IIT Mandi Postdoctoral Fellow Recruitment 2026

About This Job

IIT Mandi iHub is hiring a Postdoctoral Fellow at the IIT Mandi Campus. If you have a PhD in Computational Biology, Bioinformatics, Genetics, Systems Biology, Chemistry, Computer Science or a closely related field, you can apply online through the official Typeform link. The fellowship is for 1 year, with possible extension up to 2 years based on performance. Salary is Rs. 70,000 to Rs. 80,000 per month plus a Rs. 15,000 per month contingency grant.

Indian Institute of Technology Mandi Postdoctoral Fellow Recruitment 2026

Indian Institute of Technology Mandi (IIT Mandi), through IIT Mandi iHub and HCi Foundation, has advertised a Postdoctoral Fellowship in computational biology, genomics and AI-driven drug discovery. The iHub is a Section 8 company under the National Mission on Interdisciplinary Cyber-Physical Systems. This is a research-heavy role for PhD candidates who can build AI and machine learning methods for genomics, proteomics, chemical datasets and therapeutic discovery.

The selected fellow will help turn computational insights into biological and therapeutic outcomes. The PDF specifically mentions drug-target interaction prediction, genomic variant interpretation, biomarker discovery and pathway analysis, so your research record should connect clearly with data-driven biology, interdisciplinary research teams and publications.

Who Can Apply?

Educational Qualification

• Qualification: You need a PhD in Computational Biology, Bioinformatics, Genetics, Systems Biology, Chemistry, Computer Science or a closely related field.
• Research Record: You should have peer-reviewed publications in genomics, drug discovery or computational biology.
• Programming: Strong skills in Python, R or C++ are expected.
• Workplace: The workplace is IIT Mandi iHub and HCi Foundation at IIT Mandi Campus.

Preferred Background

• AI and ML: Strong background in machine learning or deep learning frameworks such as PyTorch, TensorFlow and scikit-learn.
• Biological Data: Experience with genomic, transcriptomic, proteomic or chemical datasets is preferred.
• Computing: Experience with high-performance computing or GPU-based training will help.
• Team Work: The role needs close work with biologists, chemists, pharmacologists and data scientists.

Research Area

The fellowship covers computational biology, genomics and AI-driven drug discovery. You may work on genomic sequences, transcriptomics, proteomics, chemical libraries, drug-target prediction, biomarker discovery and pathway analysis. If your PhD work includes any of these areas, highlight it with specific publications or projects.

The role also needs collaboration with experimental biologists, chemists, pharmacologists and data scientists. IIT Mandi iHub is looking for a researcher who can connect models with biological relevance. Mention any work with experimental or clinical workflows, biological validation, chemical datasets, GPU training or high-performance computing in your application.

You may also contribute to grant proposals, technical reports, mentoring and conference presentations, because the PDF lists these as part of the role. This makes the fellowship suitable for researchers who want a mix of model development, interdisciplinary collaboration and academic output.

Salary

• Fellowship: Rs. 70,000 to Rs. 80,000 per month based on experience.
• Contingency Grant: Rs. 15,000 per month.
• The notification does not mention a separate pay level, grade pay, DA or HRA structure.

Application Fee

• Application fee: The official notification does not mention any application fee.

Fellowship Duration

• Initial Duration: The fellowship will be awarded for 1 year.
• Extension: It may be extended based on performance, up to a maximum of 2 years.
• Review: An internal review committee will evaluate the fellow at regular intervals.

Selection Process

IIT Mandi iHub will contact only shortlisted candidates through email or phone. The notification says interviews may be held in online or offline mode, and there may be multiple interview rounds.

1. Application Screening: Your PhD area, publications, programming skills and research fit will be reviewed.
2. Interview Rounds: Shortlisted candidates may attend one or more online/offline interviews.
3. Document Verification: Educational and professional qualification documents must be produced when specified.
4. Final Selection: The selection committee's decision on interview logistics and selection will be final.

How to Apply

1. Open the official Postdoctoral Fellowship application form at form.typeform.com.
2. Fill in your personal, PhD, publication, programming and research experience details.
3. Add details of biological datasets, AI/ML models and computational work where the form asks for them.
4. Upload or provide documents and links as required in the form.
5. Submit the online form as early as possible because applications will be considered until the post is filled.
6. Email hr@ihubiitmandi.in only for questions, not as the main application route.

Documents to Keep Ready

• Updated academic CV with PhD, publications and research experience.
• PhD degree or proof of completion in the eligible field.
• Publication list in genomics, drug discovery, computational biology or related areas.
• Programming and project proof for Python, R, C++, ML, deep learning or HPC work.
• Experience details for biological datasets, experimental or clinical workflows, if available.

Important Dates

• Application Status: Applications will be considered till the post is filled.
• Last Date: No fixed closing date is mentioned in the official PDF.
• Interview Date: To be informed to shortlisted candidates by email or phone.

• Develop AI and machine learning models for drug-target prediction and genomic analysis
• Work with genomic, transcriptomic, proteomic and chemical datasets
• Design computational pipelines for drug discovery and functional genomics studies
• Collaborate with biologists, chemists and data scientists to validate model predictions
• Publish research findings in journals and present work at conferences
• Prepare grant proposals, technical reports and project documentation
• Mentor graduate students and support ongoing research projects