Already registered user?
Login










Please allow pop-ups

Applications are invited for admission to the Doctor of Philosophy (PhD) programme starting in December 2022. The areas in which these programmes will be offered are:

   

Computer Science and Engineering   

   

Deep Learning, Machine Learning, Data Mining, Data Science,Multilayer Networks, 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, 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),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, Pattern Classification,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.   

    Categories of PhD Students :


  • i) SCHOLARSHIP HOLDERS (FULL-TIME)

  • 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

  • ii) SPONSORED (FULL-TIME)

  • 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.

  • iii) SELF-FINANCED (FULL-TIME)

  • 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.

  • iv) PART-TIME

  • A candidate in this category must be a regular employee of the sponsoring organization with at least one year of professional experience in the respective field and who can pursue the PhD Programme at IIIT Kottayam while continuing the duties of his/her service at the parent organisation. The Institute does not provide any financial assistantship/fellowship to such a candidate. Sponsorship letter in the prescribed format must be attached with the application. A part time scholar is required to spend one semester residential program preferably in the 1st year during the course work


Eligibility Criteria for Admission into PhD Programme

   

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.

   

APPLICATION FEE

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.


SELECTION CRITERIA

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:    

22nd June 2022

WRITTEN TEST/ INTERVIEW:    

1st ,2nd,3rd and 4th July 2022

CLASSES BEGIN:    

1st December 2022

If you feel any difficulty, please contact phdprogramme@iiitkottayam.ac.in for queries about PhD programme-2022. Please contact itsupport@iiitkottayam.ac.in for technical queries.


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 - 0482220-2164,2137
phdprogramme@iiitkottayam.ac.in

12899 hits