IIT (ISM) Dhanbad Recruitment 2026 : Recruitment for Research Associate-I (RA-I)
INR 58000 + HRA
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IIT (ISM) Dhanbad Recruitment 2026
Recruitment for Research Associate-I (RA-I) under ANRF-ARG Project
The Office of Dean, Research & Development at Indian Institute of Technology (Indian School of Mines), Dhanbad is seeking motivated candidates for a Research Associate-I position. This is a time-bound sponsored project focusing on advanced computational condensed matter physics and GPU acceleration.
Organization Details
Particulars | Details |
Institute Name | IIT (ISM) Dhanbad |
Project No. | SRDP/1293/G |
Sanction No. | ANRF/ARG/2025/009241/PS |
Posting Date | 05 May 2026 |
Sponsoring Agency | ANRF-ARG |
Project Information
Project Title: Strong Correlation, Entanglement and Complexity in Topological and Flat Band Systems: A GPU accelerated approach.
Principal Investigator: Dr. Sudeshna Sen, Department of Physics (sudeshna@iitism.ac.in)
Tenure: Initial tenure is 01 year. Extendable by 6 to 12 months based on performance and PI recommendation.
Position Details
Post Name: ANRF Research Associate-I
Number of Positions: 01 (One)
Job Description: The candidate will engage in theoretical and computational research in condensed matter physics, specifically topology and strong correlations. Responsibilities include developing codes on GPU architecture, using many-body techniques like dynamical mean field theory, and studying entanglement markers in correlated topological systems.
Educational Qualifications
Essential Requirements:
Ph.D. / MD / MS / MDS or equivalent degree.
OR 3 years of research, teaching, and design/development experience after MVSc / M.Pharm / ME / M.Tech with at least one research paper in a Science Citation Indexed (SCI) journal.
How to Apply
Interested candidates should reach out to the Principal Investigator (PI), Dr. Sudeshna Sen, via the official email provided above for application instructions and further details.
Final Note
This role offers a unique opportunity to work at the forefront of computational physics and quantum complexity. It is ideal for researchers with strong coding skills and a deep interest in many-body physics and high-performance computing.
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