IIT Gandhinagar: 15 Years of ExcellenceNews


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Special Ph.D. Admission Drive (Semester-I, AY 2024-25)

for students from SC/ST/OBC(NCL)/PwD categories


IIT Gandhinagar invites applications from highly motivated students from SC/ST/OBC(NCL)/PwD categories for admission to its Ph.D. programme for the academic year 2024-25 (Semester I).

Currently, we offer Ph.D. programme in Biological Sciences and Engineering, Chemical Engineering, Chemistry, Civil Engineering, Cognitive and Brain Sciences, Computer Science and Engineering, Artificial Intelligence, Earth Sciences, Earth Systems Science, Archaeological Sciences, Electrical Engineering, Humanities & Social Sciences, Society & Culture, Materials Engineering, Mathematics, Mechanical Engineering, Physics.

Prospective students satisfying the eligibility criteria are encouraged to acquaint themselves with the research areas of our faculty members for suitable matches of interests.

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Important Dates

  • January 24, 2024

    Application Opens

    March 21, 2024

    Application Deadline

    April 3, 2024

    Announcement of Shortlist (Tentative)

    8-22 April 2024

    Interviews and/or written test

    May 15, 2024

    Announcement of Results (Tentative)

* The exact date/time for the written examinations and/or interview will be communicated to the shortlisted candidates by the respective department/academic office.


Research overview | List of Scholars | Ph.D. — Find out more


Select "Ph.D-Special-Drive" from the drop-down menu in the admission portal.


  • Eligibility Criteria

    Eligibility Criteria


    At least 55% marks (50% marks for SC/ST/PD) or 5.5 CPI (5.0 CPI for SC/ST/PD) in M.A./M.Sc./B.Tech./M.Tech./BS (IISc, IISER)/BS-MS (IISER) or equivalent degree in appropriate branches. Above mentioned eligibility criteria is minimum at Institute level.

    For discipline wise minimum eligibility criteria, please click here. The disciplines may use higher cut off levels for short listing besides giving due consideration to the way questions are answered in the application form. Candidates belonging to SC/ST/PD categories would be eligible for relaxations, as per norms, in the selection criteria.

  • Admission Categories

    Admission Categories


    Regular(RR): Fulltime residential research candidate.

  • Financial Support

    Financial Support


    Students joining the Ph.D. program as regulars (RR) may be considered for the Institute Fellowship (subjected to availability of fund) based on the following norms:

    1. Candidates with qualifications in any of the points (a-f) mentioned below are eligible for a monthly fellowship of Rs. 37,000/-.
      • a). Post Graduate Degree in Basic Science with NET/GATE Qualification or Graduate Degree in Professional Courses (B.Tech/B.E.) with NET/GATE Qualification or Postgraduate Degree in Professional Courses (M.Tech/M.E. etc)
      • b). BTech degree from a CFTI (Centrally Funded Technical Institute) with CPI at least 8.0 (on a scale of 10).
      • c). MSc/MA from IITs with CPI at least 8.0 (on a scale of 10)
      • d). BS from IISc with CPI at least 6.4 (on a scale of 8)
      • e). BS-MS from IISERs with CPI at least 8.0 (on a scale of 10)
      • f). BS from IISERs with CPI at least 8.0 (on a scale of 10)
    2. After successful completion of two years in a regular Ph.D. programme, a Ph.D. candidate may be eligible for a monthly fellowship of Rs. 42,000/-.

    Find Out More

    Explore details about the various opportunities for scholarships and awards.

  • Admission Procedure

    Admission Procedure


    Admission is generally offered on the basis of an interview, which is supplemented by a written test if necessary. The Institute will invite a limited number of candidates for a written test and/or interview based on the academic records, statement of purpose, etc. The final selection will be mainly based on academic credentials, written test and/or interview.

    In addition to the announced admission cycles with prescribed deadline of application, the Institute also considers applications any time of the year in case of exceptional candidates. Based on the qualifications of the candidates and the need of the discipline concerned, applications received are processed through duly constituted selection committees at regular intervals.

