IIT Bhilai 2024 Admissions PhD

IIT Bhilai 2024 Admissions PhD – Online Application Process

IIT Bhilai 2024 Admissions PhD – Online Application Process. IIT Bhilai 2024 Admissions PhD Notification. Interested and eligible applicants can check out all of the details on the same below:

PhD Admission at IIT Bhilai

Application portal for admission to PhD program for 2024-25-M semester at IIT Bhilai will be available from 18 March 2024.

IIT Bhilai is an institute of national importance declared as such under the Institutes of Technology (Amendment) Act 2016 to provide for education and research in various branches of engineering, technology, science, and liberal arts. The focus of IIT Bhilai is to prepare young individuals to become professional leaders of tomorrow by imparting cutting-edge technical skills and knowledge, so that they can take on the real-life challenges in the future with confidence and maturity. IIT Bhilai is striving for research-driven undergraduate and postgraduate education. Our objective is to create an educational system with multifaceted outcomes, including research, entrepreneurship, technical leadership, and above all, responsible citizenship.

IIT Bhilai offers PhD programs in the following department/disciplines.

  • Bioscience and Biomedical Engineering
  • Chemistry
  • Computer Science and Engineering
  • Data Science and Artificial Intelligence
  • Electrical Engineering
  • Electronics & Communication Engineering
  • Materials Science and Metallurgical Engineering
  • Mathematics
  • Mechanical Engineering
  • Mechatronics Engineering
  • Physics

IIT Bhilai invites applications for admission to PhD program in various disciplines for the session starting from July 2024.

Eligibility criteria for PhD admission

  1. Applicants must have ONE of the following in appropriate subject areas.
    1. Master’s degree in engineering/Technology with first class, 60% marks (55% marks for SC/ST) or equivalent.
    2. Bachelor’s degree in engineering/Technology with first class, 60% marks (55% marks for SC/ST) or equivalent.
    3. Master’s degree in science, arts, social sciences with first class 60% marks (55% marks for SC/ST) or equivalent.
    4. #M.Pharm with first class, 60% marks (55% marks for SC/ST) or equivalent.
    5. #M.B.B.S or B.D.S with first class, 60% marks (55% marks for SC/ST) or equivalent.
  2. Applicants must also fulfil ONE of the following additional requirements.
    1. Valid GATE/GPAT# Score (Also refer to Table 1 below for department/discipline specific criteria).
    2. Junior Research Fellowship (JRF) of CSIR/ UGC/ NBHM/ DBT/ ICAR/ ICMR/ ICPR/DAE or DST INSPIRE Fellowship (Also refer to Table 1 below for department/ discipline specific criteria).
    3. Minimum of 2 years of relevant 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.
    4. BTech from IIT with a CPI/CGPA of 8.0 or more.
    5. #NEET-PG, NEET-AIIMS (INI-CET), NEET-MDS scores as applicable.

# Applicable for admission to PhD program in Bioscience and Biomedical Engineering only.
An ongoing degree may also be considered as a qualifying degree provided the applicant graduates before the PhD program starts.
Department/discipline specific requirements are given in Table 1.

