Research Assistant/Research Associate/Research Fellow (Computer Science)
LocationNTU Main Campus, Singapore
Work modeon-site
Typefull-time
Company size10,000+ people
First seen1w ago
Last seen20h ago
About the company
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.
About the role
The candidate will undertake research in resource allocation for distributed computing, in particular path planning and execution for multi-agent systems.
Key Responsibilities:
•
Conduct research on resource allocation and distributed computing with a focus on multi-agent systems.
•
Design and develop algorithms for path planning, coordination, and execution in multi-agent environments.
•
Analyze theoretical aspects of distributed systems, including optimization, scalability, and efficiency.
•
Implement and test proposed methods through simulations or real-world experiments.
•
Evaluate system performance using appropriate metrics (e.g., latency, throughput, fairness, robustness).
Job Requirements:
•
For Research Fellows, candidates must have a PhD in Computer Science or related disciplines from a reputable university.
•
For Research Associates, candidates must have a Master in Computer Science or related disciplines.
•
For Research Assistants, candidates must have a Bachelor in Computer Science or related disciplines.
•
Good knowledge in multi-agent systems or distributed computing, algorithm design and analysis, and optimization
•
Relevant research experience with proven records.
•
Independent, highly analytical, proactive and a team player
•
Excellent teamwork and verbal, written communication skills
Hiring process
We regret that only shortlisted candidates will be notified.