University of Westminster

Contact: Professor Andrew Clark
Region: England - SE - Greater London
Location: Central London
Email: recruitment@westminster.ac.uk
Sector: Other
Web:
Category: Transport Economics
Closes: 28 Jan 2021
Salary: £50-75K
More info:

Senior Research Fellow

Job Description

University of Westminster

Senior Research Fellow (Transport Economics Modeller)

Ref. 50059586

Salary: £50,162 to £57,361 per annum (Incl. LWA)

Department: School of Architecture and Cities

Location: Central London

This post is full time and permanent, working 35 hours per week

The University of Westminster has been engaged in air transport research, consultancy and teaching for over 40 years. The air traffic management team is located within the School of Architecture and Cities, based at our Marylebone campus, in central London. Air traffic management has been a core area of research for over 20 years, with a very strong international reputation and with particular emphases on economics, operations, data analysis, modelling and performance. Following several successful H2020 project bids, we are now looking to expand this research area through the appointment of a Senior Research Fellow.

The postholder will work on these new projects with the air traffic management team, led by Professor Andrew Cook. The position requires individual and collaborative research, contributions to research bids, co-authored publication work and activities to promote impact and extend the team’s research portfolio, with a high standard of written and spoken English.

The position requires excellent knowledge of the evolving European transport system, in particular the aviation perspective set in the intermodal context of the full journey (including airport access/egress). Expertise in strategic planning and tactical decision-making is essential. The postholder will need to demonstrate experience across a range of transport modelling methods, such as: economic models; transport supply and demand (incl. passenger/consumer drivers); linear and non-linear regression; modal choice models; defining and analysing stated-preference surveys. The postholder must also be able to critically analyse large datasets, drawing high-level knowledge from them and applying them in transport models.

Desirable skills include experience of network modelling, knowledge of behavioural economics, and expertise regarding transport data availability (e.g. passenger flows, surveys).

Shortlisted candidates will be contacted by e-mail by 4 February 2021 regarding interviews. Due to the prevailing Covid-19 situation, interviews will be conducted remotely, on 24 February 2021. Shortlisted candidates will be required to make a short, technical presentation as part of their interview, on a topic to be notified on shortlisting. The interview technical arrangements will be agreed in advance with the candidate. The successful candidate would start ASAP thereafter.

It is likely that the initial period in post would be undertaken remotely. The ATM team uses remote tools extensively for its research collaborations in any case, such that issues are not foreseen with the postholder initially working remotely.

To apply for this vacancy please click above. Further information can be found in the job description and person specification, which can be accessed through link below.

At the University of Westminster, diversity, inclusion and equality of opportunity are at the core of how we engage with students, colleagues, applicants, visitors and all our stakeholders.

We are fully committed to enabling a supportive and safe learning and working environment which is equitable, diverse and inclusive, is based on mutual respect and trust, and in which harassment and discrimination are neither tolerated nor acceptable.

Closing date: midnight on 28 January 2021

Interviews are likely to be held on: 24 February 2021

Administrative contact (for queries only): Recruitment@westminster.ac.uk

How to Apply

How to apply: https://vacancies.westminster.ac.uk/Hrvacancies/default.aspx?id=50059586

 

 
 
 
 

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