  • Application Procedure

    Application Procedure


    All applications must be submitted online. If you are applying for more than one discipline, please submit a separate application for each discipline. After successful submission of the application form, you will receive an application number and a link to download the application form. Please save the application form. You need to furnish hardcopy of the application form and self attested copies of all the relevant documents at the time of interview. Incomplete applications will be rejected

    Application Fees: Rs. 150/- (SC/ST/PWD Category) and Rs. 300/- (OBC)
    You NEED NOT send the hard-copy of the application form.

    Important Dates

    Application Opens - January 24, 2024
    Application Deadline - March 21, 2024
    Announcement of Shortlist (Tentative) - April 3, 2024
    Interviews and/or written test - 8-22 April 2024
    Announcement of Results (Tentative) - May 15, 2024

    * The exact date/time for the written examinations and/or interview will be communicated to the shortlisted candidates by the respective department/academic office .

  • Focus Areas
    • Biological Sciences and Engineering

      1. Epigenomics and Genome regulation (Evolution of gene function, Stress response)
      2. DNA Regulatory Mechanisms
      3. Quadruplex Nucleic Acids in Disease Regulation, Chemical Biology
      4. Neuroscience (Learning, Memory, Neural Control of Movement, Movement Disorders, Rehabilitation)
      5. Ultrasound (Imaging, Diagnostics, and Ultrasound-mediated therapy)
      6. Biomolecular Crystallography
      7. Computational Biology, Systems Biology
      8. Plant biology (Development, Reproduction, Cell-cell Signaling, Biotechnology)
      9. Drug Delivery Technologies
      10. Biomaterials (Hydrogels and Implants),
      11. DNA Nanotechnology
      12. Stem Cell Differentiation and Tissue Engineering
      13. Neurodegenerative Diseases and Therapeutics
      14. Cancer Biology and Therapeutics
      15. Peptide Engineering

    • Chemical Engineering

      1. Chemical Reaction Engineering, Heterogeneous catalysis, Catalyst synthesis, Multiphase reactions
      2. Functional materials (CO2 capture, adsorbents), Surface Engineering and Superhydrophobic surfaces
      3. Pharmaceutical Engineering and Drug Delivery, Biomaterials, nano-drug suspensions, microbubbles for biomedical applications such as drug delivery and ultrasonic imaging, Stimuli-responsive hydrogels, Biomedical Engineering
      4. Wastewater treatment, Drinking water
      5. Powder Technology, Particulate matter and aerosols
      6. Polymer Processing, Polymer Gels, Polymer Blends, Shape memory polymers, Smart Polymeric Materials, Polymer Ionic Liquids, Polymer nanocomposites
      7. Process Engineering, Control, and Optimization, Cyber-Physical Systems for Industrial Manufacturing and Buildings, Machine Learning and Data Science
      8. Colloids and Interfaces, Rheology
      9. Thermodynamics and Statistical Mechanics, Molecular simulations, Protein aggregation and protein folding, Biomolecular Simulations,molecular dynamic simulations for aqueous solutions of drug molecules
      10. Supercapacitors and other energy storage devices
      11. Bio-printing, 3D printing
      12. Crystallization of pharmaceuticals, polymorphic behavior of pharmaceuticals
      13. Flow and transport in porous media, Hydrodynamic instability
      14. Building Energy Management, Indoor air quality, atmospheric transport and transformation of pollutants
      15. Synthetic biology, protein engineering
      16. Nanotechnology, Hybrid nanomaterials, and biomolecules for agricultural applications.

