NeGD Recruitment 2026: 1 AI Safety Researcher – Apply Online @ dic.gov.in

Notice information

• Official Notification PDF ↗Source-provided destination — verify before signing in or paying.

Post-Wise Vacancy & Engagement Terms

Eligibility Criteria & Educational Qualification

• Essential Qualification: B.Tech./B.E. or M.Tech./M.S./M.Sc. in Computer Science, Information Security, AI/ML, or a related quantitative discipline.
• Desirable: Advanced degree (M.Tech./M.S./Ph.D.) with thesis or published work in adversarial ML, AI security, LLM safety, or Responsible AI.
• Certifications (Desirable): OSCP, GWAPT, or CEH combined with demonstrable AI/ML security work; DeepLearning.AI or equivalent ML foundations; MLSecOps or LLMsecurity specialist certifications.
• Experience: Non-traditional backgrounds with demonstrable adversarial ML research, published safety work, credible LLM red-team disclosures, or CTF/red-team achievements will be considered in lieu of formal qualification.

Selection Process & Screening Clause

• The selection will be based on an online application screening followed by an interview/technical assessment as decided by NeGD.
• Shortlisting will be based on qualification, experience, and certifications.
• Note: No TA/DA will be paid to candidates appearing for the interview.

Required Documents & Instructions for Candidates

• Original Matriculation (10th) Certificate / Birth Certificate as Proof of Date of Birth
• All Degree and Consolidated Mark Sheets (B.Tech./M.Tech./M.Sc./Ph.D. as applicable)
• Self-attested copies of relevant certificates
• Certificates for Desirable Qualifications (OSCP, GWAPT, CEH, etc., if applicable)
• Two recent passport-size photographs & Valid Photo ID Proof (Aadhaar / Voter ID / PAN)
• Experience Certificates on Official Letterhead (if applicable)

Is there an application fee for NeGD Recruitment 2026?

• No application fee is mentioned in the official notification.

What are the educational qualifications required?

• Candidates need a B.Tech./B.E. or M.Tech./M.S./M.Sc. in Computer Science, Information Security, AI/ML, or a related quantitative discipline. Desirable qualifications include M.Tech./M.S./Ph.D. with work in adversarial ML or LLM safety.