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Position: Research Associate - Management Science
Institution: University of Kent
Department: Business School
Location: Canterbury, Kent, United Kingdom
Duties: The research associate will work on a prestigious multi-disciplinary project funded by the British Academy's Global Challenges Research Fund: Cities and Infrastructure programme. The project, titled “Optimal investment strategies to minimize flood impact on road infrastructure in Vietnam”, focuses on development of multi-period optimisation models for strategic, long-term planning of mitigation actions against flood disasters in urban areas using the city of Hanoi as a case study. The project will involve close collaboration with Vietnamese researchers, government agencies, and industry stakeholders
Requirements: PhD awarded, submitted or close to submission in Operational Research/Management Science, Mathematics, Computer Science, or closely allied discipline. Knowledge of mathematical programming and integer programming. A record of publishing in top academic journals
   
Text: Research Associate in Management Science Ref SS1386 Location Canterbury Job Type Research Contract Type Fixed Term Salary Type Per Annum Salary (£) 33518 - 38833 SS1386, Kent Business School, Closing Date: 15 Jul 2018 Grade 7: £33,518 - £38,833 per annum, fixed term and full-time. Kent Business School is seeking to appoint a Research Associate in Management Science . The research associate will work on a prestigious multi-disciplinary project funded by the British Academy's Global Challenges Research Fund: Cities and Infrastructure programme . The project, titled “ Optimal investment strategies to minimize flood impact on road infrastructure in Vietnam ” , focuses on development of multi-period optimisation models for strategic, long-term planning of mitigation actions against flood disasters in urban areas using the city of Hanoi as a case study. The project will involve close collaboration with Vietnamese researchers, government agencies, and industry stakeholders. The School offers the post holder a collegial work environment and a competitive salary. The successful candidate will also receive a generous travel allowance to attend conferences and visit project partners in Vietnam. As a Research Associate in Management Science you will: Work closely with Dr Maria Paola Scaparra and other project partners on the development of an optimisation-based decision support tool to identify a cost-effective schedule of flood mitigation measures for the city of Hanoi, Vietnam Engage with the UK and Vietnamese project partners to define model inputs and support model use and adoption by decision makers Test models using real data from Hanoi and run extensive sensitivity analyses Take a lead role in writing articles for publication in leading peer-reviewed academic journals To be successful in this role you will have: PhD awarded, submitted or close to submission in Operational Research / Management Science, Mathematics, Computer Science, or closely allied discipline Knowledge of mathematical programming and integer programming A record of publishing in top academic journals Kent Business School is the largest school within the University and the Faculty of Social Sciences. The School has 2435 students and 144 staff and is located in a new state-of-the-art building. We offer a strong and growing portfolio of undergraduate, postgraduate taught and research programmes on our two campuses in Canterbury and Medway. The School also delivers part of its MBA programme in Brussels and Paris. We are committed to developing employable graduates and informing the practice of management for a sustainable future. The appointment of new and highly motivated staff has transformed the research culture within the School, attracting interest nationally and internationally. Further Information Start date for applications: 18 June 2018 Closing date for applications: 15 July 2018 Interviews to be held: 23 Jul 2018 Please see the links below to view the full job description and also to apply for this post. If you require further information regarding the application process please contact me on h.frampton@kent.ac.uk quoting ref number SS1386. Please note - applications must be made via the University’s online application system. You will be required to fill in the main details section of the application form as well as upload your CV and a cover letter. Your cover letter should clearly and explicitly address the requirements of the Person specification and you should provide clear evidence and examples in your application which back-up any assertions you make in relation to each criterion. We recommend a maximum of 4 x A4 sides for this document. CVs or details sent directly to the department or via email cannot be considered. No agencies, thank you. Full Job Description SS1386 - Additional Information.pdf SS1386 - JD Research Associate.pdf
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