    • Chemistry

      1. Chemistry Machine learning potentials in material simulations
      2. Photocatalysis with gold nanoparticles, sunlight to hydrogen production, Single-particle spectroscopy, plasmonics
      3. Molecular simulations of graphene membrane
      4. Post-translational modifications influencing disordered protein aggregation
      5. Electrochemical Reduction of CO2
      6. Molecular electrocatalysis for nitrogen to ammonia interconversion, Development of novel organocatalysts, Application of organocatalysis to the asymmetric synthesis of bioactive molecules
      7. Chemical Biology, Cancer therapeutics
      8. Drug Discovery, Synthesis of Fluorescent dyes and polymers, and theranostic imaging, adsorptive materials, biomass-inorganic nanocomposites, rare earth element and N harvesting, Small molecule activation with Main group metal complexes, dinitrogen fixation.

    • Civil Engineering

      1. Dynamic behavior
      2. Liquefaction
      3. Suction and collapse of unsaturated soils
      4. Constitutive modeling
      5. Earthquake Engineering
      6. Geosynthetics
      7. Machine learning architectures for Hydrological Sciences
      8. Resilience of Urban water distribution systems
      9. Land surface hydrologic modeling, remote sensing applications in hydrology, Climate change impacts on water resources
      10. Dam breach and levee breach hydraulics, Integrated urban water management, Blockage/leak detection in pipes
      11. Fire engineering, Sustainable building materials, Performance-based earthquake engineering, Tall structures, Probabilistic seismic hazard and ground motion characterization, Seismic isolation of nuclear structures, Structural health assessment and monitoring, High-performance concrete, 3D concrete printing, Resilience of infrastructure, Computational solid mechanics, topology optimization, multiscale material modeling, Blast engineering
      12. Environmental Engineering
      13. Aerosol and Air Quality
      14. Indoor Air Quality
      15. Pollution Mitigation, Climate Change Risk Assessment on Water Infrastructure, Modeling of floods and droughts, Transportation Engineering, Mechanistic modeling of flexible and rigid pavements, pavement-environment interaction, urban sustainability, AI/ML applications in pavement engineering.

    • Cognitive Science

      1. Learning, Memory
      2. Motor Control, Movement Disorders, Rehabilitation, Visuo-motor control and processing
      3. Emotion, Attentional selection and control
      4. Visual Cognition, Embodied Cognition, Multilingual Cognition
      5. Robotics, Human Robot Interaction
      6. Decision Making
      7. Neural Correlates of Music & Meditation
      8. Early Detection of Alzheimer's Disease using Machine learning
      9. Brain Connectivity
      10. Tactile Perception
      11. Bilingual Processing
      12. Mental Lexicon
      13. Multisensory Perception
      14. Curiosity

    • Computer Science and Engineering

      1. Theoretical computer science, Computational complexity, Algebra and computation, Algorithms
      2. Machine learning
      3. Quantum machine learning, Natural language Processing, Large Language Modelling
      4. Computer Vision, Computer Graphics, Deep Learning Applications for Vision and Graphics
      5. Brain-Computer Interface, Eye-tracking, Medical Imaging, Artificial Intelligence of Things, eHealth
      6. Software Engineering using Generative AI, Empirical Software Engineering, Software Testing, Mining Software Repositories
      7. System security, Web security, Usable privacy and security, Formal methods and verification

    • Earth Sciences

      1. Climate Change, Water Resources
      2. Solid Earth, Mineralogy and Mineral Physics, High Pressure Metamorphism
      3. Geothermal Energy, Carbonate Depositional Systems, Sea level change
      4. Geophysics, Geodynamic Modelling, Statistical Seismology, Numerical modeling of landscapes
      5. River Science, Earth Surface Processes, tectonic geomorphology
      6. Natural Hazards and risk, Remote sensing & GIS
      7. Environmental Archaeology, Geoarchaeology
      8. Archaeology, Ceramic Petrology, Ancient Technology
      9. Micropaleontology and Paleoclimate

