भा.प्रौ.सं. गाँधीनगर: उत्कृषटता के 15 वर्षसमाचार


Start Early PhD

IIT Gandhinagar recognizes the importance of creating opportunities for aspiring young learners to gain entry into the exciting arena of scientific research. The Start Early Ph.D. Fellowship of IITGN is conceived to meet this need. This full-time residential fellowship is designed to enable budding scientists and engineers to gain early entry into the Ph.D. programmes at IIT Gandhinagar. The objective of this programme is to put promising young undergraduate students from diverse disciplines on the fast-track mode of cutting edge technological research in order to prepare them to participate in the process of nation building.

Important Dates

  • September 25, 2024

    Application Open

    October 17, 2024 by 5:00 PM (IST)

    Application Deadline

    October 24-26, 2024

    Announcement of the Shortlisted Candidates (tentative)

    November 1-20, 2024

    written test and/or Interviews

Research overview | List of existing PhD scholars

Brochure Apply

  • Brochure
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  • Eligibility Criteria

    Eligibility Criteria


    Final year BTech (4-year programme)/BS (4-year programme)/Integrated Master of Science (5-year programmes) students from IITs/IISc with a CPI/CGPA of not less than 6.0 out of 10 at the end of their 3rd year.

    Final year BTech (4-year programme)/BS (4-year programme)/BS-MS (5-year programme) students from NITs/IISERs with a CPI/CGPA of not less than 8.0 at the end of their pre-final year.

    For students in SC/ST/PwD category, a relaxation of 0.5 in the CPI/CGPA shall be applicable on the above-mentioned norms.

    Final year BTech students from other select colleges, as defined by the institute, who are among the top 5 rank holders in the departments at the end of their pre-final year. For students in SC/ST/PwD category, they need to be among the top 10 rank holders as per the relaxed criteria.

    You may check with the HOD/Director of your college to see if your college is included in the list of select colleges. The Department Head / Principal / Director of the respective institute will be required to issue a rank certificate supporting each application. You may download a template of the certificate from the application portal. Students may contact us admission@iitgn.ac.in to check their eligibility.

    There is No GATE qualification requirement.

  • Fellowship

    Fellowship

    Rs. 47,000/- per month (with valid GATE score)

    Rs. 37,000/- per month (without GATE score)

  • Highlights

    Highlights


    GATE score is NOT mandatory for admission

    Candidates are encouraged to appear for GATE for an enhanced stipend rate

    Monthly stipend of Rs 47,000 (For candidates with valid GATE score) or Rs 37,000 (for others)

    Travel support up to Rs 2 Lakhs for attending international conferences

    Support of up to $12,500 may be considered for research at leading Universities/Labs abroad for a period of upto 6 months.

  • Application Procedure

    Application Procedure

    All applications must be submitted online. On submission of the application form, the candidate will be redirected to the homepage of the portal, where they can download the form. The applicants are requested to download the form and keep a copy with them. A mail to the candidate regarding the details of the application and a link to download the application form is sent after the submission.

    You need to furnish a hardcopy of the application form and all the documentary evidence (copies of testimonials, certificates, publications, work experience and research/professional experience) at the time of interview. Incomplete applications will be rejected.

    While applying online you need to upload a rank certificate issued by the Head of the Department of your college/university.

    There is NO application fee.

    You NEED NOT send the hard-copy of the application form.

  • Admission Procedure

    Admission Procedure

    Admission is generally offered on the basis of an interview, which is supplemented by a written test if necessary. The final selection will be mainly based on academic credentials, written test and/or interview.

    The reserved category candidates will be given due relaxation in cutoff marks as per the norms.

    The mode (offline/online) and dates for the written test (if any) and interview will be communicated to the shortlisted candidates by their respective departments.

