Doctor of Philosophy Programme (DBS)

PhD Advertisement for Autumn 2021 semester (DBS)

Along with dedicated high-quality teaching, the faculties of the Department of Biological Sciences are actively engaged in working on a variety of research problems ranging from basic sciences to applied sciences using cutting edge technologies employing multidisciplinary approaches. For carrying out the various challenging research work, our PhD scholars are the main work forces. Located amid lush greenery and quiet environment, here, our students pursue their research carrier with loads of enthusiasm, perseverance and hard work under the caring guidance of the highly skilled and acclaimed faculties and eventually establish themselves in their professional field.

If you would like to enroll yourself into our vibrant PhD programme at DBS and also at some other departments with interest in the interdisciplinary biological fields, please see the details below and act accordingly.

Applications are invited from motivated candidates having master's degree such as M.Sc/MS/ME/M.Tech/MVSc/MSc(Ag) degree or equivalent (with minimum 55% marks) in:

  1.   Any branch of biological sciences to pursue research in the broad fields of Cellular and Molecular biology, Cancer biology, Developmental biology, Structural biology, Chemical biology, Plant biology, Plant molecular and developmental biology, Plant genetics, Plant tissue culture, Molecular Microbiology and Plant virus, Behavioral biology, Ecology, Evolutionary biology, Genetics, Marine biology, Neurobiology, Biodiversity, Microbiology, Biophysics, Bioinformatics, Biotechnology, Biochemistry, Food technology, Physiology, Human Physiology, Medical Biotechnology and theoretical biology, Epigenetics and Chromatin Biology. Candidates from agricultural science (such as genetics and plant breeding) and nutritional science backgrounds are also encouraged to apply.
  2. OR

  3.   Chemistry / physics / statistics / mathematics / computer application / computer science to pursue research in the interdisciplinary research areas as specified in the table below:

Interdisciplinary Research Area

Preferred background of the student from other areas

Gene regulatory networks using plant signaling and genomics

Bioinformatics, Biostatistics, Statistics, Computer Application, Computer Science, Mathematics, Physics, Analytical Chemistry

Structural biology, cryo-Electron Microscopy, Image processing, biophysics, molecular modelling, molecular dynamics simulations, biomolecular NMR, Structural and Clinical proteomics of fluids and tissues in human diseases, Mass spectrometric Imaging of cancerous tissue, Microbiome & Cancer

Biophysics/Biochemistry/Biotechnology/Physics/Chemistry/ Computer Science

Peptide based therapeutics, cancer nanomedicine, drug delivery, biomimetic chemistry, chemical biology, supramolecular chemistry, applied biomaterials, cancer biology, and regenerative nanomedicine

(i) MSc Chemistry having specialization in Organic/ Physical/Inorganic chemistry or MSc Chemistry with MSc project in the area of organic chemistry/peptide chemistry/small molecule synthesis/bioconjugation chemistry
(ii) MSc Chemistry having specialization in Physical Chemistry or MSc Chemistry with MSc project in the area of computational chemistry and interested to work in the area of computational biology
(iii) BSc in Chemistry Hons /Physics Hons and MSc in Biophysics and interested to work in the area of computational biology
(iv) MSc in Pharmaceutical Sciences or MPharm
(v) MTech in Chemical Engineering

Neurobiology

Neuro-immunology, Neural stem cell neology, Neuro-Virology, Neuropathology, Neuro-Computational Modelling, Neuro-Structural Biology, Neuro-oncology

