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Tejasvi Alladi

Assistant Professor

Birla Institute of Technology and Science, Pilani

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Research Interests

Internet Of Things

10%

Deep Learning

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Information Technology

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Electrical Engineering

10%

Network Security

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Computer Science

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Positions1

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Tejasvi Alladi

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Birla Institute of Technology and Science, Pilani

JRF/Project Associate-1 in IoT, Network Security, and Federated Learning with Generative AI Security Agents (PhD pathway)

Birla Institute of Technology and Science, Pilani (Pilani campus) is inviting applications for a Junior Research Fellow (JRF) / Project Associate-I position in the CSIS Department under an ANRF Advanced Research Grant project. Project title: Toward Resilient IoT: Federated Learning with Generative AI Security Agents . The work sits at the intersection of IoT , network security , and AI/ML , with a particular emphasis on LLMs , transformer models , and deep learning . The project is interdisciplinary and involves collaboration across Computer Science and Electronics. Eligibility: Candidates should have a first-class Master's degree or Bachelor's degree in Computer Science or Electronics from a recognized university or equivalent, along with GATE/NET qualification . The announcement states that the position is applicable only to PhD aspirants . Preference will be given to applicants with strong skills in LLMs, transformer models, deep learning, IoT, and good publications. The upper age limit is 30 years at the time of interview, with relaxation as per government rules. Funding: The fellowship is ₹37,000/month for NET/GATE candidates. The notice also mentions ₹30,000/month for non-NET/GATE candidates as Project Associate-I. The tenure is 2 years plus a third year onward as SRF after evaluation, for a total of 3 years, and there is an opportunity to continue as an institute-funded PhD scholar after the JRF tenure. Application deadline: 30 June 2026 . Interviews are tentatively scheduled for the first week of July 2026, and joining is ASAP. How to apply: Submit the Google Form with your CV and supporting documents before the deadline. Shortlisted candidates will be informed about the online interview. For queries, contact Dr. Tejasvi Alladi at the email provided in the notice.

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