Research Engineer I/II (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)
Join to apply for the Research Engineer I/II (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics) role at Nanyang Technological University Singapore .
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 modeling.
- 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.
Additional Details
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: Higher Education
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