Project Officer (Operations Research) - Jurong West

apartmentNANYANG TECHNOLOGICAL UNIVERSITY placeJurong West calendar_month 

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance.

PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

A Project Officer position is available in the school of Physical and Mathematical Sciences at Nanyang Technological University with a focus on robust optimization and resource allocation. The post-holder will be encouraged to pursue his or her own, and newly arising, applications using a data-driven robust optimization approach.

We are seeking to hire a Project Officer to conduct research on resource allocation with limited information for generalized assignment problems. The methodology derived from the project has significant research and practical value.

Key Responsibilities:

The successful applicant will be responsible for:

  • Conducting research on resource allocation with limited distributional information.
  • Developing collaboration with other research teams, public agents and particularly industry partners.
  • Basic administrative support.

Job Requirements:

  • Applicants should have a have a bachelor’s degree in operations research, Computer Science, Mathematical Optimization, Industrial Engineering, or a related field, before the anticipated start date of April 1, 2025.
  • Applicants should have expertise in at least one of the areas of convex optimization and resource allocation
  • Applicants should also have strong coding skills (one or more of R, Julia or Python) and experience using one or more commercial optimization solvers.

The successful applicant will be on a 1-year contract.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret to inform that only shortlisted candidates will be notified.

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