Two PhD studentships in GIScience/Ecology

We invite applications from qualified and highly motivated students for two exciting interdisciplinary PhD studentships in Geographic Information Science and Ecology, funded through the NERC Doctoral Training Partnership IAPETUS2 .

PhD studentships will be based at the School of Geography & Sustainable Development at the University of St Andrews and at the School of Biological and Environmental Sciences at the University of Stirling. Projects will be co-supervised by Dr Urška Demšar (St Andrews) and Dr Thiago Silva (Stirling) with additional external supervisors.

 

Project 1. A time geography approach for data fusion of movement and environmental data: accounting for uncertainty of movement in resource selection models
Located at the University of St Andrews, with co-supervision from Stirling.

 

 

Project 2. New theoretical and analytical approaches for quantifying landscape dynamics and its effects on ecosystem function in the hyper-dynamic Amazon wetlands
Located at the University of Stirling, with co-supervision from St Andrews.

 

 

The studentships cover tuition fees at the UK/EU level and a yearly tax-free stipend of £14777/year for 3.5 years, plus additional funding for research and conference travel as part of the project. Note that these studentships are available for UK/EU citizens only, where EU citizens need to comply with the UKRI eligibility conditions (i.e. be ordinarily resident in UK for at least 3 years prior to application) or else they are eligible for fees only award. International (non-EU/non-UK) applicants are not eligible for these studentships and will not be considered.

The studentships will start in September 2020.

We are looking for candidates who fulfil the following requirements:

  • Interest in GIScience/Ecology.
  • Ability to work with and develop new methods for big spatial data.
  • An excellent degree in a relevant discipline: GIScience, Geoinformatics, Remote Sensing, Ecology, Geography, Data Science.
  • Preferably an MSc degree or a BSc from a 4-year programme.
  • Good coding skills (preferably in Free and Open Source Software (FOSS) environments: Python, R, QGIS).
  • Excellent English skills for non-native speakers (note that University of St Andrews requires 6.5 to 7.5 on IELTS for admission of international PhD students).

How to apply for the St Andrews project (1):
send your CV and an expression of interest (where you explain how you meet these conditions and why you are interested in this topic) to Dr Urška Demšar at urska.demsar@st-andrews.ac.uk before Tue 17 Dec 2019. You will be contacted and invited to submit a full application according to the IAPETUS2 instructions.
Please do not submit a full application unless you have been invited to do so.

How to apply for the Stirling project (2):
contact Dr Thiago Silva at thiago.sf.silva@stir.ac.uk prior to submitting a full application.

How to submit a full application: See IAPETUS2 website for instructions.

DL for full application: Friday 10th January 2020 at 5pm (GMT)

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 urska.demsar@st-andrews.ac.uk.