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

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading university in Singapore is seeking a motivated Research Associate to join their team. The role involves conducting research in Artificial Intelligence, focusing on NLP and multi-agent systems. Candidates should have a Master's degree in a relevant field and experience with Python programming. The position includes developing AI models, curating data, and collaborating with stakeholders. Strong writing and communication skills are essential. Only shortlisted candidates will be notified.

Qualifications

• Master’s degree in Artificial Intelligence, Computer Science, Optimization, or related field.
• Strong foundations in NLP and multi-agent systems.
• Good writing and communication skills.
• Able to work independently and collaboratively.

Responsibilities

• Conduct research in NLP tasks and advanced AI frameworks.
• Develop AI models and prototypes for decision-support systems.
• Curate and analyze air traffic data.
• Collaborate with industry and academic stakeholders.

Skills

NLP tasks including language understanding

Advanced retrieval augmented generation techniques

Agent-based models

LLM-based models

Python programming

Time-series analysis

Education

Master’s degree in AI, Computer Science, or related field

Tools

PyTorch

TensorFlow

HuggingFace Transformers

LangChain

Job description

Overview

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.

Responsibilities

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

Qualifications

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.