Table 1: Department/ Discipline specific criteria for PhD admission

Discipline Criteria
Bioscience and Biomedical Engineering Valid GATE score in BM/BT/CH/CS/CY/EC/EE/MA/ ST/XE/XL/ME/PH/IN or Junior Research Fellowship (JRF) of CSIR/ UGC in Physical Sciences, Chemical Sciences, Life Sciences.
Chemistry CSIR-UGC NET (JRF/LS) in Chemical Sciences or Valid GATE score in CY
Computer Science and Engineering Valid GATE score in CS/ EC/ EE/ MA/ ST/DA or valid DST INSPIRE Fellowship or CSIR-UGC NET in Computer Science and applications.
Data Science and Artificial Intelligence Valid GATE score in any engineering discipline/MA/ST or valid DST INSPIRE Fellowship or valid CSIR-UGC NET in Computer Science and applications.
Electrical Engineering Valid GATE score in EE/ EC/ IN/ CS/ MA/ PH/ XE.
Electronics & Communication Engineering Valid GATE Score in CSE/EC/EE/IN/ PH or Junior Research Fellowship (JRF) of CSIR/ UGC in Electronic Science.
Materials Science and Metallurgical Engineering Valid GATE Score in any engineering discipline/CY/PH/GG/XE or CSIR-UGC NET (JRF/LS) in Physical Sciences, Chemical Sciences, Earth Sciences.
Mathematics CSIR-UGC NET (JRF/LS) in Mathematical Sciences or Valid GATE score in MA/ST.
Mechanical Engineering Valid GATE score in AE/ CE/CH/ME/MT/ PI/ PH/XE or JRF in allied areas of Mechanical and Physical sciences.
Equivalency of MTech degree obtained through online/executive programme with regular (offline) MTech degree will be assessed based on the course and thesis credit completed during the programme.
Mechatronics Engineering Valid GATE Score in ME/EE/EC/PI/IN/AE.
Physics CSIR-UGC NET (JRF/LS) in Physical Sciences or Valid GATE Score in PH/EE/XE/ME.

 

Application categories for PhD admission

Applicant meeting the eligibility criteria may apply for admission to the PhD program under any of the following categories.

  1. Institute Fellowship
  2. Sponsored full-time
  3. Sponsored part -time
  4. External full-time
  5. External part -time

A. Institute Fellowship: 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.

Student enrolled in this category (i.e., category A) receives Institute Fellowship as per the norms defined by the Ministry of Education, Govt. of India.

Applicant applying under sponsored and External category (i.e., category B to E) DOES NOT receive institute fellowship.

B. Sponsored 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 for the duration of PhD tenure may apply under this category. A sponsored 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 must be submitted by the applicant at the time of applying for admission. In case the applicant is employed by an organisation, he/she shall submit an undertaking of the employer endorsing that he/she shall be relieved for staying on the campus for the nominal duration of the program.

C. Sponsored 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 part-time category. The applicant must be an employee of a recognized organization and be engaged in professional work in the relevant area. The student must be available in person for discussion/meeting with the supervisor on a regular basis. The applicant shall give an undertaking at the time of admission duly endorsed by the employer (No Objection Certificate) that he/she will be relieved for the course work.

D. External full-time: An applicant working in industry / academic establishment / research laboratories having R&D facilities may apply under this category. An 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 (No Objection Certificate) to that effect from the sponsoring organization must be provided by the applicant at the time of applying for admission. The applicant shall provide the CV of the prospective supervisor(s) who would supervise the applicant’s work at his/her organization. Student shall have a supervisor from his/her parent organization and a co-supervisor from IIT Bhilai.

E. External part-time: An applicant working in industry / academic establishment / research laboratories having R&D facilities may apply for admission to PhD programs under this category. An 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 (No Objection Certificate) to that effect from the sponsoring organization must be provided by the applicant at the time of applying for admission. Student shall have a supervisor from IIT Bhilai and a co-supervisor from his/her parent organization. The applicant shall provide the CV of the prospective co-supervisor(s) who would supervise the applicant’s work at his/her organization.

Thrust Research Area (Not limited to)

