University of Moratuwa Hiring Research Assistant for LLM Research – Apply Now
This full-time Research Assistant position at the University of Moratuwa offers an exciting opportunity to work on cutting-edge Large Language Model (LLM) research within the Department of Computer Science & Engineering under the supervision of Prof. Uthayasanker Thayasivam.
Scope of Research Work
- Develop and optimize Large Language Models (LLMs) for advanced AI applications.
- Work on training, fine-tuning, and evaluation of transformer-based models.
- Conduct experiments using large-scale datasets and GPU computing resources.
- Implement efficient model training pipelines and inference systems.
- Contribute to research publications in high-impact conferences and journals.
Qualifications Required
- Undergraduate degree in Computer Engineering, Electronics Engineering, Computer Science, Electrical Engineering, or related fields from a UGC recognized university.
- Second Class Upper Division or above.
- Good understanding of Deep Learning and LLM fundamentals.
- Strong programming skills and prior experience with Deep Learning Frameworks.
- Good technical writing and English communication skills.
Preferred Qualifications
- Prior publication experience.
- Familiarity with LLMs, Transformers, NLP, or Generative AI.
What We Offer
- An attractive monthly stipend.
- Opportunity to pursue MSc, MPhil or PhD (by research) at the University of Moratuwa.
- Full-time research assistant position.
- Access to high-performance NVIDIA GPU computing infrastructure.
- Hands-on experience with large-scale AI model development.
- Opportunity to collaborate on cutting-edge LLM research.
- Support to publish in top-tier AI/ML conferences and journals.
Duration and Start Date
- Duration: 12 to 36 months (full-time only)
- Tentative Start Date: 15th April 2026
How to Apply
Interested candidates are invited to apply by visiting the following link:
https://tinyurl.com/RADataSearch
For inquiries, please contact: [email protected] (Prof. Uthayasanker Thayasivam)
Application deadline: 28th March 2026
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