BHL Guide: Who Should Apply & How
Who is this job for?
This is the PhD admission January 2027 round of the Department of Biotechnology at IIT Hyderabad. It suits Master's or BTech graduates in the life, medical or engineering sciences who want a doctorate in either wet-lab biology (DNA repair, chromatin, cancer genomics, inflammation) or computational biology (genomics, multi-omics machine learning, molecular dynamics).
Eligibility at a glance
- MTech, or MSc/BTech/BE/MBBS with GATE/NET, for the Institute (MoE) fellowship
- Or a valid CSIR/UGC/ICMR/DBT JRF or equivalent national fellowship tenable at IITH
- Minimum 6 CGPA (60%, first class) for general category in the Master's route; relaxed cut-offs for OBC and SC/ST
- Special PhD track (Rs. 80,000 per month) for 9 CGPA graduates of IITs, IISc, IISERs or MBBS from AIIMS
How to apply
- Apply online through the official IIT Hyderabad PhD admissions portal
- Pick the research area and faculty that match your background from the department brochure
- Last date: 10 November 2026, 5:00 PM IST (written in the listing)
Tips for applicants from India
- Shortlisting cut-offs are usually higher than the minimum, so list your GATE/NET score and any research project clearly
- Interview dates cannot be changed, so keep your calendar free after shortlisting
Related on Jobs Bio Help Learning
Written by the Bio Help Learning team from the official listing. Always check the official page before applying.
Job Description
Applications are invited from suitably qualified & motivated candidates for admission to the Ph.D. program in the Department of Biotechnology, IITH, in the following research areas (January 2027 round).
The Department of Biotechnology, established in 2010, offers research programs in the frontier areas of biotechnology encompassing both applied and basic research spanning various experimental and computational frontiers. The mission of the Ph.D. program is to develop a new generation of scientific leaders with scientific vigor, critical thinking, ethics, and multitasking managerial skills to thrive in the fast-paced technology-driven industry and academia.
Experimental Labs
• Prof. Anindya Roy – Molecular characterization of DNA alkylation damage repair enzymes; role of DNA alkylation in cancer, autoimmune and inflammatory diseases.
• Prof. Rajakumara Eerappa – Characterization of cancer drug targets, epigenetics and DNA repair, drug/inhibitor design, X-ray crystallography, biophysics and biochemistry, computational biology, liquid-liquid phase separation, and enzyme engineering/design.
• Dr. Sandipan Ray – Circadian rhythm, neurobiology of aging, cancers, mental health, chronomedicine-novel therapeutics, integrated multi-omics, mass spectrometry.
• Dr. Gunjan Mehta – Chromosome dynamics and gene regulation, epigenetic regulators, chromatin remodeling, genetic disorders, cancers, infertility, single-molecule biophysics, advanced fluorescence microscopy.
• Dr. Ashish Misra – Cancer genomics and biomarker discovery, 3D cancer model development, drug resistance and repurposing, long noncoding RNAs, alternative splicing and RNA metabolism in cancer, protein engineering.
• Dr. N.K. Raghavendra – Protein Interaction Analysis lab: human-virus protein-protein interaction.
• Prof. Thenmalarchelvi Rathinavelan – Exploring the molecular mechanisms of human diseases using experimental, computational and machine learning approaches: antimicrobial resistance, neurodegenerative disorders, intrinsically disordered proteins in cancer, and small-molecule ligand screening.
• Dr. Savita Devi – Unraveling the role of inflammasome in modulating the acute and chronic inflammation; molecular mechanisms of inflammation and their contribution to inflammatory diseases.
• Dr. Althuri Avanthi – Biomaterials, biochemicals, waste valorization and circular economy.
Computational Labs
• Prof. Thenmalarchelvi Rathinavelan – Computational microbial 'omics'; biomolecular interaction prediction using machine learning.
• Dr. Rahul Kumar – Computational genomics and transcriptomics, AI/ML and deep-learning for precision medicine, radiogenomics, predictive biomarkers in cancer, neurodegenerative disorders, epigenomics, pharmacogenomics, medical image analysis, development of computational tools/applications.
• Dr. Abhishek Subramanian – Computational biology, bioinformatics, transcriptomics / proteomics / metabolomics data-driven & machine-learning models, biological networks, metabolism, parasitology & immunology.
• Dr. Gaurav Sharma – Microbial genomics, evolutionary biology, microbial diversity, plant genomics, plant metagenomics, microbiome, plant-microbe interactions, computational biology, prediction webservers.
• Dr. Ashish Misra – AI/ML analysis of multi-omics datasets of Indian cancer patients.
• Prof. Rajakumara Eerappa – Characterization of cancer drug targets, epigenetics and DNA repair, drug/inhibitor design, X-ray crystallography, biophysics and biochemistry, computational biology, liquid-liquid phase separation, and enzyme engineering/design.
• Dr. Himanshu Joshi – Molecular dynamics, membrane biophysics, computational virology, nucleic-acid dynamics, protein-DNA interactions, GPCRs, membrane proteins, actin dynamics.
Selection Procedure
• Candidates will be shortlisted according to the criteria set by a shortlisting committee and called for an interview subsequently.
• Selection to the Ph.D. program will be based on the performance in the interview(s).
• Request to change the interview date/time will not be entertained.
Qualifications
- Category of Admission & Minimum Eligibility Criteria
- 1. Full-time Institute Fellowship (funded by MoE): Any candidates with MTech can apply. Any candidates with an MSc/BTech/BE/MBBS (with GATE/NET) can also apply. CGPA: (i) MTech/MSc – GN: 6 CGPA (60%, First-class); OBC: 90% of GN cut-off; SC/ST: 85% of GN cut-off. (ii) Any 4-year UG degree from CFIs (GATE is not mandatory) / non-CFIs: 8 CGPA.
- 2. Fellowship from external funding agency: MTech/MSc/BTech/BE candidates with a valid CSIR-NET-JRF/UGC-NET-JRF/ICMR-JRF/DBT-JRF (Category-I) award or any other equivalent national-level qualification for research fellowship tenable at IITH (e.g., DST-INSPIRE fellowship). CGPA: MTech/MSc (any 2-year Master's degree) / any 4-year UG degree – GN: 6 CGPA (60%, First-class); OBC: 90% of GN cut-off; SC/ST: 85% of GN cut-off.
- 3. Special PhD (High CGPA) [Special Fellowship of Rs. 80,000/pm for 4 years]: BE/BTech/BS from IITs/IISc/IISERs/MBBS from AIIMS – 9 CGPA.
- For any applicants, the degree should be in Life Sciences/Biotechnology/Medical/Biomedical/Physical/Chemical/Engineering Sciences or closely related fields.
- Note: Prospective applicants must ensure they meet all eligibility criteria before applying. Shortlisting criteria are usually higher than the eligibility criteria. The department reserves the right to set any cut-off criteria for shortlisting the candidates.
Additional Information
| Company | Indian Institute of Technology Hyderabad (IITH) |
|---|---|
| Location | Hyderabad |
| Job Type | Full-time PhD programme |
| Experience Level | PhD / Doctoral |
| Application Deadline | 2026-11-10 |
| Posted Date | 2026-10-31 |
| Company Website | https://iith.ac.in/ ↗ |
| Source | Official Career Page ↗ |
| Programme | PhD (Regular) – January 2027 admissions |
| Department | Biotechnology (BT) |
| Application mode | Online through the IITH PhD admissions portal |
| Selection | Shortlisting followed by interview(s) |
| Department contact | [email protected] |
| Last date | 10 November 2026, 5:00 PM IST |
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