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. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.
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.
The College of Computing & Data Science (CCDS) invites applications for the position of Project Officer.
Key Responsibilities:
Develop novel quantum reinforcement learning (QRL) algorithms using variational quantum circuits (VQCs), focusing on the multi-agent setting.
Design and implement efficient credit assignment strategies for quantum multi-agent systems, improving both convergence and policy quality.
Benchmark quantum policies against classical baselines under various cooperative and competitive environments using simulators and, where possible, NISQ-era hardware.
Investigate hybrid quantum-classical frameworks to integrate variational quantum agents with classical coordination mechanisms in multi-agent reinforcement learning (MARL).
Analyze the learning dynamics and scalability of VQC-based agents under limited qubit and noise constraints, identifying the trade-offs between quantum advantage and model complexity.
Contribute to theoretical advancements in understanding the expressivity and optimization landscapes of variational quantum policies for multi-agent systems.
Write high-quality research papers to disseminate key findings at top AI, quantum computing, or reinforcement learning venues (e.g., NeurIPS, AAAI, QIP).
Support experimental evaluations by simulating quantum circuits and conducting ablation studies on learning efficiency and credit attribution effectiveness.
Job Requirements:
Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
Independent, highly analytical, proactive and a team player
Excellent teamwork and verbal, written communication skills
Strong sense of responsibility and able to work independently with minimal supervision
Self-motivated and able to multi-task
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
