Ph.D. in Computational and Integrative Sciences

The School encourages intake from multiple disciplines into its Ph. D. programme, which are grouped with independently specified intake requirements as-

- (a) Physical Sciences (Track 1)
- (b) Biological Sciences (Track 2) and
- (c) Mathematical and Computer Sciences (Track 3),
to provide an optimal peer-group of analytical, domain and computational skills within each program. The School offers advanced courses for the Ph.D. students to complete the credit requirements as per the UGC/University guidelines.

The research programs are supported by good computational and communication infrastructure. Each student is provided with a desktop/workstation, and the School manages a centralized facility for high-performance computers, consisting of computer clusters with multiprocessor nodes, large-memory nodes and GPUs to facilitate specialized research. The school takes pride in being among the country’s best institutions in imparting high-value employability-related skills to its students such as in genomics data analytics, multiscale molecular simulations, data science and financial modelling and simulation.

Areas of Research 
Some of the frontier areas of research conducted at the school are:
  • Computational Genomics and Next Generation Sequencing.
  • Applied data analytics and machine learning.
  • Plant Biology: Genomics, Epigenomics and Genome Editing Single Cell Genomics,
  • Multi-omics and Systems Biology.
  • Cheminformatics and Drug Discovery.
  • Genome-wide Application of Information Theory and Pattern Recognition Methods.
  • DNA-Protein Interactions.
  • Nucleosome Dynamics.
  • Genome Organisation and Function Biomechanics.
  • Mathematical Modeling of the biological systems.
  • Stochastic and Nonlinear Dynamics Applied to Biological Systems.
  • Monte Carlo Simulation Techniques to Explore the Energy Landscape of Water Clusters and Biomolecules Structure.
  • Function, dynamics of calcium-binding proteins.
  • Development of a Bacterial Cell Model: diffusion and hydrodynamics.
  • Effect of Molecular Crowding on Biomolecular Systems.
  • Mathematical biology.
  • Graph Theory and Petri-Nets optimization techniques.
  • Application of Network Theory in Social and Financial Systems.
  • Econophysics and Sociophysics- Application of Physics to Model Socio-Economic Systems.
  • Wireless communication and Applications in Biology, including wearable/implantable devices as antennas/sensors.
  • High Performance Computing and Cyber infrastructure.
  • Biomolecular Interactions, nano- and bio-sensor for clinical, food and environment applications.
The admission to Ph.D. program is through entrance examination followed by viva-voce/interview as per university guidelines. In addition, students who have cleared the National Eligibility Test & hold a Junior Research Fellowship (JRF) may be invited directly for the viva-voce/interview for admission to Ph.D. program as per university guidelines.

Admission in the Ph.D. programme at SCIS would be under three tracks:-

Track 1: Physical Sciences: Physics, Chemistry and related disciplines.
Track 2: Biological Sciences: Life Sciences, Biotechnology and related disciplines with an aptitude in informatics; Bioinformatics and Computational Biology.
Track 3: Mathematical and Computer Sciences: Mathematics/Statistics, Computer Sciences including Information Technology with emphasis on data analytics.

The use of the word “Track” in this document is solely for the purpose of grouping disciplines for the purpose of Entrance examination and admission to various programs. 
Note: Candidates applying for Ph.D. programme are allowed to exercise only one track for each programme.

Please visit the JNU web site http://jnu.ac.in  and JNU Admissions https://jnuee.jnu.ac.in for updates & more information.
Admissions

Sub. Code & Sub. Code Number

Eligibility

Computational Biology and Bioinformatics - Track 1 – TROH (903)

M.Sc in Physics/ Chemistry/ Mathematics/ Computer Science/ Statistics/ Operations research/ Life Sciences/Biotechnology/ Bioinformatics/ engineering and related disciplines with minimum of 55% marks in the qualifying degree or its equivalent grade in a point scale wherever grading system is followed.

OR

A candidate seeking admission after a 4-year/8-semester bachelor’s degree  programme in Physics/ Chemistry/ Mathematics/ Computer Science/ Statistics/ Operations research/ Life Sciences/Biotechnology/ Bioinformatics/ engineering and related disciplines should have a minimum of 75% marks in aggregate or its equivalent  grade on a point scale wherever the grading system  is followed.

 

Relaxation to SC/ST/OBC (Non creamy layer)/PWD as per the UGC Regulations 2022

Computational Biology and Bioinformatics - Track 2 – TRTH (909)

Computational Biology and Bioinformatics - Track 3 – TRDH (910)
Eligibility Criteria