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Nithin Nagaraj

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1 week ago

Postdoctoral and Junior Research Fellow positions in Machine Learning Security and Data Poisoning Detection (Postdoc, Masters) National Institute of Advanced Studies in

Degree Level

Master's, Postdoc

Field of study

Computer Science

Funding

The project is funded by the Defence Research & Development Organization (DRDO), Government of India, for 3 years. The Postdoctoral Associate receives a basic fellowship of INR 67,000 per month plus HRA. The Junior Research Fellow receives a basic fellowship of INR 37,000 per month plus HRA. Initial appointment is for 1 year, extendable based on performance and project needs.

Deadline

Mar 10, 2026

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Country

National Institute of Advanced Studies

University

Institute for Advanced Study

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Where to contact

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Keywords

Computer Science
Electrical Engineering
Information Technology
Deep Learning
Mathematics
Artificial Intelligence
Cybersecurity
Python Programming
Physics
Large Language Models

About this position

The National Institute of Advanced Studies (NIAS), located on the Indian Institute of Science campus in Bengaluru, India, is inviting applications for a Postdoctoral Associate (RA-III) and a Junior Research Fellow (JRF) to work on a DRDO-funded project titled "Novel Methods for Detecting Data Poisoning Attacks on Machine Learning Models." The project focuses on developing innovative defense mechanisms to detect and mitigate data poisoning attacks in Artificial Intelligence (AI) and Machine Learning (ML) systems, including large language models (LLMs). These attacks can compromise the reliability, accuracy, and security of AI models, making this research critical for high-stakes applications such as healthcare, finance, and autonomous systems.

The Postdoctoral Associate position requires a Ph.D. in Cybersecurity, Computer Science, or related fields, with at least 3 years of research experience in computer science, particularly in cybersecurity, AI, and Machine Learning. Candidates should have a strong publication record in peer-reviewed international Scopus indexed journals, especially in the security of Machine Learning models. The fellowship for this position is INR 67,000 per month plus HRA.

The Junior Research Fellow position is open to candidates with a graduate or postgraduate degree in professional courses such as B.E/B.Tech/M.E/M.Tech in Computer Science, Computer Engineering, Electronics & Communication Engineering, Electrical & Electronics Engineering, or related disciplines, or M.Sc. in Mathematics, Physics, Computer Science, Electronics, or related fields. Selection through national eligibility tests (CSIR-UGC NET or GATE) is required. Essential skills include proficiency in Python programming and knowledge of basic machine learning and deep learning algorithms/models. The fellowship for this position is INR 37,000 per month plus HRA.

Both positions are initially for one year, with the possibility of extension based on performance and project requirements. The project is funded by the Defence Research & Development Organization (DRDO), Government of India, and offers a stimulating research environment at NIAS, which is known for its multidisciplinary approach and vibrant academic community.

To apply, candidates should submit a single PDF document containing a cover letter (with the latest CV), a statement of purpose (less than 2 pages), copies of degree certificates, and GATE/NET qualification certificates (for JRF applicants). Postdoctoral applicants should also include PDF copies of at least two publications or writing samples and provide the names, addresses, and email IDs of two referees. Applications should be addressed to Prof. Nithin Nagaraj, Head of the NIAS Complex Systems Programme, and sent via email to [email protected] with the subject line 'NIAS-DRDO project position'. The application deadline is March 10, 2026. Shortlisted candidates will be invited for presentation and/or interview.

For more information about the research interests of the principal investigator, visit this page. This opportunity is ideal for candidates interested in data poisoning, machine learning security, artificial intelligence, cybersecurity, and related fields, offering a chance to contribute to cutting-edge research with real-world impact.

Funding details

The project is funded by the Defence Research & Development Organization (DRDO), Government of India, for 3 years. The Postdoctoral Associate receives a basic fellowship of INR 67,000 per month plus HRA. The Junior Research Fellow receives a basic fellowship of INR 37,000 per month plus HRA. Initial appointment is for 1 year, extendable based on performance and project needs.

What's required

For Postdoctoral Associate: Ph.D. in Cybersecurity, Computer Science, or related areas with research experience in Artificial Intelligence or Machine Learning. At least 3 years of research experience in computer science with expertise in cybersecurity, AI, and Machine Learning. Publications in peer-reviewed international Scopus indexed journals in the area of security of Machine Learning models are desirable. For Junior Research Fellow: Graduate or Post-Graduate degree in a professional course (B.E/B.Tech/M.E/M.Tech in Computer Science, Computer Engineering, Electronics & Communication Engineering, Electrical & Electronics Engineering, or related disciplines) or M.Sc. (Mathematics, Physics, Computer Science, Electronics or related disciplines), selected through National Eligibility Tests – CSIR-UGC NET and GATE. Python programming is mandatory. Knowledge of basic machine learning and deep learning algorithms/models is required.

How to apply

Submit your CV, cover letter, statement of purpose (<2 pages), degree certificate, and GATE/NET certificate (for JRF) as a single PDF by email. Postdoc applicants must also include two publications and referee details. Address applications to Prof. Nithin Nagaraj with subject 'NIAS-DRDO project position'.

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