Institute of Bioinformatics and Applied Biotechnology (IBAB), Bengaluru invites applications for research positions leading to a PhD degree under the following research categories: 

  1. Functional genomics of human and mosquito host factors in flavivirus infection using CRISPR-based approaches – M.Sc in Life Sciences with a minimum of six-months working experience in virology/molecular biology techniques and BSL2 cell culture facility is required.  Successful candidates will get training in the latest DNA assembly and gene editing technologies. For informal queries, please reach out to Dr. Sanjay Ghosh (https://www.ibab.ac.in/people/faculty-members/dr-sanjay-ghosh/ )
  2. Ab initio characterization of excitonic site energies, site-site and protein-site couplings in photosynthetic light harvesting complexes using fragment operator methods. The student will be trained in electronic structure methods, vibronic spectroscopy, mixed quantum-classical dynamics, biomolecular structure, weak interactions and fragment based methods- For informal queries, please reach out to Dr. Jayashree Nagesh (https://www.ibab.ac.in/people/faculty-members/dr-jayashree-nagesh/ )
  3. Estimating the free energy contribution of NCIs in secondary structures of proteins. The student will be trained in electronic structure methods, vibronic spectroscopy, mixed quantum-classical dynamics, biomolecular structure, weak interactions and fragment based methods- For informal queries, please reach out to Dr. Jayashree Nagesh (https://www.ibab.ac.in/people/faculty-members/dr-jayashree-nagesh/ )
  4. Developing a Deep Reinforcement Learning Model for Somatic Hypermutation – in Design of Hyper Antibodies. Experience in Machine Learning (Reinforcement Learning) algorithms, Deep Learning, Python/ R programming, Linux scripting is a  must. Knowledge of Bioinformatics tools, such as Gromacs, Pymol and other utilities are desirable. – For informal queries, please reach out to Dr. Nithya Ramakrishnan (https://www.ibab.ac.in/people/faculty-members/dr-nithya-ramakrishnan/ )
  5. Modeling epigenetic inheritance using Information Theory. Experience in Machine Learning, Deep Learning, Python/ R Machine Learning programming, Linux scripting is a must. Knowledge of Information theory is desirable. – For informal queries, please reach out to Dr. Nithya Ramakrishnan (https://www.ibab.ac.in/people/faculty-members/dr-nithya-ramakrishnan/ )
  6. Dissecting the molecular basis of malaria infection and host-parasite interactions using next-generation sequencing and CRISPR/CAS technologies. – For informal queries, please reach out to Dr. Shruthi Vembar – https://www.ibab.ac.in/people/faculty-members/dr-shruthi-vembar/ 
  7. Deep learning models for studying Genomics of Autism Spectrum Disorder. Sound knowledge in Machine/Deep Learning and Python programming is a must. Experience in Genomics data analysis is preferred. – For informal queries, please reach out to Dr. Shyam Rajagopalan (https://www.ibab.ac.in/people/faculty-members/shyam-rajagopalan/ )
  8. Study of Brain – Behaviour relationships using functional Magnetic Resonance Imaging (MRI) and clinical phenotypes towards early biomarker discovery for autism. Sound knowledge in Machine/Deep Learning and Python programming is a must. Experience in fMRI data analysis is preferred. – For informal queries, please reach out to Dr. Shyam Rajagopalan (https://www.ibab.ac.in/people/faculty-members/shyam-rajagopalan/ )
  9. Computational models of child’s behaviours in a semi-structured triadic interaction involving play to diagnose toddlers at risk for autism in a low resource setting employing AI/ML. Sound knowledge in Machine/Deep Learning and Python programming is a must. Experience in Computer Vision is preferred. – For informal queries, please reach out to Dr. Shyam Rajagopalan (https://www.ibab.ac.in/people/faculty-members/shyam-rajagopalan/ )
  10. Developing synthetic biology tools for enhancing the production of nutraceuticals using cyanobacterial systems. Minimum of six-months working experience in molecular biology techniques is preferred. Successful candidates will get hands-on training on more recent cloning methods, and gene editing technologies for engineering cyanobacteria. – For informal queries, please reach out to Dr. Swathi Alagesan (https://www.ibab.ac.in/people/faculty-members/dr-swathi-alagesan/ )

Eligibility:

Master’s degree (M.Sc. or equivalent) in Life Sciences / Chemistry / Physics or M.Tech in Computer Science from a reputed institute with at least 70% of marks or equivalent grade

Candidates having their own fellowship from funding agencies such as CSIR/UGC/DST/DBT/ICMR etc., are preferred. 

IBAB offers a select few fellowships to exceptional candidates as per the institute norms. 

Eligible candidates shall apply with their CV along with a cover letter indicating their choice of research scheme and fellowship details by e-mail to ml@ibab.ac.in on or before 30 Nov, 2023.  Those who have sent their applications recently need not apply again.

About IBAB:

The Institute of Bioinformatics and Applied Biotechnology (IBAB)is a unique institute engaged in education, research and entrepreneur support programs and is based at Electronic City, Bangalore. IBAB’s mission is to catalyze the growth of the biotechnology and bioinformatics industries in India. IBAB offers a distinctive master degree programme with dual specialization in bioinformatics and applied biotechnology and innovative Masters Programme in Big Data (in) Biology besides its interdisciplinary PhD and Post Doctoral programmes. The objective of these programmes is to train the students in emerging areas of Genomics, Algorithms and application of AI and ML for the analysis of biological and clinical data. The institute has strong research programs in various disciplines as evidenced by the publication track record of the faculty. It has an excellent infrastructure and an ambience suited for advanced research in the areas mentioned above. For more details, please visit www.ibab.ac.in