Research Associate (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)

Nanyang Technological University, Singapore

Updated: about 1 month ago
Location: Singapore,
Job Type: FullTime

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


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