IIT Bhilai PhD Admission 2022-23 – IIT Bhilai invites applications for admission into PhD programmes for academic session 2022-23 commencing in July 2022.
Get complete details such as application process, important dates, fee and more for IIT Bhilai PhD Admission 2022-23 here.
Latest – List of shortlisted candidates is available now
PhD Program offered
IIT Bhilai offers PhD programs in the following disciplines.
- Computer Science and Engineering
- Data Science and Artificial Intelligence
- Electrical Engineering
- Electric Vehicle Technology
- Liberal Arts
- Mechanical Engineering
Eligibility Criteria for IIT Bhilai PhD Admission 2022
Candidates must have ONE of the following in relevant subject areas.
- Master’s Degree in Technology/ Engineering or equivalent degree with a minimum of 1st class, 60% marks or equivalent (55% marks for SC/ST).
- Bachelor’s degree in Technology/ Engineering with a minimum of 1st class, 60% marks or equivalent (55% marks for SC/ST)
- Master’s degree in science or equivalent degree with a minimum of 1st class, 60% marks or equivalent (55% marks for SC/ST)
Candidates must have ONE of the following additional requirements.
- Valid GATE Score or CSIR-UGC NET (JRF/LS) (Also refer to Table below for discipline specific criteria).
- Junior Research Fellowship (JRF) of CSIR/ UGC/ NBHM/ DBT/ ICAR/ ICMR/ ICPR/DAE or DST INSPIRE Fellowship (Also refer to Table below for discipline specific criteria).
- Minimum of 2 years of professional experience. The experience gained while acquiring a Master’s Degree in Engineering/Technology or experience acquired after obtaining the qualifying degree and completed before the starting of the semester in which admission is sought may be considered as professional experience.
- B.Tech from IIT with a CPI/CGPA of 8.0 or more.
- An ongoing degree may also be considered as a qualifying degree provided the applicant graduates before the PhD program starts.
Discipline Specific Criteria for IIT Bhilai PhD Admission 2021
|Chemistry||CSIR-UGC NET (JRF/LS) in Chemical Sciences if applicable,|
GATE in CY if applicable.
|Computer Science and Engineering||GATE score in CS/ EC/ EE/ MA/ PH if applicable.|
|Data Science and Artificial Intelligence||GATE score in any engineering discipline/MA/ST, if applicable.|
|Electrical Engineering||GATE score in EE/ EC/ IN/ CS/ MA/ PH/ XE if applicable.|
|Electric Vehicle Technology||GATE score in ME/ EE/ EC/ IN/ AE/ CY/CH/XE/XE-F/XE-C/PI, if applicable.|
CSIR-UGC NET (JRF/LS) in Chemical Sciences/Physical Sciences, if applicable.
|Liberal Arts||CSIR-UGC NET (JRF/LS) in Psychology/ English/ Economics, if applicable.|
GATE in XH, if applicable. ICMR JRF in Social Sciences, if applicable.
|Mathematics||CSIR-UGC NET (JRF/LS) in Mathematical Sciences, if applicable.|
GATE in MA/ST,if applicable.
JRF in NBHM/DST-INSPIRE if applicable.
|Mechanical Engineering||GATE score in AE/ CE/ ME/ PI/ PH/ XE if applicable.|
|Mechatronics||GATE Score in ME/EE/EC/PI/IN/AE if applicable.|
|Physics||CSIR-UGC NET (JRF/LS) in Physical Sciences, if applicable|
GATE in PH/EE/XE/ME, if applicable
DST-Inspire, if applicable.
Application Categories for PhD Admission
Applicant meeting the eligibility criteria may apply for admission to the PhD program under any of the following categories.
- Sponsored external full-time
- Sponsored external part -time
- Sponsored non-external full-time
- Sponsored non-external part -time
Applicant applying under this category has to be a full-time scholar at IIT Bhilai and needs to be present on the campus for the duration of PhD program as per the rules of IIT Bhilai.
A regular student receives Institute Fellowship as per the norms defined by the Ministry of Education, Govt. of India.
B. Sponsored external full-time
An applicant working in industry / academic establishment / research laboratories having R&D facilities may apply under this category. A sponsored external full-time student needs to be involved in full-time research at the organization employing the student.
Such a student is expected to carry out all/major part of the research work in the organization employing the student. The employer must explicitly undertake to relieve the applicant for staying in the campus to complete the required course work. A certificate to that effect from the sponsoring organization must be provided by the applicant at the time of applying for admission. The student will be under joint supervision of a supervisor from IIT Bhilai and one from his/her parent organization. The applicant shall provide the CV of the prospective supervisor who would supervise the applicant’s work at his/her organization.
C. Sponsored external part-time
An applicant working in industry / academic establishment / research laboratories having R&D facilities may apply for admission to PhD programs as an external applicant. A sponsored external part-time student may be involved in his/her regular job assignments along with the research for PhD.
