[DMANET] Simulation Modelling Research Associate (Port of Dover KTP)

We seek a PhD graduate (or someone close to completion) with expertise in agent based modelling (ABM), discrete event simulation (DES), and hybrid modelling, who will be responsible for leading a 2-year Knowledge Transfer Partnership (KTP) between University of Kent and the Port of Dover to support long-term strategic developments at the Port. The KTP Associate will be tasked with helping to inform the Port of Dover's master planning exercise by developing bespoke ABM / DES / hybrid models to forecast and manage traffic flows in response to evolving post-Brexit regulatory requirements and the implementation a new digital border. Successful delivery of the project will enable reduced congestion, increased throughput of goods, and wider environmental and social benefits through decarbonisation and local air quality improvements.

The successful applicant will be based at Port of Dover's premises, being embedded in the Port's Strategy and Corporate Planning Team, and will work closely with a team of academics from the Department of Analytics, Operations & Systems<https://research.kent.ac.uk/daos/> in Kent Business School. Applicants should hold a PhD in operational research, management science, business analytics, or similar. Candidates must have an in-depth knowledge and demonstrated proficiency in the application of ABM / DES / hybrid modelling, as well as a good understanding of data analysis and statistics. Good computer programming skills (e.g. C/C++, Java, Python) and experience working with one or more industry standard simulation and statistical packages (e.g. AnyLogic, SIMUL8, Repast, MASON, R, SPSS) are essential. Previous industry experience is highly desirable as is a proven track record of academic publishing.

The closing date for the position is 29 June 2022. For more information or to apply, please follow the link below.

https://jobs.kent.ac.uk/vacancy.aspx?ref=KBS-096-22

For informal discussion only, please contact Prof Jesse O'Hanley, Head of the Department of Analytics, Operations and Systems, (j.ohanley@kent.ac.uk<mailto:j.ohanley@kent.ac.uk>).

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