Research Assistant / Associate – AI & HPC Systems

About the role

We are seeking a motivated Research Assistant or Research Associate to join the Parallel Systems Lab at NTU’s College of Computing and Data Science. The role focuses on designing, developing, and evaluating efficient, scalable systems for modern multi‑agent HPC‑AI workflows, including workload analysis, system prototyping, benchmarking, and experimental validation on local and national supercomputing platforms.

Key responsibilities

• Analyze and characterize emerging multi‑agent AI and HPC workloads to identify performance, scalability, and system‑level challenges.
• Design, implement, and prototype efficient systems and infrastructure for large‑scale AI/HPC workflows.
• Conduct benchmarking and experimental evaluation on local and national supercomputing platforms, analyzing performance and scalability.
• Contribute to research papers, technical reports, and presentations for internal reviews and external conferences or journals.

Required profile

• Bachelor’s or master’s degree in Computer Science or a related discipline.
• Good knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization.
• Proficiency in programming languages such as C/C++ and Python.
• Demonstrated ability to conduct research, solve complex technical problems, and develop innovative solutions.
• Experience with parallel systems, machine learning/AI, or performance benchmarking is highly desirable.
• Ability to work independently and collaboratively in multidisciplinary research teams.

Required skills

• C/C++
• Python