Research and Development Section
Indian Institute of Technology Guwahati
Guwahati-781039, Assam
Applications are invited for an Online interview for the following post in the project titled “Unravelling the Regulatory Mechanism
that Connects Ribosome Biogenesis and Stringent Response with Bacterial Cell Growth” at the department of Biosciences
and Bioengineering, IIT Guwahati.
Date: 08 August 2022 (Monday)
Time: 3:00 PM
Venue: Video Conferencing
How to apply and the selection process: Candidates have to appear in the online interview on August 8, 2022 (Monday). An
advance copy of CV mentioning personal details (Name, DOB, contact information), educational qualifications (starting from high
school upto PhD), research experience (pre- and post-PhD) including publications, accomplishments, experience in experimental
techniques, etc. along with the scanned copy of supporting documents including degree certificates must be sent to
banand@iitg.ac.in latest by July 31, 2022 (5 PM). Shortlisted candidates will be invited through email for the online interview with
interview link. Selection will be done based on the performance of the candidate in the interview and research experience. The
mentioned pay structure is the maximum admissible pay. The actual pay will be fixed in one of the categories (RA I/II/III)
commensurate with the qualification and post-PhD research experience of the candidate.
No TA/DA or accommodation will be provided to candidates for attending the interview. Candidates will not be sent any
call letters separately.
For any clarification, contact
Prof. B. Anand (Principal Investigator)
Email: banand@iitg.ac.in (preferred)
Phone: 0361-2582223
1. PostdoctoralFellow
1
Pay Recommended (Rs.) 54000 8640 1250 63890 6
Essential Qualifications
• PhD or equivalent in life sciences
with very good academic credentials
and research publications.
• Candidate should have sound
experience in cloning, protein
expression & purification and
standard molecular biology
techniques.
Experience in RNA
Biology, X-ray crystallography, CryoEM and high-throughput sequencing
will be preferred.
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