ATMRI at NTU is seeking a highly motivated Research Engineer to join its dynamic research team working at the forefront of Artificial Intelligence (AI), Multi-Agent Systems (MAS), and Natural Language Processing (NLP)/Large Language Models (LLMs) with a focus on high impact research in top tier AI conferences and journals.

Key Responsibilities:

Conduct research in:

• Multi-Agent Systems and Reinforcement Learning (e.g., DDPG, PPO, MARL).

• NLP including language understanding, generation, explainability and reasoning, and dialogue systems.

Develop and evaluate AI models, including:

• Agent-based and LLM-based models using frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and LangChain.

• Prototypes for LLM-powered decision-support systems and language interfaces.

Design and implement simulation platforms and experimental pipelines for algorithm validation.

Visualize simulation and experimental results to support decision-making and research findings.

Contribute to:

• High-impact publications in top-tier AI conference and journals.

• Internal knowledge transfer, and collaborative research efforts

Requirements:

• Minimally a Bachelor’s degree in Artificial Intelligence, Computer Science, Optimization, Computational Linguistics, or a related field.

• Strong foundation in multi-agent systems, NLP and python programming.

• Strong background in Mathematics and modelling.

• Good English writing and communication skills for research work.

• Able to work independently, work comfortably with team and external/international collaborators.

• Experience in publication in top tier AI conferences/journals is desired.

• Experience in prototypes and intelligent tools development is desired.

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