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Computer Science and Engineering | Deep Learning, Machine Learning, Data Mining, Data Science, Multilayer Networks,Network & Information Security, Climate Networks, Software Defined networking, Internet of Things, Security in IoT, Edge Computing, Resource management in Cloud, Fog/Edge, AIOps, Scheduling in Smart grid, Electric vehicles, Computational Linguistics, Bioinformatics, Natural Language Intelligence, Data Semantics, Cloud Computing, Fog Computing,Quantum Computing and Technologies, Artificial Intelligence,Big data analytics, Energy-efficiency in large scale data processing environment, Fog Computing, Emerging Databases, Graph Algorithms, Data Analytics, Computational Science for Social Good, Interpretable Machine Learning, Social Network Analysis, Computer Vision and Image Processing, Swarm Intelligence, Nature inspired optimization algorithms, Information Security, Cyber Security and Blockchain,Hybrid Cryptography, Industry 4.0 and Cyber security, Software defined firewall security, Smart city security, Smart Home Security, Network & Information Security, Supply chain analysis/optimization and impact on Stock prices (Financial Modelling), Hardware security, cryptography, FPGA design, machine learning in cyber security, Computer vision and Image Processing, Natural Language Processing, Healthcare Analytics (Big data analytics),Data Privacy,Edge Intelligence,Information Management,Resource Management in moder and future computing paradigms,Community detection,Social Network, Graph Represntation Learning, Parallel and distributed algorithms for graph data, Soft Computing and Machine learning, Data Security and Privacy, Wireless Networks, Applied Cryptograhpy, Access Control Mechanism, Privacy preserving Techniques. |
Electronics and Communication Engineering: | VLSI and FPGA based system design,Computer Vision and Image Processing, Natural Language Processing and Recommender Systems, Machine Learning, Image Processing. |
Computational Mathematics | Statistical or Stochastic Learning and Optimization, Mathematics for Data Science, Financial Modelling, Swarm Intelligence, Nature inspired optimization algorithms. |
A candidate who is having INSPIRE/CSIR/UGC can apply for full-time Ph.D programme. Such candidate receives assistantship or fellowship from concerned funding agencies. The Institute does not provide any financial assistantship/fellowship to such candidates. Sponsorship letter must be attached with the application
A candidate in this category is sponsored by a recognized R&D organization, academic institution, government organization or industry or QIP candidates for doing research in the Institute on a full-time basis. The candidate must be a regular employee of the sponsoring organization with at least one year of professional experience in the respective field. The Institute does not provide any financial assistantship/fellowship to such a student. Sponsorship letter must be attached with the application.
A candidate in this category works full-time towards the PhD Programme. The Institute does not provide any financial assistantship/fellowship to such a student except teaching assistantship to a limited number, on a case to case/need basis.
A candidate of this category working in Industries/Institutes/research Organisations can register as an External registrant and can pursue a Ph.D. Programme at IIIT Kottayam while continuing the duties of his/her service at the parent organization. The Institute does not provide any financial assistantship/fellowship to such a candidate. No Objection Certificate in the prescribed format must be attached with the application. An external registrant scholar is required to spend a one-semester residential program preferably in the I year, during the course work. Other academic regulations are the same as those applicable to regular students.
Computer Science and Engineering | Master’s degree in Computer Engineering/Information Technology/ Computer Applications/ ECE or equivalent area with minimum CGPA of either 6.5 in a 10-point scale or 60% of marks in appropriate branches. OR (ii) Four-year Bachelor’s degree in Computer Engineering / Information Technology/ Electronics and Communication Engineering from any IIT’s, NIT’s, IIIT’s / Other Institutions of National Importance with a minimum CGPA of either 7.5 in a 10-point scale or 70% of marks. Such students will be awarded both MS and PhD degree on completion of PhD Programme without any exit option during the programme. |
Electronics and Communication Engineering: | Master’s degree in ECE/ EEE or equivalent area with minimum CGPA of either 6.5 in a 10-point scale or 60% of marks in appropriate branches. OR (ii) Four-year Bachelor’s degree in Electronics and Communication Engineering/Electrical Engineering from any IIT’s, NIT’s, IIIT’s / Other Institutions of National Importance with a minimum CGPA of either 7.5 in a 10-point scale or 70% of marks. Such students will be awarded both MS and PhD degree on completion of PhD Programme without any exit option during the programme. |
Computational Mathematics: | 2 years M.Sc. / Integrated M.Sc. in Mathematics/ Mathematics and Computing/ Applied Mathematics/Statistics or an equivalent degree with a minimum of 60% aggregate in the qualifying examination. |
An application fee of Rs.1000/- for general/OBC and Rs 500/- for SC/ST/PWD/Female candidates will have to be paid through State Bank Collect.
Details Of Fees | First Year | Second Year | Third Year | |||||
---|---|---|---|---|---|---|---|---|
First Semester | Second Semester | Third Semester | Fourth Semester | Fifth Semester | Sixth Semester | |||
Tuition Fee | 22,000/- | 22,000/- | 22,000/- | 22,000/- | 22,000/- | 22,000/- | ||
Hostel/facility maintenance fee | 25,500/- | 25,500/- | 28,050/- | 28,050/- | 30,855/- | 30,855/- | ||
Mess Advance | 23,100/- | 23,100/- | 25,410/- | 25,410/- | 27,950/- | 27,950/- | ||
Medical Insurance | 950/- | 950/- | 950/- | |||||
Caution Deposit (One time Fee) | 10000/- | |||||||
Sports (One time Fee) | 750/- | |||||||
Mess (One time Fee) | 750/- |
Candidates will be shortlisted based on the eligibility criteria and called for the section process (Written test and/or Interview). The final selection will be completely based on their performance in written test and/or interview.
Dates to Remember: | ||
LAST DATE FOR RECEIVING APPLICATIONS: | 30/11/2022 | |
WRITTEN TEST/ INTERVIEW: | 04/12/2022-07/12/2022 | |
CLASSES BEGIN: | 04/01/2023 |
If you feel any difficulty, please contact phdprogramme@iiitkottayam.ac.in for queries about PhD admission January-2023. Please contact itsupport@iiitkottayam.ac.in for technical queries, or call 04822202114
Contact Us
Dr. Dhanyamol M.V
Assistant Professor & Faculty in-charge
PhD Programme
e-mail: dhanya@iiitkottayam.ac.in
web: www.iiitkottayam.ac.in
Phone: 0482220-2162,2137
Help Desk - 0482220-2162,2137
phdprogramme@iiitkottayam.ac.in
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