NATIONAL UNIVERSITY OF SINGAPORE

Research Assistant (IORA)

Location
Singapore
Posted
01 Sep 2023
End of advertisement period
01 Oct 2023
Ref
18335744
Contract Type
Fixed Term
Hours
Full Time

The Role

Institute of Operations Research and Analytics (IORA) at National University of Singapore (NUS) offers an exciting opportunity for a highly motivated Research Assistant / Associate to work on and manage analytics projects. The projects aim to develop new analytics tools utilizing unique datasets and research and experimental development on machine learning techniques.

Your technical skills are the foundation of this role as you will be working within multidisciplinary and international project team of leading researchers. As an important and integral member of our research team, you may be managing some of our industry projects and working closely with faculty members, research scientists, and PhD students. Our researchers can mine terabytes of data, develop mathematical models and algorithms to derive new insights. Part of your job is to communicate complex data and algorithms into simple conclusions that will empower our industry partners to act based on the research insights. Your business knowledge, interpersonal/communication skills are therefore a requirement to thrive in a multi-functional leadership team.

Requirements

The University values courage and creativity, openness and engagement, inclusion and diversity, and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Research Assistant/associate who has:

  • a completed degree/Masters in computer science, operations research, econometrics, statistics, or related field
  • strong mathematical and programming background and problem-solving skills
  • knowledge on reinforcement learning models
  • proficient in python/R
  • an ability to work in a collaborative team environment
  • excellent communication skills

About Us

IORA conducts research on optimization, analysis and management of service systems, including model formulation, algorithm design, analysis of service strategies, and software development. Our members come from academics and diverse segments of management that are advancing the philosophy of operations research and analytics. For more information on IORA, please visit the website:

https://iora.nus.edu.sg

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