Research Associate in Monitoring Complex Systems with Rare High Consequence Events: Transportation Workstream

Short info about job

Detail information about job Research Associate in Monitoring Complex Systems with Rare High Consequence Events: Transportation Workstream. Terms and conditions vacancy

South Kensington Campus and The Alan Turing Institute

Fixed Term: 3 years with the possibility of extension

Starting Date: Negotiable by 1 January 2018.

The Statistics section is seeking a Research Assistant/Associate to work in the area of Data-Centric Engineering. The position is funded through the Lloyd’s Register Foundation – Alan Turing Institute Programme on Data-Centric Engineering. The Research Assistant/Associate will work directly with Professor Emma McCoy and Professor Dan Graham, and will join a vibrant Statistics Section at Imperial College London as well as the Data Centric Engineering team at the Alan Turing Institute. The position will be physically based at the Alan Turing Institute, headquartered at the British Library, London.

The Statistics Section of the Department is consistently rated one of the top in the country for research. We have 18 permanent faculty and research expertise in diverse areas.

The project is for the transportation stream of the Grand Challenge on Monitoring Complex Systems with Rare High Consequence Events and aims to develop statistical methodologies and mathematical methods to measure the performance of transport networks and quantify the impacts of interventions and shocks in transport systems.

You will have a PhD degree), or an equivalent level of professional qualifications and/or experience, in Statistics. You will also have working experience in one or more of: statistical modelling, data science, longitudinal data analysis, causal inference, transport modelling or transport planning/engineering. You will also be expected to have a background and proven knowledge in data processing and analysis and computational statistics e.g. handling high frequency streaming data and spatio-temporal data, numerical optimization, non-parametric regression, Monte Carlo and bootstrap methods. You will also have a record of achievement, including publications, in a relevant research field that is commensurate with your experience. 

In addition, you will have the demonstrated ability for independent research, and be able to work effectively as part of a team. You will have the ability to develop and apply new concepts, and have a creative approach to problem solving. You must be able to demonstrate excellent verbal and written communication skills, be able to interact effectively with a wide range of people, and be able to learn and teach new skills. You will also be able to write clearly and succinctly for publications.

 *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £32,380 - £34,040 per annum.

For additional information please contact Professor Emma McCoy: [email protected]

Our preferred method of application is online via our website: http://www.imperial.ac.uk/employment (Please select “Job Search”, then enter the job title or vacancy reference number NS2017150LH  into “Keywords”).  Please complete and upload an application form as directed, also providing a CV and a list of publications, and the names of three referees.

Should you have any queries regarding the application process, please contact Mr. Thomas Brain, Research Liaison Officer, Email: [email protected]

Imperial Managers lead by example.

Closing date: 10 September 2017

Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.