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