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Piyush Agrawal

5 months ago

Project Associate-I in AI, Bioinformatics, and Medicinal Plant Drug Repurposing at SRM Institute of Science and Technology SRM Institute of Science and Technology in India

Degree Level

not provided

Field of study

Computer Science

Funding

Project Associate-I position under an ANRF-PMECRG funded project. Fellowship is ₹37,000 + HRA per month for candidates qualified through CSIR-UGC NET/GATE or equivalent national-level examination, and ₹30,000 + HRA per month for other eligible candidates. Duration is initially 2 years, extendable up to 3 years based on satisfactory performance and project requirements.

Deadline

Expired

Country flag

Country

India

University

SRM Institute of Science and Technology

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Keywords

Computer Science
Data Science
Machine Learning
Biomedical Engineering
Biology
Artificial Intelligence
Computational Biology
Herbal Medicine
Medical Science
Pharmacy
Omics
Statistics
Bioinformatic

About this position

SRM Institute of Science and Technology (SRMIST), Chennai, India is inviting applications for a Project Associate-I position under an ANRF-PMECRG funded project titled AI-HerboScreen: Development of Novel Artificial Intelligence Framework for Therapeutic Repurposing and Validation of Indian Medicinal Plant Bioactives Targeting the TGF-β/INHBA Axis in Oral Submucous Fibrosis.

This is an interdisciplinary opportunity at the intersection of Artificial Intelligence, Machine Learning, Bioinformatics, Multi-omics, Computational Biology, Drug Discovery, and Oral Cancer/Fibrosis research. The selected candidate will work on AI-driven therapeutic repurposing, medicinal plant bioactive screening, target prioritization, network pharmacology, molecular docking, and translational bioinformatics studies.

Eligible backgrounds include Bioinformatics, Computational Biology, Biotechnology, Artificial Intelligence, Data Science, Computer Science, or related disciplines. The advertisement states that candidates should have an M.Sc./M.Tech. degree with at least 70% marks or equivalent CGPA. Desirable skills include Python/R programming, machine learning/deep learning, omics data analysis, network biology, systems biology, Linux, HPC, scientific writing, and publication experience.

Funding is provided as a project fellowship: ₹37,000 + HRA per month for candidates qualified through CSIR-UGC NET/GATE or equivalent national-level examination, and ₹30,000 + HRA per month for other eligible candidates. The appointment is initially for 2 years, extendable up to 3 years based on performance and project needs.

Applications should be sent as a single PDF including CV, academic certificates and transcripts, research experience details, publications if any, and contact details of two referees. The email should be addressed to Dr. Piyush Agrawal at SRMIST, with the subject line specified in the advertisement. The deadline is 30 June 2026.

There is also a note that the selected candidate may be encouraged to register for the PhD programme at SRMIST, subject to institute rules and eligibility criteria.

Funding details

Project Associate-I position under an ANRF-PMECRG funded project. Fellowship is ₹37,000 + HRA per month for candidates qualified through CSIR-UGC NET/GATE or equivalent national-level examination, and ₹30,000 + HRA per month for other eligible candidates. Duration is initially 2 years, extendable up to 3 years based on satisfactory performance and project requirements.

What's required

Applicants should have an M.Sc. or M.Tech. degree in Bioinformatics, Computational Biology, Biotechnology, Computer Science, Artificial Intelligence, Data Science, or a related discipline. A minimum of 70% marks or equivalent CGPA is required. Desirable qualifications include Python/R programming, AI/ML and deep learning, bioinformatics and omics data analysis, network biology and systems biology, experience with Linux and high-performance computing, scientific writing, and publication experience. The post is open to candidates meeting ANRF and SRMIST norms; age limit is as per norms.

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India

Research Interests

Cell Biology

Artificial Intelligence

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Histone Modification

Computational Cancer Biology