EligibilityDeadline Date: Closed
To be eligible for these post-doctoral fellowships, the applicants must-
- Have completed their PhD within the last 2 years
- Demonstrate academic excellence
Benefits
The fellowship recipients will receive the following benefits-
- Monthly emoluments of INR 45,000 (plus HRA)
- Opportunity to working in a highly interdisciplinary environment, with eminent faculty in Systems Biology and Data Science
- Access to state-of-the-art high-performance CPU/GPU computing infrastructure
- Funds to attend a national conference every year
- Regular colloquia by international experts and workshops
Documents
The applications should be sent along with the following documents-
- Latest CV describing the candidate's academic record with publications list, list of programming languages known, level of proficiency and certification if any (attach a single PDF or link to Dropbox/Google Drive/OneDrive)
- A research proposal (500-750 words) listing preferred research areas
- IBSE Faculty Mentors the candidate is interested in
How can you apply?
Follow the below steps to apply-
Step 1: Visit the notification page and read instructions before applying.
Step 2: Send the applications through mail to ibse.projects@gmail.com along with the required documents.
Selection Criteria
After the submission of the applications, the candidates will be shortlisted based on the following criteria-
- Academic pedigree, performance
- PhD research area and list of publications, if any
- Proficiency in programming (high-level languages, preferably Python/R/MATLAB)
- Contribution to open-source projects will be a plus
Note: The shortlisted candidates will be interviewed the following month.
Terms and Conditions
Areas of Research
- Application of systems genetics approaches in India specific clinical datasets
- Network and community detection in multi-omic data
- Metabolic modelling for diseases
- Application of Machine Learning algorithms in clinical data
- Process analytics and systems theory for metabolic modelling and optimisation
- Application of NLP in biological data analysis
Important Links
Apply online link
Others
Original website