Deeksha Varshney
Closing soon
3 days ago
PhD in Natural Language Processing, Trustworthy AI, and Multilingual LLMs at IIT Jodhpur Indian Institute of Technology Jodhpur in
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
Indian Institute of Technology Jodhpur
University
IIT Jodhpur

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About this position
Indian Institute of Technology Jodhpur (SAIDE) is inviting applications for PhD positions in Natural Language Processing and related areas under Deeksha Varshney, Assistant Professor at the School of Artificial Intelligence and Data Science. The research group, ADHRI-NLP Lab, works on interpretable machine learning, trustworthy AI, multilingual large language models (MLLMs), small language models (SLMs), representation engineering, hallucination detection and mitigation, and other socially impactful AI applications.
The post highlights a strong fit for students interested in Computer Science and applied AI/NLP research, especially those who want to work on multilingual and resource-efficient models for education, healthcare, climate, and other high-impact domains. The lab also mentions work on multimodal data fusion, edge AI, and robust AI systems.
Eligibility: candidates who are GATE qualified, UGC-NET JRF holders, or graduates from CFTIs are encouraged to apply. Applicants should be motivated to join the research group and are asked to send a statement of purpose.
Funding: selected candidates will be offered fully funded PhD positions as per institute norms.
Application deadline: 20 April 2026. Interested candidates should use the application link provided and may also contact the professor directly for more details.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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