Such a student is expected to carry out all/major part of the research work in the organization employing the student. The employer must explicitly undertake to relieve the applicant for staying on the campus to complete the required course work. A certificate to that effect from the sponsoring organization must be provided by the applicant at the time of applying for admission. The student will be under joint supervision of a supervisor from IIT Bhilai and one from his/her parent organization. The applicant shall provide the CV of the prospective supervisor who would supervise the applicant’s work at his/her organization. Such applicants may apply as full-time or part-time scholars.
D. Sponsored non-external full-time
An applicant who is either awardee of research fellowship from some recognized funding agency (CSIR/ UGC/ NBHM/ DBT/ ICAR/ ICMR/ ICPR etc. or DST INSPIRE Fellowship) or is sponsored by his/her employer or is ready to self-sponsor himself/herself for the duration of PhD tenure may apply under this category. A sponsored non-external full-time student needs to be present on the campus for the duration of PhD and be involved in full-time research as per the rules of IIT Bhilai. A certificate/declaration of sponsorship from the sponsoring body(self-declaration in case of self-sponsored) must be submitted by the applicant at the time of applying for admission.
E. Sponsored non-external part-time
Professionally employed personnel such as working engineers, scientists and teachers who can, while employed, attend regular classes as per schedule of IIT Bhilai may apply for admission to PhD program under sponsored non-external part-time category. The applicant must be an employee of a recognized organization and be engaged in professional work in the area to which admission is sought. The student must be available in person for discussion/meeting with the supervisor on a regular basis. The applicant shall give an undertaking endorsed by the employer that the applicant will be relieved to attend all classes.
Candidate applying under category B to E DOES NOT receive institute fellowship.
Thrust Research Areas
|Discipline||Broad Areas of Research|
|Chemistry||Inorganic and Organometallic Chemistry, Polymer Chemistry, Halide Perovskite and Photo(electro)chemistry, Biomaterials, Inorganic & metal- organic chemistry, Theoretical and computational chemistry, catalysis and organic synthesis, Molecular Modeling, MD Simulations , Bioinformatics and Bioinorganic Chemistry.|
|Computer Science and Engineering||Systems and Networks:High Performance computing, Embedded computing, Edge computing, VLSI, Computer/Wireless networks, Compilers, Distributed systems, Multi-UAV systems, Scalable and Distributed Machine Learning Systems, Performance Analysis, Flying and adhoc network.|
Theoretical computer science: Algorithms, Formal Verification Methods. algorithms for mobile agents, Graph based Problems, UAV Path Planning, Graph theory.
Security: Hardware, Software, Blockchain, Quantum Computing and Quantum Cryptography, High Performance Cryptanalysis, Fault Attacks.
|Data Science and Artificial Intelligence||AI & Machine Learning: Pattern Recognition, Graph Neural Networks, Deep Learning, Reinforcement Learning, Explainability and Fairness in AI.|
Data analytics: Computer vision, Time Series Analysis, Analysis of multimedia data such as audio, image, and video. Analysis of remote sensing data, Medical Image Processing, Edge Analytics, Big Data Analytics and Visualization.
Social & complex network analysis: Social Computing, Network science, Information diffusion, fake news detection, community detection.
|Electrical Engineering||Communications & Systems: Computer/Wireless networks, Reconfigurable Intelligent Surfaces, Embedded systems & ML applications in IoT & Healthcare. Edge Computing applications.|
Devices: Solar cells, PV module, fabrication of large area devices, large area perovskite solar cells, perovskite photodetectors, perovskite-Si tandem solar cells, PV module reliability.
Circuit Design: VLSI and Microelectronics, Analog/Digital/Mixed signal IC Design, CMOS Image sensors, Application Specific ICs (ASICs), System-on-a-chip (SoC), CMOS image sensors, Event Based Sensors for Machine Vision, LiDAR.
Power: Application of Power electronics to power systems, Renewable Energy, Electric Vehicle.
Control & Instrumentation: Remote sensing, Bio-sensors, Digital Control.Signal Processing: Digital Speech Processing, Image Processing, Computer Vision, Signal Processing for Functional magnetic resonance imaging (fMRI), Analysis of remote sensing images/data.
|Electric Vehicle Technology||Data-driven Control, Battery Modeling, Electric Drives, Motors, Power Electronics based Control for Electric Vehicles (EV) Application, Welding for Battery Packs, Additive Manufacturing for Automotive Components,Numerical Simulation, Battery Thermal Management System (BTMS), EV Management Systems including Battery Management, Hybrid and Electric Vehicles, Battery Protection against Mechanical Abuse, Energy StorageTechnologies, Battery Chemistry, Energy and Electrochemistry, Development of Electrode Materials for Battery, Battery Pack Construction.|
|Liberal Arts||Literary and Cultural Studies, Development Economics, Positive Psychology, and Positive Organizational Behavior.|
|Mathematics||Functional Analysis, Operator Theory, Probability Theory, Statistics, Commutative Algebra, Number Theory, Topology and Combinatorics, Operation Research, Numerical Analysis, Complex Analysis.|
|Mechanical Engineering||Solid Mechanics and Design: Computational mechanics, Experimental Mechanics, Damage and Fracture Mechanics.|
Fluid and Thermal Sciences: Microfluidics, Multiphase flow and heat transfer, Droplet and Interfacial Science, Thermal hydraulics of nuclear reactor, Internal combustion (IC) Engines Alternative fuels and exhaust aftertreatment, Computational Fluid Dynamics (CFD), Boiling and Condensation, Thermal Comfort, Building Energy Efficiency, Renewable energy.