  • Focus Areas
    • Biological Sciences and Engineering

      1. DNA Regulatory Mechanisms
      2. Ultrasound (Imaging, Diagnostics, and Ultrasound-mediated therapy)
      3. Chemical and Biomolecular Crystallography
      4. Computational Biology, Systems Biology
      5. Plant biology (Development, Reproduction, Cell-cell Signaling, Biotechnology)
      6. Drug Delivery Technologies
      7. Biomaterials (Hydrogels and Implants) and Tissue Engineering
      8. Neuroscience
      9. Peptide Engineering

    • Chemical Engineering

      1.Heterogeneous catalysis, Catalyst synthesis, Multiphase reactions
      2. Functional materials (CO2 capture, adsorbents), Surface Engineering and Superhydrophobic surfaces,
      3. Pharmaceutical Engineering and Drug Delivery, Biomaterials, Stimuli-responsive hydrogels, nano-drug suspensions, microbubbles for biomedical applications such as drug delivery and ultrasonic imaging,
      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. Machine learning potentials in material simulations; electronic structure and Delta-ML models for organic solar cells and LEDs
      2. Molecular simulations to explore interactions at the graphene aqueous interface; Development of molecular simulations protocols to study phytochemicals from Indian Traditional Medicines; Investigating the role of carbohydrates in bio-molecular systems using molecular simulations.
      3. Catalysis for CO2 conversion to fuel, carbon capture and utilization, green hydrogen, electrochemistry, Materials chemistry"
      4. Electrochemical Reduction of CO2; Molecular electrocatalysis for nitrogen to ammonia interconversion,
      5. Photocatalysis with gold nanoparticles, sunlight to hydrogen production, Single-particle spectroscopy, plasmonics;
      6. Development of novel organocatalysts, Application of organocatalysis to the asymmetric synthesis of bioactive molecules;
      7. Chemical Biology, Cancer therapeutics, Drug Discovery,
      8. Synthesis of Fluorescent dyes, polymers, and bioimaging,
      9. Adsorptive materials, biomass-inorganic nanocomposites, rare earth elements and N-harvesting,
      10.Small molecule activation, Catalysis with main group compounds, Low-valent main group compounds, Dinitrogen and carbon dioxide fixation using 3d-transition metal complexes
      11. Chemical biology of organelles, small molecule and nanoscale material development for targeting organelles in cancer.
      12. Photosensitizers for Photodynamic Therapy (PDT) and design of novel photo redox catalysts for organic transformations

    • Civil Engineering

      1. Geotechnical Engineering: Dynamic behavior of soils, soil liquefaction, suction and collapse of unsaturated soils, constitutive modeling of soils, geotechnical earthquake engineering, geosynthetics
      2. Water Resources Engineering: Machine learning architectures for hydrological sciences, resilience of urban water distribution systems, land surface hydrologic modeling, remote sensing applications in hydrology, climate change impacts and risk assessment on water resources, dam breach and levee breach hydraulics, integrated urban water management, blockage/leak detection in pipes, modeling of floods and droughts
      3. Structural Engineering: Fire engineering, tall structures, performance-based earthquake engineering of structures, probabilistic seismic hazard and ground motion characterization, seismic isolation of nuclear structures, structural health assessment and monitoring, resilience of infrastructure, computational solid mechanics, 3D concrete printing, topology optimization, multiscale material modeling, blast engineering
      4. Environmental Engineering: Aerosols and air quality, indoor air quality, pollution mitigation
      5. Transportation Engineering: Mechanistic modeling of flexible and rigid pavements, pavement-environment interaction, urban sustainability, AI/ML applications in transportation engineering
      6. Construction Materials: Sustainable building materials, high-performance concrete, life cycle assessment, characterization techniques

    • Cognitive and Brain Science

      1. Learning, Memory
      2. Motor Control, Movement Disorders, Rehabilitation, Visuo-motor control and processing,
      3. Emotion
      4. Attentional selection and control,
      5. Visual Cognition, Embodied Cognition, Multlingual Cognition,
      6. Robotics, Human Robot Interaction,
      7. Decision Making,
      8. Tactile Hallucinations in Schizophrenia
      9. Brain Connectivity,
      10. Tactile Perception,
      11. Bilingual Processing and Mental Lexicon,
      12. Language Acquisition
      13. Multisensory Perception,
      14. Curiosity
      15. Human-computer interaction and Brain-Computer interface