Mechano-biology employing fluorescence imaging, interference reflection microscopy, PDMS based cell stretching, micro patterning, optical trapping, traction force microscopy, image/data Analysis Physics/Biophysics/Chemistry/Biochemistry/Chemical Engineering/Mechanical Engineering/Computer Science
Computational Biology A Master's degree, with minimum 55% marks or CGPA/CPI of 6.5 on a 10-point scale, in any field of Applied Mathematics, Applied Statistics, Bio-technology, Computer Science, Physics, Chemistry, Biophysics, Biochemistry, Electrical Engineering, Mathematics and Statistics
Epigenetics, chromatin biology, unnatural amino acid biology, proteomics, homology modeling, molecular docking, molecular dynamics simulations Biochemistry/Biotechnology/Biophysical chemistry
Theoretical and Computational Biophysics (Modeling of cell motion, biological random processes, intracellular transport etc.) Master's degree in physics/Chemistry/Applied mathematics/Applied statistics/Computer science/ Bio-technology/ Biophysics/ Biochemistry/any engineering field with 55% marks or CGPA/CPI of 6.00/10. Experience of programming in C/C++/FORTRAN/Matlab/Python will be a plus point.
Chemical Ecology Chemistry/Analytical Chemistry/Organic chemistry/Botany/Agricultural Sciences with focus on plant physiology or Entomology/Zoology

 

Applicants must have any one of the following qualifications:

  • Qualified a National Eligibility exam that provides a 5-year PhD fellowship such as CSIR-JRF / UGC-JRF / DBT-JRF-A / ICMR-JRF / DBT-BINC-JRF / Rajiv Gandhi National Fellowship.
  • INSPIRE-PhD fellowship (should be in possession of provisional selection letter at the time of Interview).

Institute Funded student positions: There are a few Institute funded PhD positions available in selected research fields, that are given below:-
General minimum qualifications for these positions: M.Sc/MS/ME/M.Tech/MVSc/MSc (Ag) degree or equivalent (with minimum 55% marks); qualification one of the National eligibility exams - CSIR-UGC/ NET LS/ GATE/JAM/JGEEBILS/ICMR-JRF/ etc.
1) Research Area: Molecular Microbiology to investigate intra- and inter-specific interactions in bacteria involved in biofilm formations and implications of such interactions in bioremediation and therapeutics. Additional criteria: Academic background and experience in the area of Microbiology/Biochemistry/Molecular Biology and strong communication skills are desirable.
2) Research Area: Broad area of research: Epigenetics and its role in Transcriptional control, cell fate and cancer. Additional criteria: Preferred background should be in the area of Biochemistry/Molecular Biology/Epigenetics and strong communication skills are desirable
3) Research Area: Our lab works on the role of protein dynamics in the regulation of cellular signaling particularly in immune cells. Additional criteria: Strong background in Biochemistry, Biophysics, or Physical Chemistry is preferred. Prior hands-on experience in molecular biology technique, protein purification, and cell biology is desirable.
4) Research Area: Nitrogen cycling in coastal ocean and implications for ocean health; Marine biodiversity and ecosystem functioning; Antimicrobial cues from coastal ecosystems. Additional criteria: Academic background in any branch of Life Science/Environmental Science/Biotechnology. Proven experience working on coastal ecosystems including rigorous field work exposure and ability to work as part of a team.


Additionally, there are a few project funded positions also available in the following specific fields:

Project funded PhD student(s)
1. A project funded PhD position is available in Integrative Taxonomy and Microbial Ecology Research Group (PI- Professor Punyasloke Bhadury) on ecology and health of coastal ecosystems.
Essential Qualification: Master's including Integrated MS in Biological Sciences/Environmental Sciences with minimum 55% marks. Candidates need to have qualified one of the National eligibility exams - CSIR-UGC/ NET LS/ GATE/JAM/JGEEBILS/ICMR-JRF/ etc. Previous proven background in undertaking extensive field work in coastal ecosystems, proven background in water chemistry and ecology-based measurements are needed. Candidates should clearly mention their area of interest in their SOP in line with the theme of ecology and health of coastal ecosystems. Highly motivated candidates who have a proven track record to develop and design field-based measurement approaches will be preferred.

* Please note that fulfilling the minimum essential criteria does not ensure that a candidate will be called for the interview. Additional short-listing criteria might be set by the department based on academic records, experience and research interest of the candidates.

For more information on specific faculty research profiles, visit :Click Here