Indian Institute of Technology Hyderabad
Ph.D. Admissions January 2024
Research Areas
Research Area Faculty
Human-Virus protein-protein interaction. Dr. N.K. Raghavendra
Molecular mechanisms of diseases. Dr. Thenmalarchelvi
Rathinavelan
Protein phase separation and misfolding in Neurodegeneration and Cancer;
Intrinsically disordered proteins; Role of chaperones and Oxidative stress in
proteinopathies; Drug-discovery for neurodegenerative diseases.
Dr. Basant K. Patel
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. Ashish Misra
Characterization of cancer drug targets, Epigenetics, and DNA repair,
Drug/inhibitor design, Vaccine design, X-ray crystallography, Biophysics and
biochemistry, Computational biology, phase separation and hydrogel design.
Dr. Rajakumara Eerappa
Circadian rhythm, cancer, mechanism of drug action, clinical proteomics, mass
spectrometry.
Dr. Sandipan Ray
Chromosome dynamics and genetic disorders, single-molecule imaging, chromatin
remodeling, cancer therapy target aurora kinase B, cell division, gene
regulation, advanced fluorescence microscopy.
Dr. Gunjan Mehta
Computational genomics and transcriptomics, artificial intelligence to devise
precision medicine, predictive biomarkers in cancer, epigenomics, genome wide
drugs and CRISPR/sh-RNA screens.
Dr. Rahul Kumar
Biomolecular modeling and simulations, DNA Nanotechnology, Nanoparticles
interaction with biological matter, Lipid-DNA interaction, Computational
biophysics, Computational Virology.
Dr. Himanshu Joshi
Biofuels, Biochemicals, Biomaterials, Nanobiotechnology, Bioprocess technology,
Downstream processing, Hydrothermal Liquefaction, Waste valorization and
Circular economy.
Dr. Althuri Avanthi
Microbial genomics, Evolutionary biology, Microbial diversity, Plant Genomics,
Plant metagenomics, Microbiome, Plant-microbe interactions, Computational
biology, prediction webservers.
Dr. Gaurav Sharma
Systems biology, Biological networks, Machine learning, Metabolism and
Transcriptional regulation, Parasitic microeukaryotes, Immunometabolism.
Dr. Abhishek Subramanian
Molecular characterization of DNA alkylation damage repair enzymes, Role of
DNA alkylation in cancer, autoimmune and inflammatory diseases. Dr. Anindya Roy
RNA structure and translational regulation, Role of RNA binding proteins in
neurological diseases, Drosophila models of human diseases. Dr. Indranil Malik
Minimum Eligibility Criteria
Eligibility
• MTech in any area of Life Sciences/Biotechnology/Physical Sciences
• MSc degree in any allied area of Life Sciences/Biotechnology, Physical
or Chemical Sciences and possessing a valid National level JRF
qualification (or) qualified GATE (need not be valid).
• BTech/BE in any allied area of Life Sciences/Biotechnology/Physical
Sciences (or) MBBS and qualified GATE (need not be valid) or with a
valid National level JRF qualification.
Candidates should also possess:
• General category: at least 63% marks in the highest qualifying degree
• OBC category: at least 62% marks in the highest qualifying degree
• SC/ST category: at least 60% marks in the highest qualifying degree
• For those who have not yet completed their qualifying examination, the
marks obtained up to the 3
rd semester for M.Sc./M.Tech. and 7
th semester
for B Tech/BE Students will be considered.
Category of admission
I. Full-time Institute Fellowship (funded by MoE): Any candidates with
MTech/MSc/BTech/MBBS degree can apply.
II. Fellowship from external funding agency: Candidates with valid CSIRNET-JRF/UGC-NET-JRF/ICMR-JRF/DBT-JRF/ (Category-I) award or
any other equivalent national level qualification for research fellowship
(e.g., DST-INSPIRE fellowship) can apply under this category.
III. Sponsored project: GATE/CSIR-NET-JRF/UGC-NET-JRF/
ICMR-JRF/DBT-JRF/DST-INSPIRE qualified candidates with
MTech/MSc/BTech/MBBS degree can apply.
Notes:
1) Ensure that you qualify for all eligibility criteria before applying. The
department reserves the right to set any cut-off criteria for shortlisting the
candidates.
Selection Procedure
Note: The department has the right not to select
any candidate if appropriate candidates are not
found.
• Candidates will be shortlisted according to the
criteria set by a shortlisting committee.
• Only shortlisted candidates will be called for an
interview.
• Selection to the Ph.D. program will be based on
the performance in the interview.
• Request to change the interview date/time will
not be entertained.
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