Job Description

ATMRI at NTU is seeking a highly motivated Research Associate to join its interdisciplinary team working at the intersection of Artificial Intelligence (AI), Natural Language Processing (NLP)/Large Language Models (LLMs), and Multi-Agent Systems (MAS). This role involves both fundamental and applied research in intelligent systems for air traffic operations.
Key Responsibilities:Conduct research in: + NLP tasks including language understanding, generation, summarization, and dialogue systems.
+ Advanced retrieval augmented generation techniques and Agentic AI frameworks.
+ Time-series analysis and time-series foundation models.
Develop and evaluate AI models: + 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.
Develop GenAI POCs with safety-critical application as central focus. Curate, process, and analyze air traffic and domain-relevant textual data. 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 and technical reports.
+ Project proposals, internal knowledge transfer, and collaborative research efforts
Collaborate with industry and academic stakeholders for real-world integration of AI solutions

Requirements:Master's degree in Artificial Intelligence, Computer Science, Optimization, Computational Linguistics, or a related field. Strong foundations in multi-agent systems, NLP and python programming. Good writing and communication skills. Able to work independently, work comfortably with team and external/international collaborators.

We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU