An exciting opportunity exists for a statistical researcher on the Innovate UK funded LHOFT (Liverpool - Humber Optimisation of Freight Transport) project.
Salary: £27,285 to £38,832
Closing Date: Sunday 4 March 2018
Reference: A2189
Fixed term post: 17 months, available from 1 May 2018
Further particulars including job description and person specification are available at: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A2189
Informal enquiries can be made to: Prof Idris Eckley Este enderezo de correo está a ser protexido dos robots de correo lixo. Precisa activar o JavaScript para velo. or Prof Peter Neal Este enderezo de correo está a ser protexido dos robots de correo lixo. Precisa activar o JavaScript para velo.
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The LHOFT project seeks to unlock the full potential of the ports and logistics services along the M62 corridor to better move freight originating from or destined for the north of England. The research is in collaboration with the Logistics Institute at the University of Hull and an extensive consortium of industrial partners led by P&O Ferries and including Unilever, Nestle, KraftHeinz and Unipart. You will contribute to the development of forecasting freight flows and uncertainty quantification and scenario evaluation within an agent based simulation platform designed by the University of Hull.
This is an exciting time to be joining one of the largest and strongest Statistics groups in the UK, comprising 26 academic staff, 10 research associates and over 40 FTE research students. The Statistics group has an excellent reputation for industrial-relevant statistics and hosts the EPSRC-funded Centre for Doctoral Training in Statistics and Operational Research in partnership with industry, STOR-i (www.stor-i.lancs.ac.uk)
The Department provides a research environment that strongly supports the needs of each member, promoting a healthy work-life balance. We are committed to family-friendly and flexible working policies on an individual basis, as well as the Athena SWAN Charter, which recognises and celebrates good employment practice undertaken to address gender equality in higher education and research.
