PhD Admissions in Computer Science, AI, and Related Fields at Bennett University Bennett University in

Bennett University is inviting applications for PhD admissions 2026–27 in a range of research areas under the supervision of Dr. Vipul Dixit in the School of Computer Science Engineering and Technology (SCSET).

The main research interests highlighted in the post include Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Explainable AI (XAI), Quantum Computing, Quantum Communication Network, Healthcare Analytics, Signal Processing, Remote Sensing, IoT, and Smart Systems. The announcement also mentions related PhD opportunities across faculties such as Computer Science Engineering and Technology, Engineering and Applied Sciences, Law, Management, Media & Journalism, Liberal Arts, Artificial Intelligence, Library & Information Science, and Design.

This is a full-time, part-time, and sponsored research PhD admission call. For full-time PhD scholars, the post advertises a scholarship of ₹40,000 per month. It also mentions JRF/Teaching Assistantship of Rs. 60,000 per month for deserving full-time candidates, along with contingency support for conferences, workshops, and academic events. Students will also have access to strong research infrastructure, including high-end computing facilities such as NVIDIA DGX.

Eligibility highlights: candidates should be highly motivated, research-oriented, and have a strong academic background. The selection process includes a written test and personal interview, though candidates with valid NET, UGC/CSIR (JRF), ICAR, SLET, GATE, or Teacher Fellowship credentials may be exempt from the written test during the validity period.

Important dates: applications open on 15 May 2026, the closing date is 30 June 2026, the entrance examination/interview is scheduled for 14 July 2026, results are expected on 21 July 2026, registration is on 28 July 2026, and the program commences on 1 August 2026.

Interested candidates should apply online through Bennett University’s admissions process and may contact the PhD cell at [email protected] for more information.