Research Fellow in Human Mobility Analysis and Modelling

Southampton, United Kingdom
£32,348 to £39,745 per annum
01 Sep 2022
End of advertisement period
28 Sep 2022
Contract Type
Fixed Term
Full Time

Population, Health & Wellbeing (PHeW)

Location:  Highfield Campus
Salary:   £32,348 to £39,745 per annum
Full Time Fixed Term until 31/12/2025
Closing Date:  Wednesday 28 September 2022
Interview Date:   To be confirmed
Reference:  1956622WR

The WorldPop Programme (, based at the University of Southampton is an award winning, multi-sectoral team of researchers, technicians and project specialists working on producing data on population distributions and characteristics at high spatial resolution. We are seeking to recruit a Research Fellow to model human mobility, over space and time, for contributing to identify and characterize rural and functional areas in Europe, as well as to assess the drivers and determinants of mobility within and between them.

We require an enthusiastic, self-motivated, and committed data analyst and modeller to mainly work on (i) screening data sources and methods for modeling rural mobility, (ii) identifying bias, gaps, and challenges as well as ways to overcome them, (iii) exploring options, performances and costs associated to the collection of the data and implementation of the methods, (iv) selecting the “best” data and methods, (v) developing/advancing and implementing suitable modeling approaches, and (vi) validating the modeling results and/or assessing their uncertainty.

This role is a critical contribution for a collaborative Horizon Europe research project, involving 23 participant organisations from 13 European countries. The main goal of the collaboration is to generate and make available novel rural data and metrics for enriching the rural actors' knowledge on the diversity of rural areas, their functional characteristics, challenges and opportunities.

The project work to be undertaken involves:

  • Potentially contributing to the development of an Open Science Strategy, a Data Management Plan and the preparation of ethical guidelines for the project 
  • Screening assembling, comparing, harmonizing, and integrating human mobility data and proxies, including spatial and non-spatial data representing drivers of mobility, to better understand the timing and magnitude of rural mobility, and to enable a better characterization of diverse rural settings based on (novel) mobility metrics
  • Contributing to reporting activities and to the communication, outreach, dissemination, and uptake/exploitation of the project results 
  • Traveling to attend national and international project meetings, conferences, and workshops.
  • Leading and contributing to the preparation of manuscripts for leading peer-reviewed scientific journals.

You will have a PhD or equivalent professional qualifications in a computational/statistical/quantitative discipline. Strong experience in spatio-temporal statistical analysis, geographic data, and computer programming would be essential.

The University of Southampton offers excellent benefits that will make your life easier, including a generous holiday allowance of 30 days, 6 additional university closure days plus public holidays. We will support your long-term future too, with access to a generous pension scheme with Universities Superannuation Scheme (USS), subsidised health and fitness facilities and a range of discounts.

The School of Geography and Environmental Science is committed to fostering a culture of equality, diversity and inclusion]. We welcome applications from suitably qualified candidates, and particularly encourage applications from candidates belonging to groups who are under-represented within academic posts at the University, including, but not limited to: people from Black and minority ethnic groups; and disabled people. 

*Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification.  The title of Research Fellow will be applied upon completion of PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.

Informal enquiries may be made to Jessica Steele ( and/or Alessandro Sorichetta (

Application Procedure 

You should submit your completed online application form at The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Lauren (Recruitment Team) on +44 (0) 23 8059 2750, or email Please quote reference 1956622WR on all correspondence. 

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