Research Fellow I

Job Req ID:  1916
Employee Category:  Research
Department:  ESD Pillar

Post Doctoral Position in GPU-Accelerated Optimization/Graph Algorithms

Engineering Systems and Design, Singapore University of Technology and Design (https://sutd.edu.sg/About)

 

Graphics Processing Units (GPUs) have become pervasive computing devices. They are massively parallel machines that provide a cost-effective solution for high-performance computing applications. Their application in discrete optimization and graph algorithms has not received much attention, however. Our research group in ESD at Singapore University of Technology and Design (and ISE at  University of Illinois, Urbana-Champaign) have been pursuing novel research in parallel algorithms with strong theoretical underpinnings, for the Compute Unified Device Architecture (CUDA) enabled NVIDIA GPUs, to solve large-scale Assignment Problems and Graph Algorithms. We also contribute to making AI faster. (See below for past research.)

 

Job Responsibilities

Postdoctoral Fellows will have an opportunity to perform impactful research in parallel algorithms for (discrete) optimization and graph problems. Publishing highest quality research papers in top-ranked journals (and conferences) is to be expected.

 

Minimum and Preferred Qualifications

A doctorate in Industrial and Systems Engineering, Operations Research, Computer Engineering, Computer Science, or closely related discipline is required at the start of the appointment. Prior publication credentials will be evaluated. Knowledge of CUDA (and GPU hardware basics) will be a plus but not mandatory. Should have a desire to make break-through contributions, such as https://developer.nvidia.com/blog/accelerate-large-linear-programming-problems-with-nvidia-cuopt/ 

 

Application Requirements

Interested applicants should submit: (1) a brief letter/email of interest; (2) curriculum vitae; (3) names and contact information for three references; and (4) research plan/proposal (up to two pages, not including references) to Prof. Rakesh Nagi rakesh_nagi@sutd.edu.sg. SUTD will perform a background check before the employment can be finalized.

 

Details

Starting date as early as January 2025! Duration of 1+ years.

Deadline: Jan 31, 2025 (or until position is filled).

Successful candidates can look forward to competitive remuneration packages.