    • Electrical Engineering

      1. Nanoelectronics, Nanotechnology, Advanced Semiconductor Devices, Emerging Memories, High-Frequency Analog Circuit Design, Multi-scale modeling, Analog IC Design, Semiconductor device and process modeling, Power Management IC Design
      2. VLSI Design, Computing in Memory for ML, AI Hardware, Computer Architecture
      3. Power Management Integrated Circuit (PMIC) Design, IoT electronic system design
      4. Biomedical Engineering, Human Computer Interaction
      5. Computer Vision, Image and Video Processing, Computer Graphics, Deep Learning
      6. Signal Processing, Soft Computing
      7. Control Systems, Estimation Theory
      8. Power Systems and Smart Grid
      9. Electrical Machines and Power Electronics
      10. Smart power electronics for Renewable Energy Integration and Electric Vehicles
      11. Photonic Sensors, Fiber-optics, Nanophotonics, Electromagnetic Metamaterials, Computational Electromagnetics
      12. Next-generation ultrasound imaging and therapy

    • Humanities and Social Sciences

      1. Cognitive Linguistics, Linguistic Anthropology
      2. Modern Indian History, History of Bengal and Northeast India in the nineteenth and the twentieth centuries
      3. Indian Writing in English, Representation of Women in Indian English along with Bengali literature, Indian Diasporic Literature in English
      4. Ethnoarchaeology and Experimental Archaeology, Archaeometry, Archaeometallurgy, Museum Studies (including new museology), Indigenous Archaeology, Field Archaeology
      5. Education, Educational Technology, Teacher Professional Development, Learning Sciences

    • Mechanical Engineering

      1. Thermofluids: Fluid Mechanics and Heat transfer, Compressible flows, Turbulence, Combustion and propulsion, Fuel cells, Complex Fluids, Porous media, Boiling, Condensation and frosting.
      2. Robotics and Dynamics Systems: Control systems, Robotics, Nonlinear dynamics and wave propagation
      3. Solid Mechanics: Material Mechanics, Biomechanics, Fracture mechanics, Beams, Composites.

    • Materials Engineering

      1. 2D Materials and heterostructures, Quantum materials, Spintronics, Desalination and Fuel cell membranes, Nanoscale Transport
      2. Non-wetting, Tribology, Ceramics Processing, Corrosion
      3. Alloy design, Phase Transformations, Vacuum Technologies
      4. Antimicrobial polymers and surfaces
      5. Thin Film Fabrication, Optoelectronic Characterization, Thermochromic coating, low emissivity coating
      6. Mechanical properties of high entropy alloys at different temperature, cu-Ag sintering
      7. High temperature alloys, Physical metallurgy, Deformation mechanism, Al-,Cu-,Fe-based alloys
      8. AI and ML applications in Materials Science
      9. Biomaterials, Environmental Application of Materials, Nanomaterials, nanomedicine

    • Mathematics

      1. Partial Differential Equations
      2. Probability & Stochastic Processes
      3. Matrix Analysis
      4. Spectral Graph Theory

    • Physics


      1. Particle physics theory: Flavor physics, Dark Matter
      2. Theoretical High Energy Physics: Hot and Dense QCD matter
      3. High Energy Theory: Effective Field Theory and scattering amplitude and their application to gravitational wave, TQFT and AdS/CFT
      4. Nanostructure synthesis and characterization for photonics device applications
      5. Nanomagnetism and Spintronics
      6. 2D Materials and heterostructures, Quantum materials, Desalination and Fuel cell membranes, Nanoscale Transport
      7. Experimental Active Matter Physics
      8. Soft Condensed Matter Physics, sedimentation and flow of colloidal suspensions; active matter dynamics

  • PMRF

    Prime Minister's Research Fellowship


    The Prime Minister's Research Fellows (PMRF) Scheme has been designed for improving the quality of research in various higher educational institutions in the country. With attractive fellowships, the scheme seeks to attract the best talent into research thereby realizing the vision of development through innovation. The scheme was announced in the Budget 2018-19. The institutes which can offer PMRF include all the IITs, all the IISERs, Indian Institute of Science, Bengaluru and some of the top Central Universities/NITs that offer science and/or technology degrees. The candidates will be selected through a rigorous selection process and their performance will be reviewed suitably through a national convention time to time. Kindly visit https://iitgn.ac.in/pmrf for more details about PMRF.