Research Associate in Decision-Making under Uncertainty

Imperial College London - Imperial College Business School

(2 years fixed term)

South Kensington Campus

The Management Science & Operations group at Imperial College Business School is seeking applications for a Research Associate in the area of decision-making under uncertainty, in particular in the fields of robust optimization or stochastic programming. Applicants must hold a PhD in Operations Research, Applied Mathematics or a related field and have strong mathematical skills.

The successful candidate will conduct research with Dr. Wolfram Wiesemann from the Management Science & Operations group at Imperial College Business School. The position is funded through EPSRC grant EP/M028240/1, which is conducted in collaboration with researchers from the Department of Computing, Imperial College London, and the Department of Chemical Engineering, University College London.

The Management Science & Operations group at Imperial College Business School studies all aspects of theoretical and practical decision-making, with applications to operations management, energy and finance. Faculty members regularly publish in leading academic journals such as Management Science, Operations Research, Mathematical Programming, Mathematics of Operations Research and SIAM Journal on Optimization. The group maintains close relations with the Computational Optimization Group at the Department of Computing, Imperial College London.

Situated at the heart of London, Imperial College London is a research-focused university that has been consistently ranked among the top ten universities in the world and the top five institutions in Europe in the past ten years.

Informal enquiries should be directed to Wolfram Wiesemann directly:

To view full details or apply for this job, click on the “Apply” button below. Please select “Job Search” then enter the job title or vacancy reference number ICBS 2016 049 into “Keywords”.

Alternatively, if you are unable to apply online, please contact Naz Hussain on 020 7594 1583 or email

Please state clearly the job title and reference number of the post for which you are applying and ensure that your personal statement consists of no more than 1000 words. 

Closing date: 8 November 2016 (midnight BST)

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