post BE/B Tech/M Sc) – (applicable for the Departments of Management Studies / Ecological Sciences) | Desirable to have a valid GATE score / NET JRF. |
| 5 | Graduates of any course with a minimum duration of FOUR years, from any Centrally Funded Technical Institution (including IIITs in PPP mode) with a minimum CGPA of 8 out of 10 or its equivalent. | Desirable to have a valid GATE score / NET JRF. |
| 6 | MBBS/MD/MDS/Pharm D | Desirable to have a valid GATE score/NET JRF. |
| 7 | B Pharm | Valid GPAT score/ NET JRF is mandatory |
| 8 | BDS (Bachelor of Dental Surgery) | Valid NET JRF is mandatory |
| 9 |
BE/ B.Tech. equivalent examinations of Professional Societies, recognized by MoE/UPSC/AICTE (e.g. AMIE by Institutions of Engineers). Note: Candidates enrolled up to 31.05.2013 with professional societies (e.g. AMIE) recognized by MoE are only eligible to apply. |
Valid GATE score/NET JRF is mandatory |
| 10 | Master’s degree in Life Sciences/ Chemical Sciences from IISc with a minimum CGPA of 8.5 or equivalent (for PhD only). | Valid GATE score/NET JRF is mandatory (no minimum cutoff) |
| 11 | 1 Year M.Engg from IISc | Must have been admitted to the M.Engg. program through GATE. |
Notes
Additional notes
The selection of candidates for admission to research programmes is through an interview to be held at the Indian Institute of Science, Bangalore. To see Important Dates
The number of candidates called for interview will depend on the number of vacancies available in each department.
Short-listing for Interview
For admission to Ph D / M Tech (Research) programmes in the Engineering Faculty
[Note: Applicants must have a strong and consistent academic record and / or noteworthy academic accomplishments (awards, prizes, ranks in national exams, research publications). Thus, the short-listing of applicants for the interview process is based on one or more of the following indicators of academic excellence:
A1. Marks / Grade Point Average in ME/M Tech programmes (or equivalent), or
A2. Marks / Grade Point Average in M Sc (Engg) or equivalent research (masters degree).
B1. Marks / Grade Point Average in BE/B Tech programme (or equivalent), or
B2. Marks / Grade Point Average in B Sc and M Sc programmes(or equivalent)
C. Marks / Grade Point Average in PUC / Class XII Board Examinations
D. Marks / Grade Point Average in Class X Board Examinations]
For INSPIRE/CFTI$/ICMR JRF/DBT JRF/NBHM/other national entrance exams in which Score/Marks/Rank is not provided Career Analysis Marks(CAM)# may be used for shortlisting of Candidates for Interview.
(a) Graduate Aptitude Test in Engineering (GATE) – 2024/ 2025/ 2026
(b) Joint CSIR-UGC NET for JRF (with a valid certificate as on 01st of August 2026)
(c) UGC NET for JRF (with a valid certificate as on 01st of August 2026)
(d) ICMR JRF (with a valid certificate as on 01st of August 2026)
(e) DBT JRF 2025/2026 (with a valid certificate as on 01st of August 2026) – candidates who qualify in Category ‘I’ are eligible to apply.
(f) NBHM 2026 (with a valid award letter/certificate as on 01st of August 2026).
(g) JEST 2025/2026 (with a valid certificate as on 01st of August 2026)
(h) GPAT (with a valid certificate as on 01st of August 2026)
(i) INSPIRE FELLOWSHIP – Candidates who have been provisionally awarded INSPIRE fellowship for registering to Ph D programmes are eligible to apply (those in possession of valid provisional INSPIRE offer for consideration of the application at level II of the selection issued by DST at the time of interview).
(j) Joint Graduate Entrance Examination for Biology and Interdisciplinary Life Sciences-2026 (JGEEBILS) “
For admission to Ph D programmes in the Science Faculty
For Ph D programme in Science Faculty candidates with ME /M Tech / M Sc(Engg) / MS / MBA (post BE / B Tech / Master’s degree)/ Master’s degree in Pharmacy, Agriculture, Veterinary, Medicine degree holders will be short-listed for interview for Ph D programmes based on their academic performance (including their past performance in the national tests like GATE/ JRF/ GPAT qualified prior to their Master’s studies).
For INSPIRE/CFTI$/ICMR JRF/DBT JRF/NBHM/other national entrance exams in which Score/Marks/Rank is not provided Career Analysis Marks(CAM)# may be used for shortlisting of Candidates for Interview.
Candidates with BE/ B Tech/ M Sc/ MA/ MCA or equivalent degree should qualify in any one of the following appropriate tests given below; from ‘a’ to ‘j’. They will be short-listed for interview based on the performance in their qualifying test.
(a) Graduate Aptitude Test in Engineering (GATE) – 2022/ 2023/ 2024
(b) Joint CSIR-UGC NET for JRF (with a valid certificate as on 01st of August 2024)
(c) UGC NET for JRF (with a valid certificate as on 01st of August 2024)
(d) ICMR JRF (with a valid certificate as on 01st of August 2024) – qualified candidates are eligible for BC, ES, MB, MC, MD, NS and BE.
(e) DBT JRF 2023/2024 (with a valid certificate as on 01st of August 2024) – candidates who qualify in Category ‘I’ are eligible for BC, ES, MB, MC, MD, NS and BE.
