Research Fellow in Operational Research / Business Analytics (1195419TR)

The University of Southampton is seeking to appoint a talented Post-Doctoral Research Fellow (PDRF) to work on a project to undertake research using simulation optimisation methods to design a resilient supply chain for relief items in order to improve preparedness and response to disasters funded by the Engineering and Physical Sciences Research Council (EPSRC). This is a joint project between the Universities of Southampton and Universitas Padjadjaran, led by Dr Stephan Onggo, Dr Christine Currie and Dr Tomy Perdana. The successful PDRF will work closely with Dr Christine Currie from the School of Mathematical Sciences and the Director of CORMSIS to develop a simulation optimisation model to optimise the warehouse locations and replenishment policies during the preparedness phase in disaster management and routing during the response phase in disaster management.

The primary duties of the post holder will be to develop the simulation optimisation model and algorithm to solve it using real data from West Java in Indonesia that will be provided by our Indonesian collaborators and partners.

The successful candidate will have or be close to obtaining a PhD in a quantitative discipline with a good knowledge of optimisation methods. Good communication skills are essential. Knowledge of simulation (discrete-event or agent-based simulation), stochastic optimisation and optimisation-via-simulation methods as well as an interest in disaster risk management are desirable.

Applications for a Research Fellow position will be considered from candidates who are close to completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD.  Prior to the qualification being awarded the title of Senior Research Assistant will be given.

The successful candidate will become a member of the Centre of Operational Research, Management Sciences and Information Systems (CORMSIS) https://www.southampton.ac.uk/cormsis/index.page at the University of Southampton, which is one of the largest OR/MS groups in the UK and top 50 in the world for Statistics and OR (QS World Rankings 2019). They will also become a member of the Department of Decision Analytics and Risk https://www.southampton.ac.uk/business-school/about/departments/decision-analytics-and-risk.page which unites experts from areas such as business analytics that harnesses today’s big data and produces information and knowledge to inform decisions; risk analysis that provides assessment and quantification of risk and an understanding of risk behaviour; knowledge management and information systems that capture and distribute information and knowledge for their effective use; and management science that provides a range of tools for scenario analysis, forecasting, optimisation, operations planning and simulation.

Informal inquiries may be made via email to Dr Stephan Onggo b.s.s.onggo@soton.ac.uk.

Application Procedure:

You should submit your completed online application form at https://jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Daniel Ward (Recruitment Team) on 02380 597749. Please quote reference 1195419TR on all correspondence.

Closing Date: 26 Nov 2019
Post Type: Education, Research & Enterprise