VacancyBook

BITS Pilani Recruitment 2026 - Junior Research Fellow Posts

Posted 01 Oct 2026Updated 01 Oct 2026
Total Vacancies
1
Last Date
30 Oct
12 days left
Apply Mode
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Contract
Status
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Recruitment status
Applications open
Last date 30 Oct 2026 · 12 days left
  1. Notification30 Sept
  2. Applications Opentill 30 Oct

About BITS Pilani Junior Research Fellow Recruitment 2026

Birla Institute of Technology and Science, Pilani, a leading deemed university in Rajasthan, has invited applications for one Junior Research Fellow post. The position is part of a research project sponsored by the Defence Research and Development Organization in the Department of Computer Science and Information Systems, focusing on encrypted traffic classification using deep learning. It is a project-based contractual research role suitable for candidates from computer science and allied disciplines.

Job Overview

Organization
Birla Institute of Technology and Science, Pilani
Post Name
Junior Research Fellow(JRF)
Job Location
Rajasthan
Who Can Apply
Candidates from anywhere in India
Job Type
Contract
Age Limit
Up to 28 years
Gender
All
Nationality
Indian
Pay Scale
Rs. 37,000 per month as JRF for NET/GATE qualified candidates
Tenure
1.5 years (project tenure)

Vacancy Breakdown

Junior Research Fellow(JRF)
1

Eligibility Details

Junior Research Fellow

First class B.E./B.Tech. or M.E./M.Tech. in Computer Science and Engineering and related branches, Data Science, Artificial Intelligence, Cyber Security, or allied disciplines from a recognized University/Institute. Candidates with GATE/NET qualification will be preferred.

Age Limit

Maximum 28 years as on the date of the interview

Age Relaxation

5 years for SC/ST/PwD candidates, 3 years for OBC candidates. OBC candidates belonging to the creamy layer are not eligible for age relaxation.

Selection Process

  1. 1
    Shortlisting

    Candidates will be shortlisted based on their merit, experience and the requirements of the project.

  2. 2
    Online Interview

    Shortlisted candidates will be informed of the interview, which will be conducted through online mode; only qualified and suitable candidates will be called.

Salary Structure

Rs. 37,000 per month as JRF for NET/GATE qualified candidates

How to Apply

  1. 1Email the application to [email protected] with the subject line 'Application for JRF -DRDO Project'.
  2. 2Prepare a CV mentioning past education, technical skills, research experience and publications.
  3. 3Write a cover letter and include contact details of at least two academic referees.
  4. 4Attach self-attested copies of educational certificates, experience certificates, ID proof and a recent passport-size photograph.
  5. 5Send the complete application before the last date of 30 October 2026 and keep a copy of the sent email.

Documents to Carry / Upload

•CV mentioning past education
•Technical skills
•Research experience and publications
•Cover letter
•Contact details of at least two academic referees
•Self-attested copies of educational certificates
•Experience certificates
•ID proof
•Recent passport-size photograph

Important Details

  • The position is purely on contractual basis on a DRDO-sponsored project.
  • OBC candidates belonging to the creamy layer are not eligible for age relaxation.
  • Selected candidates may be permitted to register for the PhD program of BITS Pilani, subject to fulfilling the requirements of the PhD qualification process as per institute norms.

Project Details

Funding agency: Defence Research and Development Organization (DRDO). Project title: Synergistic approach to Encrypted Traffic Classification leveraging FlowPic, Data Augmentation and Contrastive Learning. Principal Investigator: Prof. Ashutosh Bhatia, Department of CSIS, BITS Pilani Pilani Campus. Project tenure: 1.5 years.

Job Description

  • Work on encrypted traffic classification using FlowPic-style visual representations, data augmentation, contrastive learning and deep learning.
  • Assist in dataset collection, PCAP preprocessing and generation of time-series/FlowPic representations.
  • Implement CNN, SimCLR/contrastive-learning, CNN-LSTM-Attention and hybrid classification models.
  • Perform model evaluation, benchmarking and comparison with existing traffic classification methods.
  • Support explainability-related experiments using visual traffic representations.

Contact

Frequently Asked Questions

What subject line should be used in the application email?

The email must carry the subject line 'Application for JRF -DRDO Project'.

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