Research Fellow, Computational Optimization in Python

2 days left

06 Sep 2022
End of advertisement period
04 Oct 2022
Contract Type
Full Time

Job Description

  • The successful candidates will work with Prof. Shoemaker and her group to develop, implement and/or evaluate serial and parallel single or multi objective optimization algorithms for black-box objective functions.  
  • The optimization problem can be expected to have multiple local minima/maxima. Surrogate methods are considered also since computational efficiency for computationally expensive objectives (e.g. simulations) is greatly enhanced with them.

Job Requirementst

  • PhD in an optimization/statistical/computational field (e.g. Operations Research, Industrial/Systems  
  • Extensive experience in developing complex computer codes in Python.
  • Prior knowledge of surrogate global optimization is an advantage.

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department: Industrial Systems Engineering and Management
Employee Referral Eligible: No
Job requisition ID: 15236

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