(f) NBHM 2024 (with a valid award letter/certificate as on 01st of August 2024)- candidates are eligible for MA.
(g) JEST 2024 – qualified candidates are eligible for PH, AP, HE, MB, IP, and SS, and those qualify JEST in Theoretical Computer Science for CS.
(h) GPAT (with a valid certificate as on 01st of August 2024)
(i)INSPIRE FELLOWSHIP – Candidates who have been provisionally awarded INSPIRE fellowship for registering to Ph D programmes are eligible to apply (those in possession of valid provisional INSPIRE offer for consideration of the application at level II of the selection issued by DST at the time of interview).
(j) Joint Graduate Entrance Examination for Biology and Interdisciplinary Life Sciences-2024 (JGEEBILS) for the Centre for Neuroscience.
For admission of CFTI graduate to M.Tech (Res.) under project mode
Graduates of any course with a minimum duration of FOUR years, from any Centrally Funded Technical Institution (including IIIT in PPP mode) with a minimum CGPA of 8 out of 10 or its equivalent may be considered for admission to M.Tech (Res.) by respective Department under project mode i.e. the stipend/fellowship for such admitted students will be from the project being executed by the Department concerned.
All the candidates other than the above group should qualify in any one of the following appropriate entrance tests given below from ‘a’ to ‘j’. They will be shortlisted for interview based on the performance in their qualifying test.
(a) Graduate Aptitude Test in Engineering (GATE) – 2022/ 2023/ 2024
(b) Joint CSIR-UGC NET for JRF (with a valid certificate as on 01st of August 2024)
(c) UGC NET for JRF (with a valid certificate as on 01st of August 2024)
(d) ICMR JRF (with a valid certificate as on 01st of August 2024) – qualified candidates are eligible for BC, ES, MB, MC, MD, NS and BE.
(e) DBT JRF 2023/2024 (with a valid certificate as on 01st of August 2024) – candidates who qualify in Category ‘I’ are eligible for BC, ES, MB, MC, MD, NS and BE.
(f) NBHM 2024 (with a valid award letter/certificate as on 01st of August 2024)- candidates are eligible for MA.
(g) JEST 2024 – qualified candidates are eligible for PH, AP, HE, MB, IP, and SS, and those qualify JEST in Theoretical Computer Science for CS.
(h) GPAT (with a valid certificate as on 01st of August 2024)
(i)INSPIRE FELLOWSHIP – Candidates who have been provisionally awarded INSPIRE fellowship for registering to Ph D programmes are eligible to apply (those in possession of valid provisional INSPIRE offer for consideration of the application at level II of the selection issued by DST at the time of interview).
(j) Joint Graduate Entrance Examination for Biology and Interdisciplinary Life Sciences-2024 (JGEEBILS) for the Centre for Neuroscience.
* CAM may be used by the departments for shortlisting of applicant for interview.
Notes
(a) The interview letters for the short-listed candidates will be posted on Applicant’s interface on IISc Admission portal under Application Status link. Such candidates can take a print-out of the interview letters from the respective candidate’s LOGIN page and make necessary arrangements for attending the interview. No separate communication will be sent by post.
(b) Candidates called for interview have to make their own arrangements for travel and accommodation etc.
(c) Candidates called for interview should bring with them attested copies of all the transcripts (marks cards from SSLC or equivalent onwards, degree certificate of the qualifying examination, etc.) and produce them before the interview committee, failing which they will not be interviewed.
(d) Candidates belonging to SC/ST category should bring the original caste/tribe certificate, in case of EWS, copy of income certificate, issued by a competent authority for purposes of verification.
(e) If you belong to Economically Weaker Section (EWS) – you must produce the original Income and Asset Certificate issued on or after 01 April 2026 by the competent authority at the time of interview.
(f) If you belong to OBC-NCL catregory – you must produce the valid OBC-NCL issued on or after 01 April 2026 by the competent authority at the time of interview.
(g) Candidate belonging to PwD (person-with-disability), KM (Kashmiri-Migrant) categories should produce the originals of the appropriate certificates, issued as per Government of India rules, and Kashmiri Pandit/Kashmiri Hindu Family living in Kashmiri valley should produce Kashmiri valley domicle certificate.
(h) The offer letter for the selected candidates will be posted on Applicant’s interface on IISc Admission portal under Application Status. You can download the offer letter and make necessary arrangements including payment of fees etc. No separate communication will be sent by post.
(i) At the time of joining, candidates should have completed all the requirements for the award of the qualifying degree including all examinations, dissertation projects, viva-voice, etc.
(j) Only candidates who produce all the mark sheets and degree certificates (original or provisional) issued by the University Authority will be given regular admission.
(k) Candidates who are awaiting results but have completed all the formalities for the award of a degree should produce at the time of joining, a Course-Completion Certificate, issued by the (The Principal/Registrar). Such candidates will be given only provisional admission, which will be regularized on producing their marks sheets and, degree certificates (original, or provisional) etc., issued by the Head of the Institution/University Authority on or before 31 October 2026, failing which the provisional admission stands cancelled.
(l) Candidates who are given provisional admission are eligible for a scholarship only on regularisation of admission (on production of the required documents). They will be paid a scholarship with retrospective effect, i.e., from the date of joining.
