Senior Research Fellow (Artificial Intelligence/Machine Learning/Large Language Model) Full-time

Senior Research Fellow

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduate students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world's largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

We are looking for a Senior Research Fellow to carry out and oversee research projects in multimodal, generative, and embodied AI. The role will focus on designing, developing, analyzing, and evaluating large AI models to push the current boundaries.

Key Responsibilities:

• Design LLM-centric solutions to frontier AI problems
• Design experiments to analyze and evaluate the solutions
• Oversee and perform research experimentations
• Oversee and produce research manuscripts to publish at the top-tier venues
• Stay abreast of the cutting-edge developments in AI research–particularly pertaining

– Large language models

– Multimodality

– Model alignment and safety

– Diffusion and flow-based generative models

– Embodied AI

• Exploration and development of new research avenues
• Occasional administrative duties for the project

Job Requirements:

• PhD degree in Electrical and Electronic Engineering, or related field.
• Research experience with Artificial Intelligence/Machine Learning/Large Language Model.
• Publication track record in a series of top tier conference papers e.g, in NeuRIPS, ICLR, ACL, EMNLP and ICML is an advantage.
• Excellent verbal and written communication skills

We regret to inform that only shortlisted candidates will be notified.