The Ph.D. programme in Artificial Intelligence at Sardar Vallabhbhai National Institute of Technology, Surat is designed to cultivate high-quality research and innovation in cutting-edge areas of AI and allied disciplines. The programme aims to develop researchers capable of addressing complex real - world challenges through advanced computational methodologies and interdisciplinary approaches.
Ph.D. Programme in Artificial Intelligence
Programme Overview
The doctoral programme is offered in both Autumn and Spring semesters. It provides a rigorous academic framework comprising coursework and research, with a minimum duration of three years and a maximum duration of seven years for completion. Scholars are required to complete coursework (minimum 12 credits) followed by focused research under the guidance of faculty experts.
Eligibility
Applicants must possess a Master’s degree in relevant disciplines such as Computer Science, Artificial Intelligence, Data Science, Electronics, or allied fields with the prescribed academic performance. Candidates are generally required to have qualified GATE/NET or equivalent national- level examinations for full-time institute-funded positions. Provisions also exist for direct admission of meritorious B.Tech. graduates and experienced industry professionals under specified criteria.
Research Areas
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The department offers research opportunities in a wide spectrum of domains including, but not limited to:
- Machine Learning and Deep Learning
- Natural Language Processing
- Computer Vision and Image Processing
- Generative AI and Responsible AI
- Data Science and Social Network Analysis
- Robotics, IoT, and Cyber-Physical Systems
- High-Performance Computing
- Blockchain, AR/VR, and Multimedia Processing
Admission Process
Admission involves an online application followed by a selection process that may include a written test, research presentation, and/or interview conducted by the department. Final selection is based on overall performance in the evaluation process.
Categories and Financial Support
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The programme accommodates multiple categories of scholars, including:
- Full-time Institute Research Scholars (FIR) with institute fellowship support
- Project-funded scholars under sponsored research projects
- External research scholars (full-time/part-time/sponsored/self-financed)
In addition to institute fellowships (as per Ministry of Education norms), scholars may avail prestigious national-level fellowships such as those offered by Council of Scientific and Industrial Research (CSIR), University Grants Commission (UGC-NET), and Department of Science and Technology (DST INSPIRE), etc. subject to eligibility and selection.