PhD in Mathematical and Data-Driven Optimization at SRM Institute of Science and Technology SRM Institute of Science and Technology in

SRM Institute of Science and Technology (SRMIST), Department of Mathematics, is inviting applications for a PhD in Mathematical & Data-Driven Optimization for Fall 2026. The research group led by Dr. Bikash Koli Dey focuses on mathematically rigorous, computation-driven research that connects pure mathematics with real-world industrial problems.

Research themes include applied mathematics, operations research, machine learning, statistics, mathematical modeling, and physics-informed neural networks (PINNs). Application areas highlighted in the post include supply chain management, smart manufacturing, inventory control, and other optimization problems involving uncertainty, nonlinearity, and real-time decision-making.

The post advertises a strong research environment with global collaborations, industry-linked projects, internships, mentorship, and publication opportunities in SCIE/SSCI/Scopus-indexed journals. Funding is described as a fellowship of up to ₹37,000/month for eligible full-time PhD scholars, with additional mention of ₹31,000/month for full-time scholars in the brochure.

Eligibility highlights include a strong background in at least two of applied mathematics, operations research, machine learning, or statistics; interest in coding (Python/Julia/Mathematica/MATLAB); and a B.Sc./M.Sc. in Mathematics, Statistics, or Computer Science. The brochure also notes a master’s degree in Mathematics/Applied Mathematics/Statistics or related fields with at least 55% marks or equivalent CGPA, with UGC-NET/CSIR-NET/GATE/JRF/SET preferred. Candidates without NET/GATE may still be considered through the university entrance test and interview.

Deadline: 30 April 2026. Entrance test and interview: 16 May 2026. Apply via the online portal or send your CV to the contact email provided.