Manufacturing and Material Science: Bioinspired microtextured surfaces, Metal cutting, non-conventional machining, metal forming, Incremental forming, Advanced PVD coating for cutting tools, simulation of manufacturing processes, Additive manufacturing, Laser based manufacturing, Micromachining, Surface treatment, Surface texturing, Aluminum, Magnesium and Titanium alloys, Metal matrix composites, High entropy alloys, High-temperature materials, Severe Plastic deformation, Casting, Powder metallurgy, Structure-Property Correlations, Thin & Thick-film tribology, Welding, Wire arc additive manufacturing, Friction stir welding and processing, Surface Engineering.
|Mechatronics||Online condition monitoring in advanced manufacturing processes, Microfabrication, Building mechatronics, and Intelligent buildings, AI-assisted laser-based manufacturing/metal forming, Feedback controlled material testing, Application of machine vision in mechanical testing, Portable devices for manufacturing, Pneumatic actuator systems control using thermally responsive fluids, Digital microfluidics, Maglev micro robotics, Neuromechanics and Assistive Robotics, Consensus control of UAV, Cognitive automation and Machine/Artificial Intelligence, Cooperative and adaptive mechatronics system, Computer vision, Data-driven modeling and control.|
|Physics||Thin-Film Fundamentals, Perovskite Photovoltaics- Materials, Devices and Integration; Time-Resolved Optical spectroscopy, Raman spectroscopy of hybrid 2D materials and density functional theory calculations; Self-assembly and self-organization in soft matter systems, Micro- and Nanorobots/Nano motors, Nanomaterials for bio applications, Biosensing; Thermal Field Theory, Heavy Ion phenomenology, High Energy Physics, Astro-particle Physics, Neutrino Physics, Astrophysics and cosmology.|
Schedule of Admission for IIT Bhilai PhD Admission 2022
|Start of Online Application||April 05, 2022 (10:00 Hrs IST)|
|Last date for submitting online application||May 20, 2022 (17:00 Hrs IST)|
These dates are tentative. Any changes in the dates will be indicated on the official website of IIT Bhilai.
Entrance Tests and Interviews Dates
|Chemistry||June 20, 2022|
|Computer Science and Engineering||June 20, 2022|
|Data Science and Artificial Intelligence||June 21, 2022|
|Electrical Engineering||June 22, 2022|
|Electric Vehicle Technology||June 23, 2022|
|Liberal Arts||June 23, 2022|
|Mathematics||June 24, 2022|
|Mechanical Engineering||June 21, 2022|
|Mechatronics||June 24, 2022|
|Physics||June 22, 2022|
IIT Bhilai PhD Admission 2022 Application Process
Applicant need to apply online from IIT Bhilai website
Candidates should note down the Application Number generated after filling the details,.
Upload your testimonials wherever it is required to validate your details along with your digital signature or photograph.
After final submission take out the print of application and this may be retained with you for future requirements.
|SC/ST/PwD/female candidates||Rs. 100/-|
|other candidates||Rs. 200/-|
Payment of application fee has to be done through State Bank Collect only.
IIT Bhilai PhD Admission 2022 Results
Call letters with detailed information on further selection process have already been sent through email. Applicants who were in the shortlisted list but not received call letter shall contact through email ‘[email protected]
|Computer Science and Engineering||List|
|Data Science and Artificial Intelligence||List|
|Electric Vehicle Technology||List|
For more details and to apply online – visit
IIT Bhilai PhD Admission 2021
Schedule of Admission for IIT Bhilai PhD Admission 2021
|Start of Online Application||April 05, 2021 (10:00 Hrs IST)|
|Last date for submitting online application||May 05, 2021 (17:00 Hrs IST)|
These dates are tentative. Any changes in the dates will be indicated on the official website of IIT Bhilai.
Entrance Tests and Interviews Dates
|Computer Science and Engineering||June 14, 2021|
|Chemistry||June 15, 2021|
|Data Science and Artificial Intelligence||June 16, 2021|
|Electrical Engineering||June 15, 2021|
|Liberal Arts||June 15, 2021|
|Mathematics||June 14, 2021|
|Mechanical Engineering||June 16, 2021|
|Physics||June 16, 2021|
IIT Bhilai PhD Admission 2020
Schedule of Admission for IIT Bhilai PhD Admission 2020
|Start of Online Application||March 16, 2020|
(10:00 Hrs. IST)
|Last date for submitting online application||April 15, 2020 |
(17:00 Hrs. IST)
Entrance tests and interviews
|Physics||June 01, 2020|
|Computer Science and Engineering||June 01, 2020|
|Electrical Engineering||June 02, 2020|
|Mechanical Engineering||June 02, 2020|