Research Fellow (Spatial Data Science) – AR2135RSB

We are looking for candidates for a 14-month Postdoctoral Research Fellow post in Spatial Data Science. The post is located at the School of Geography & Sustainable Development at the University of St Andrews, to work on the project Uncovering the Mechanisms of Migratory Bird Navigation with Big Data Analytics, funded by the Leverhulme Trust.

This post presents an opportunity for a spatial data scientist to work with other data scientists and ecologists on an inherently interdisciplinary project. The research fellow will be responsible for development of new spatial data fusion methods for open geomagnetic and bird tracking data. These methods should overcome the heterogeneity of data sources and issues with diverse spatial and temporal scales at which data are collected.

The post holder will work in an interdisciplinary and international team, consisting of spatial data scientists at the University of St Andrews and ecologists at the Max Planck Institute for Ornithology (MPIO) in Germany. The holder will be expected to publish their findings in relevant venues in GIScience and ecology as well as contribute to the broader research within the grant that is funding the post.

Applicants should hold a PhD in geographic information science, remote sensing or a related spatial data science discipline and have an interest in movement ecology. The post also requires knowledge of coding and spatial data processing.

Post will start on 1 September 2019 or as soon as possible thereafter. Duration: 14 months.

Application DL: 10 May 2019, via the Vacancies portal of the University of St Andrews.

Interview date: 28 May 2019 (Skype interviews are possible).

More details in the job listing (ref. no. AR2135RSB).
For a full job description see Further Particulars (AR2135RSB).

For more information email

Two fully-funded PhD studentships in demography/GIScience

We are advertising two fully funded PhD projects on topics at the cross-over of demography and spatial statistics/GIScience.

Applicants criteria for both positions:

1) A first class or an upper secondary undergraduate or master’s degree in any area of social, environmental and health sciences (including statistics and applied mathematics);

2) Interest in developing and/or applying advanced quantitative methods in social sciences ;

3) Interest in working with spatial and longitudinal data;

4) For non-native speakers, a high level of English (University of St Andrews requires a minimum IELTS score of 6.5).

Coding skills are an advantage (e.g. in R, Python, Stata or SAS), but not required.

Both projects start in October 2019.


1. Modelling Short- and Long-Term Effects of Air Pollution and Temperature on Population Health and Mortality

The aim of this project is to investigate short- and long-term effects of air pollution and extreme weather events on health and mortality in Britain. This will be done by developing a multilevel survival model to study the effect of time-varying contextual factors on individuals’ health and mortality.

This project is funded by the Scottish Graduate School of Social Science / ESRC, check your eligibility here.

Project description / How to apply / DL 10 April 2019

Supervisors: Prof Hill Kulu and myself.


2. Climate Change, Air Pollution and Ethnic Inequalities in Health: Analysis and Projection Based on Longitudinal Register Data from Scotland

The objectives of this PhD project are to study effects of air pollution and extreme weather events on population health and mortality on ethnic groups in Scotland and to project future health behaviour and mortality patterns as response to changes in weather and pollution. For this, we will link individual-level ethnic group data from the Scottish Longitudinal Study (SLS) and environmental data linked to individuals’ residential contexts, such as meteorological and air quality data.

This project is funded by the St Leonard’s College Interdisiplinary Scholarship of the University of St Andrews.

Project description / How to apply / DL 10 May 2019

Supervisors: Prof Hill Kulu, Prof Frank Sullivan (School of Medicine) and myself.