Department/Discipline Broad Areas of Research
Bioscience and Biomedical Engineering Protein folding and stability, biophysics, bioinformatics,macromolecular simulations, infectious and Alzheimer’s disease, tissue engineering, drug delivery, cancer biology: MRI and optical imaging,bio microfluidics, artificial organs, artificial skin fabrication, drug diffusion through skin, targeted drug delivery, biosensors, Lab-on-a-chip devices, blood flow in microchannels.
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, Computational spectroscopy, Computational Asymmetric Catalysis, Computational Catalysis, Bioinformatics and Bioinorganic Chemistry,Electrochemical energy storage devices and Nanomaterials.
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, Approximation Algorithms, Combinatorial Optimization, Network Science, Vehicle Routing Problems, Energy Efficient Scheduling Problems. Distributed Computing, Algorithms for Mobile robots.
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. centrality measures, Graph Learning for Network. Analysis.
Electrical Engineering 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.
Control & Instrumentation: Remote sensing, Bio-sensors, Digital Control, Intelligent Control, Image Processing, Computer Vision, Analysis of remote sensing images/data, Flexible Sensors.
Power System: Power electronics and drives, power system and Renewable Energy.
Electronics & Communication Engineering VLSI Technology and Fabrication, Flexible Electronics, Microelectronics, Electronic Sensors, Signal Processing, Image/video processing, Quantum Image Processing, Machine Learning, Computer Vision, Internet-of-Things (IoT), 5G and beyond communications.
Materials Science and Metallurgical Engineering Computational materials science, Polymers, Nano-composites, Organic devices and Sensors, Organic and Hybrid materials, Optical and Nonlinear Optical materials, Photoactuators, Electrode materials and Battery Degradation Mechanism, Inorganic-organic hybrid materials, Nanostructured Smart Materials, Energy Materials and Devices, thermal spray coating, machining and grinding of superalloys, sheet metal forming, additive manufacturing, High Entropy Oxides, Thermoelectrics.
Mathematics Functional Analysis, Operator Theory, Probability Theory, Statistics, Number Theory, Topology and Combinatorics, Analysis of Partial Differential Equations.
Mechanical Engineering (a) Solid Mechanics and Design: Computational mechanics, Damage and Fracture Mechanics, Dynamics, Experimental Mechanics, Structural health monitoring, Vibrations etc.
(b) Fluid and Thermal Sciences: Alternative fuels, emissions and exhaust aftertreatment, Boiling and Condensation, Building Energy Efficiency, Computational Fluid Dynamics (CFD), Droplet and Interfacial Science, Heat transfer, Internal combustion (IC) Engines, Life cycle assessment, Microfluidics, Multiphase flow, Renewable energy, Thermal hydraulics of nuclear reactor, Transport in Porous media, Thermal Comfort, Thermal system simulation etc.
(c)Manufacturing technology: Artificial Intelligence in Manufacturing (AIMM), Advanced PVD coating for cutting tools, Bioinspired microtextured surfaces, Casting, Development and Processing of Advanced Materials – Light weight alloys, advanced superalloys, composites; Friction stir welding/processing, Incremental forming, Laser-based manufacturing, Metal cutting and forming, Micromachining, Microstructure-manufacturability correlation; Nonconventional machining, Simulation of manufacturing processes, Surface Engineering/coating, Thin & Thick-film tribology, Welding, Wire-arc/additive manufacturing etc.
Mechatronics Engineering Online condition monitoring in advanced manufacturing processes, Microfabrication, Building mechatronics, and Intelligent buildings, AIassisted 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 High Energy Physics: Neutrino Oscillation, CP violation and T violation studies, Decay and Decoherence effects, Quantum Entanglement in Neutrino Oscillation, LGI Violation in Neutrino system. Astro-particle Physics, Dark Matter, Direct-Indirect and Collider studies of Dark Matter, Gravitational Waves in the domain of Particle Physics. Quantum information science: Quantum Computing and Quantum Technology.
Time-Resolved Optical spectroscopy: Raman spectroscopy of hybrid 2D materials and density functional theory calculations, Optoelectronic transport.
Soft Matter: Active colloids, Self-assembly and self-organization in soft matter systems, Micro- and Nanorobots/Nano motors, Nanomaterials, biomaterials and bio applications, Advanced nanosystems for Biosensing.
High Energy Physics, Thermal Field Theory, Heavy Ion phenomenology, Quark-Gluon Plasma.
Astrophysics and cosmology, supermassive black-holes, galaxies, dark matter.
Applications of Light Shaping and Sensing, Interferometry, Structured laser beams, Information Optics, Optical Imaging, Phase Retrieval, Vision Optics.
Electrochemistry for multi-functional device applications; In-situ Spectroscopic (UV-Vis, Raman, and FTIR) methods to study and understand device’s mechanism. Strain engineering of semiconductor nanomembranes; Semiconductor physics and devices; Organic and printed electronics.

