Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Conduct interdisciplinary research involving economics, artificial intelligence, quantitative finance, blockchain, and computational modelling.
• Develop, implement, and evaluate economic, financial, and agent-based models using advanced computational and econometric methods.
• Design and implement AI- and large language model-enabled decision-making agents and research frameworks.
• Collect, process, and analyse large-scale financial, blockchain, market, and other relevant datasets using Python, MATLAB, SQL, and related analytical tools.
• Formulate research hypotheses, design empirical studies and experiments, and conduct robustness and validation analyses.
• Develop simulation environments, research prototypes, benchmarks, and analytical tools to support the project’s research objectives.
• Review relevant academic and industry literature and identify emerging research questions, methodologies, and technological developments.
• Prepare research papers, technical reports, presentations, and other research deliverables for publication in reputable journals and conferences.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.