IIIT Kottayam PhD Admission 2025-26 Notification Released! Apply Now
Indian Institute of Information Technology Kottayam
Valavoor (PO), Pala, Kottayam, Kerala – 686635
Introduction to IIIT Kottayam PhD Admission 2025-26
The Indian Institute of Information Technology Kottayam (IIIT Kottayam) invites applications from motivated and research-oriented students for the Ph.D. programmes starting in January 2026. This is a fantastic opportunity for scholars seeking advanced research in various technological and interdisciplinary domains. Prospective candidates interested in the IIIT Kottayam PhD Admission 2025-26 process should carefully review the eligibility criteria, important dates, and research areas detailed below to ensure a successful application.
The Institute is offering a diverse range of research areas across its departments, from Artificial Intelligence and Cyber Security to Digital Humanities and Management. Candidates must fulfill the eligibility requirements set by the Institute for the IIIT Kottayam PhD Admission 2025-26 for their respective discipline.
Table of Contents
Important Dates for IIIT Kottayam PhD Admission 2025-26
| Event | Date |
|---|---|
| ONLINE APPLICATION PORTAL OPENS | 17th October 2025 |
| LAST DATE FOR RECEIVING APPLICATIONS | 14th November 2025 |
| WRITTEN TEST AND INTERVIEW | 16th-20th November 2025 |
Categories of Ph.D. Students for IIIT Kottayam PhD Admission 2025-26
The **IIIT Kottayam PhD Admission 2025-26** is open to candidates under four distinct categories:
- i) SCHOLARSHIP HOLDERS (FULL-TIME): These students work full-time for their Ph.D. degree and receive assistantship/fellowship from recognized funding agencies such as INSPIRE, CSIR, UGC, NBHM, or any other recognized funding agency.
- ii) SPONSORED (FULL-TIME): Candidates in this category are sponsored by a recognized R&D organization, academic institution, government organization, or industry, or are QIP candidates. They must be a regular employee of the sponsoring organization with at least one year of professional experience. The Institute does not provide financial assistantship to these students. A sponsorship letter is mandatory.
- iii) SELF-FINANCED (FULL-TIME): Full-time students in this category are not provided with any financial assistantship/fellowship by the Institute, except for a limited number of teaching assistantships offered on a case-to-case/need basis.
- iv) EXTERNAL REGISTRANTS: This category is for candidates working in Industries/Institutes/Research Organisations. They can pursue the Ph.D. Programme while continuing their duties at their parent organization. Financial assistance is not provided by the Institute. An External registrant scholar is required to spend a one-semester residential program, preferably in the first year during the course work. A No Objection Certificate (NOC) is required with the application.
Eligibility Criteria for IIIT Kottayam PhD Admission 2025-26
| Discipline | Minimum Eligibility Requirements |
|---|---|
| Computer Science and Engineering |
|
| Electronics and Communication Engineering |
|
| Computational Mathematics | Two 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. |
| Management | Two-year Master’s degree in Management (MBA, MHRM, MSW-HR etc.) or an equivalent PG degree or 2 years PG Diploma in management with a minimum CGPA of 6.0 in a 10-point scale or 55% of marks. |
| Digital Humanities | Two year Master’s Degree in Humanities, Sciences, Arts, Linguistics, Media, Communication, Engineering or related disciplines with a minimum CGPA of 6.5 in a 10 point scale or 60% of marks. |
Major Areas of Research for IIIT Kottayam PhD Admission 2025-26
The IIIT Kottayam PhD Admission 2025-26 provides an exhaustive list of research topics across all departments. The major areas of research are as follows:
Computer Science and Engineering (CSE)
The CSE department is accepting applications for the IIIT Kottayam PhD Admission 2025-26 in cutting-edge fields like Artificial Intelligence (AI), covering Deep Learning, Data Science, Machine Learning, AI for Social Good, Responsible and Explainable AI, Quantum Computing, and Computer Vision. Further topics include Cyber Security (Information Security, Network Security, Blockchain, Digital Forensics, Offensive Security), IoT Security, Software Engineering, Intelligent Transportation systems, and Multimedia Security. This expansive list reflects the institute’s commitment to diverse and impactful research in the current technological landscape.