 

Guidelines for PhD applications

  1. Applicants must read the instructions given in the brochure carefully before filling up the application form.
  2. Applicants must fill out the online application form available at Apply Now. There is NO need to send a hardcopy of the application forms.
  3. Separate application form is to be filled if applicants are applying in more than one department/discipline.
  4. Reservations are applicable for applicants in other Backward Class-Non-Creamy layer (OBC-NCL)/ Scheduled Caste (SC)/ Scheduled Tribe (ST)/ Person with benchmark disability (PwD) / Economically weak section (EWS) category, as per Government of India rules. Necessary supporting documents must be attached to avail such reservation during online application and the same will be verified at the time of admission.
  5. Applicants should complete the application form in all respects. Incomplete application will not be considered.
  6. Applicants MUST keep the following documents (softcopy) ready to upload during their application process:
    • Photograph.
    • Academic certificates (10th/12th, UG & PG certificates, etc. whichever is applicable)
    • Mark-sheet of all semesters/Consolidated mark-sheet of the qualifying degree. Result awaited applicants have to upload their latest/previous semester mark-sheet.
    • Caste certificate (OBC-NCL/SC/ST), if applicable.
    • Experience certificate and any other relevant documents., whichever applicable.
  7. Applicants must also provide the details of at least two well acquainted people who can provide reference letters in support of candidature of applicant. At least one of them must be an academician and must have taught the applicant.
  8. Applicants having degree from foreign universities should upload equivalence certificate from Association of Indian Universities (AIU), New Delhi for qualifying Exam and proof of having first class or 60% (55% for SC/ST) marks or equivalent in qualifying examination.
  9. Applicants are advised to check the Institute website for results / important announcements. Applicants are also advised to check emails sent to the email address provided in their applications for all important communications and announcements. All communications related to admission will be communicated only through email.
  10. Applicants called for written test/interview should bring with them
    • Photo ID Card,
    • Printed copy of the application submitted online,
    • Thesis / dissertation / report / publications,
    • All Original certificates and mark-sheets.

Tentative Schedule of Admission for PhD Program in 2024-25-M semester

S.N. Particulars Date
1. Start date of application (online only) March 18, 2024 (10:00 Hrs IST)
2. Last date for submitting an online application form and completing the payment April 30, 2024 (17:00 Hrs IST)
3. Entrance Tests and Interviews. May 2024

 

The dates given above are tentative. Any changes in the dates will be indicated on the website. Candidates are requested to check Institute website and their email regularly for updates.

Application Process

STEP-I: Apply Online

Candidate must apply online from IIT Bhilai website. A fresh registration is required for each Program, for which, an applicant would like to apply. Applicant must fill all required information and upload documents, if any, sought in application.

STEP-II: Application Finalization

Finalization of application is mandatory. If not finalized, the application will not be considered. Editing/modification/addition is not possible after finalization of the application form. Hence, candidate should verify details before finalizing the application form. Once is application is finalised; application number will be generated. Candidates should note the application number for future reference.

STEP-III: Make Payment

  • Application fee of 100 INR is applicable for SC/ST/PwD/female candidates and 200 INR is applicable for other candidates.
  • Payment of application fee must be made through State Bank Collect only. Candidate shall visit SBI Collect, for fees payment (SBI collect link is provided in the portal).

In the SBI collect portal please select category as “Educational Institutions” and search for “IIT BHILAI” then you will be redirected to “Enter payment details” where you need to select the payment category as “PhD Application Fee 2024-25 M Semester”. Candidates need to pay applicable fee as per their category and complete the fee payment. The candidate has to clearly mention the application id in the correct format (Eg: ME-101) while filling-up SBI collect challan for payment. After making payment, SBI Collect will generate payment reference number (viz. DU12345678), candidate has to retain a copy of sbi i-collect receipt for any future reference.

STEP-IV: Add Payment Details

This step should be done after the generation of SBI Collect DU reference number. Applicant has to add the DU reference number to his/ her application.

Note: Candidates who are applying for more than one PhD program need to apply and pay application fee for each program separately.


Note: For any query, write to [email protected]

Editor’s Note: IIT Bhilai 2024 Admissions PhD – Online Application Process. Subscribe to Rasayanika for the latest chemistry and Pharma job openings, follow us on Facebook and Telegram and subscribe to our youtube channel for the latest updates on chemistry and Pharma jobs and much more. IIT Bhilai 2024 Admissions PhD. IIT Bhilai 2024 Admissions PhD.

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