Fellowship: AED 4000 per month (for a period of four years)
Place of work: BITS Pilani, Dubai Campus
Additional Benefits: Subsidized hostel accommodation, Student visa support, medical insurance, Airfare (*at the time of joining and return journey after completion) as per institute policy, Annual contingency grant, and performance-based increase in fellowship after two years.

Essential Qualifications: MTech. /M.E./M.Sc. or any other equivalent degree in Bioinformatics, Biotechnology, Life Sciences, Genetics or related fields, with 60% or equivalent aggregate. Applicants with a master’s degree in computer science AND relevant experience in bioinformatics/computational biology are encouraged to apply as well.

Desirable Qualifications: Prior experience in workflows related to OMICs data analysis, computational drug design / cheminformatics, molecular dynamics simulations as demonstrated through research publications and/or projects; candidates with expertise in programming (python/Perl/R/shell) will be preferred.

Application process: Please apply with a detailed CV (including a list of publications) and a cover letter (The cover letter should be a maximum of two pages detailing your motivation to do a PhD, specifically in the above-mentioned research area, your research experience and relevant skills, if any, and any novel ideas you may have to address the research problem listed above.). A letter of recommendation in support of your application directly emailed by a supervisor or mentor who can attest to these claims, although not compulsory, will be welcome.
● Applications can be emailed to aditya@dubai.bits-pilani.ac.in (Letter of recommendation, if any, should be directly emailed to this ID by the supervisor).
● Deadline: 19th July, 2026 (11:59 pm).
● Kindly note that cover letters generated through ChatGPT or any other AI/LLMs will be summarily rejected – we are looking for authenticity and true intent, not perfection.
Shortlisted candidates will be informed through e-mail for interview which can be in-person or online, depending on the candidate’s availability.