    • Computer Science and Engineering

      1. Theoretical computer science, Computational complexity, Algebra and computation, Algorithms;
      2. Machine learning; Game theory;
      3. Formal methods and verification;
      4. Quantum machine learning, Natural language Processing, Large Language Modelling;
      5. Computer Vision, Computer Graphics, Deep Learning Applications for Vision and Graphics;
      6. Human-computer interaction, Brain-computer interface, Eye-tracking, Explainable AI, Medical imaging, Artificial intelligence of things, eHealth;
      7. Software Engineering using Generative AI, Empirical Software Engineering, Software Testing, Mining Software Repositories;
      8. System security, Web security, Usable privacy and security;
      9. AI hardware design, Processor design and validation, Hardware Security, AI for Hardware Design and Test.
      10. Graph neural networks, GNNs for citywide simulation.
      11. Computer Networks, Network Security, Distributed Systems, Cloud computing and Computer Architecture

    • 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. Mircopalaeontology and Palaeoclimate.

    • 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 Signal Processing, Human Computer Interaction
      5. Computer Vision, Image and Video Processing, Computer Graphics, Deep Learning
      6. Adaptive Signal Processing, Array Signal Processing, Audio and Speech Signal Processing
      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, Fibre-optics, Nanophotonics, Electromagnetic Metamaterials, Computational Electromagnetics
      12. Next-generation ultrasound imaging and therapy

    • Humanities and Social Sciences

      1. Academic Writing and Literacy, Second Language Acquisition, English for Academic Purposes. Linguistic Anthropology;
      2. Social History of Bengal and British Assam
      3. Northeast India in the nineteenth and the twentieth centuries;
      4. Indian Writing in English, Representation of Women in Indian English along with Bengali literature, Indian Diasporic Literature in English;
      5. Ancient Indian Technologies, Ethnoarchaeology, Experimental Archaeology, Northeast Indian Archaeology, Indigenous Archaeology, Repatriation and Archaeometallurgy;
      6. Archaeozoology and Environmental Archaeology
      7. Education, Educational Technology, Teacher Professional Development, Learning Sciences.
      8. Psychoanalysis,
      9. Continental Philosophy
      10.Global Modernist Studies

    • Materials Engineering

      1. Antimicrobial polymers, Biocomposites, Nanoparticles for drug delivery
      2. Quantum materials and devices: synthesis, structure-property correlations, and device fabrication.
      3. Thin Film Fabrication, (Opto)electronic materials,Thermal barrier/chemical/oxidation-resistant coating development
      4. Medium entropy alloys-Microstructure design and mechanical property characterization
      5. Alloy design, Co-,Fe-,Al-, Cu-based alloys and high entropy alloys, deformation mechanism, hydrogen embrittlement
      6. Tribology of 2D materials, Surface Wetability, Ceramic Membranes
      7. Biomaterials, Environmental Application of Materials, Nanomaterials, nanomedicine
      8. Defect engineering, material design for novel applications, nanometer length scale structure-property measurments

    • Mathematics

      1. Partial Differential Equations;
      2. Number Theory;
      3. Numerical Analysis

    • 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. Theoretical and Applied Mechanics: Material Mechanics, Biomechanics, Fracture mechanics, Damage Mechanics, Beams, Composites.

    • Physics

      1. High Energy Particle Physics Theory: Flavor physics, Dark Matter
      2. Theoretical High Energy Physics: LHC and future collider studies, model building and phenomenology.
      3. Renewable energy harvesting, optoelectronic, photoelectrochemical and sensing applications of functional materials and composites
      4. Modelling of nanomagnetic/spintronic devices
      5. Experimental Active Matter Physics
      6. Gravitational Wave Astronomy
      7.2D Materials and heterostructures, Quantum materials, Spintronics, Desalination and Fuel cell membranes, Nanoscale Transport

For further information, you may contact us at admission@iitgn.ac.in.