| Area | Specific Topics |
|---|---|
| Artificial Intelligence (AI) and Data Science | Deep learning, Bioinformatics, Ayurinformatics, Natural Language Processing, Data science, Machine learning, AI for Social Good, Optimization, Distributed Computing, Edge/Fog Computing, AI DS – in Medical Informatics, Data analytics, Image Processing, Responsible and Explainable AI, Interpretable AI, Graph Theory and Algorithms, Intelligent Transportation systems, Quantum Computing, Quantum Optimization, Quantum Machine Learning, Quantum AI, Graph Learning, Computer Vision, Precision agriculture, UAVs in agriculture, Autonomous Vehicles, Federated Learning, EV charging and scheduling, Medical image processing, Big Data, Cloud Computing, Brain Connectivity Models, Climate Dynamics, Graph-Based Machine Learning, Semantic Knowledge Networks, Recommender Systems, AI Driven Portfolio Management, Intelligent Video Analytics for surveillance, Geospatial data and applications, Multimodal Fusion, Memory Optimization, IoT and Its Applications. |
| Cyber Security | Information Security, Cyber Security, Network Security, Lightweight cryptography, Adversarial attacks, Federated learning, Malware, AI&ML for Systems and security, Edge Intelligence and Computing, Network and Blockchain Security, Offensive Security, Exploit Development, OSINT, AI in Offensive Security, Ethical Hacking, Web Application Security, Hardware security, ML on security, Privacy preserving Security Aspects of EV Infrastructure, Applied Cryptography, Post-quantum Cryptosystem, Digital Forensics, AI for Digital Forensics and Crime Investigation, Mobile Application Forensics and Security, Multimedia security, Multimedia forensics, Privacy IoT Security, Biometric Security, Blockchain technology. |
Electronics and Communication Engineering (ECE)
| Area | Specific Topics |
|---|---|
| AI, Signal Processing, and Communication | AI, Deep Learning, Robotics, Machine Learning, Fuzzy Neural Network, Signal and Image Processing, Wireless Communication, Signal Processing for Wireless Communication, AI, Machine Learning and Deep Learning for Wireless Communication, Wireless Communication Technologies for Beyond 5G Systems, Waveform Design, RF and Microwave, Antenna Design, Optical Wireless Communication, Free Space Optics, Photonics, Ocean Optics, Lasers, Spectroscopy, Embedded Systems, Optoelectronics, Quantum Sensing, VLSI and Embedded Systems, FPGA Design for Artificial Intelligence, Electronic Instrumentation, Acoustic Source localization using AI/ML, Piezoelectric Vibration Energy Harvesting, Nanoelectronics and IoT, Speech Processing, Wireless Networks, Wireless Sensor Networks, Vehicular Communication, Signal detection and estimation. |
Computational Mathematics
| Area | Specific Topics |
|---|---|
| Computational Mathematics | Fuzzy Mathematics, Computational Mathematics, Mathematical and Computational Finance, Optimization in Machine Learning and Deep Learning, Evolutionary Optimization, Computational Intelligence, Quantum Computing, Geometric function theory, Fluid Mechanics, Bio Fluid Mechanics, Operation Research, Differential Equations, Scientific Machine Learning, Graph theory and Network Science, Graph Algorithms, Interconnection Networks, Brain Network and Network Analysis, Climate Modeling, Machine Learning for Complex Systems, Physics-Informed Neural Networks, Graph Neural Networks, Dynamical Systems & Mathematical Modeling, Nonlinear Fractional Differential Equations. |
Management
| Area | Specific Topics |
|---|---|
| Management | Organisational Behaviour, Human Resources Management, Marketing Management, Business Analytics, Operations and Supply Chain management, Strategic Management, Startups and Entrepreneurship. |
Digital Humanities
| Area | Specific Topics |
|---|---|
| Digital Humanities | Cultural Analytics, Human Centered Artificial Intelligence, Digital Storytelling & Interactive Narratives, Digital Literary Studies, Computational Social Science, Platform studies, Critical AI studies, Techno-Cultural Studies, Human-Computer Interaction. |
Application Fee for IIIT Kottayam PhD Admission 2025-26
| Category | Application Fee (via SBI Fee Collect) |
|---|---|
| General/OBC | Rs. 1000/- |
| SC/ST/PWD/Female candidates | Rs. 500/- |
Selection Criteria
Selection for the IIIT Kottayam PhD Admission 2025-26 will be based on the candidate’s performance in a written test and/or interview. It is important to note that merely appearing for the test and/or interview does not automatically guarantee admission to the Ph.D. programme.
