2 PhD positions funded by EU at the ODECO project

Dear Colleagues,

ODECO is a 4-year Horizon 2020 Marie Skłodowska-Curie Innovative Training Network initiative (H2020-MSCA-ITN-2020, grant agreement 955569). The central aim of the ODECO consortium network is to train the next generation of creative and innovative early stage Open Data researchers (ESRs), to unlock their creative and innovative potential to address current and future challenges in the creation of user-driven, circular and inclusive Open Data ecosystems. The programme will run from October 2021 to September 2025 and will offer 15 PhD positions, with joint public-private sector supervision and training.

Geographic information is one of the hot topics in Open Data initiatives. The IAAA Lab (https://www.iaaa.es) of the University of Zaragoza (Spain) is a key stakeholder in the research on the management and exploitation of geographic information in Europe, and will host ESR 2 and 8.

APPLICATION DEADLINE, 01/09/2021 00:00 – Europe/Brussels

Additional details at:




(Biosciences) Fully-funded College of Science-Faculty of Science and Engineering PhD Scholarship 2021/22

Keeping pace with climate change: A global assessment of range shift dynamics of birds of prey

Project Supervisors:

Closing date: Wednesday 31st March 2021

Start date: 1 October 2021

Project description:

Climate change and land use intensification have caused geographical range shifts in many species worldwide. In the case of birds of prey (“raptors”), which tend to track the distribution of their prey, this can result in them moving to sub-optimal environmental conditions (in terms of temperature or flight conditions). Raptors are predicted to be particularly susceptible to these changes, as the occurrence of their prey is highly sensitive to environmental change. Range shifts have also been shown to impact the assembly of ecological communities and species interactions. An urgent challenge is therefore to understand how climate-driven range shifts impact birds of prey and the networks of ecological interactions they are embedded within.

The successful candidate will address this by creating a comprehensive picture of the range shift dynamics of raptors and their prey across the globe. The central goals of this project are (1) to understand changes in the distributions of raptors at large spatial scales and how these relate to environmental change; and (2) to unveil the effects of these biogeographical range shifts on food web structure and the consequences of this for raptor conservation. This work builds on previous work by Dr Lurgi on the effect of warming on trophic ecological interactions and food webs (Lurgi et al. 2012a,b).
The candidate will adopt an interdisciplinary approach incorporating food webs, raptor ecology, and biogeography. This will take advantage of the supervisory team’s expertise in the analysis of large datasets and food webs (Dr Lurgi), raptor ecology (Prof. Shepard), and species co-occurrence modelling (Dr Wells).

The candidate will join the Computational Ecology Lab and the Swansea Lab for Animal Movement at Swansea University; two thriving groups both undertaking interdisciplinary research. Additionally, they will have the opportunity to conduct part of their research in Grenoble with project collaborator Dr Wilfried Thuiller, an expert in biogeography (University of Grenoble Alpes / CNRS in France).

This project will help develop the candidate’s skills in critical thinking, data management and analysis, writing and communication. Potential applications emanating from the project are diverse, ranging from raptor ecology and conservation to the effects of species ranges shifts on ecological interactions. The candidate would therefore be well prepared for a future career in research within academia, government and non-government conservation agencies.

Competitive applicants should have:

• A BSc with a First or Upper Second Class (2:1) Honours, or a Master’s degree with Merit in quantitative ecology, computer science or a related discipline.
• An interest in ecological modelling, data analysis (including geospatial approaches) and conservation science.
• Strong time and data management and interpersonal skills.
• Evidence of good verbal and written communication skills.

In addition to the above, it is desirable that applicants also have:

• Experience with large dataset analysis and modelling (mechanistic and/ or statistical).
• Knowledge of programming languages such as R or Python, including the use of libraries for GIS data manipulation and analysis.


1. Lurgi M, López BC & Montoya JM (2012a). Novel communities from climate change. Phil. Trans. Roy. Soc. B, 367(1605), 2913-2922.
2. Lurgi M, López BC & Montoya JM (2012b). Climate change impacts on body size distribution and food web structure in mountain ecosystems. Phil. Trans. Roy. Soc. B, 367(1605), 3050-3057.


Candidates must have a First, Upper Second Class Honours or a Master’s degree with Merit, in a relevant discipline. Informal enquiries, including more information on the post and the research environment, and also submission of expression of interest before the deadline for formal applications are welcome by emailing Dr Miguel Lurgi (miguel.lurgi@swansea.ac.uk)

For candidates whose first language is not English, we require IELTS 6.5 (with 6.0 in each component) or equivalent. Please visit our website for a list of acceptable English language tests. We prefer candidates to have already met the English Language requirements at the point of application, although this is not a requirement.


This is a three-year fully-funded College of Science scholarship, which covers UK tuition fees at home rate and an annual stipend of £15,285 (2021-22). The studentship also includes a Research Training Support Grant allocation of £1,000 per annum for three years.


The call is open to students who are eligible to apply for postgraduate research tuition fees at home rate. For EU students, please notice the PGR Transitional Bursary Scheme for EU Students 2021/22 Entry:

How to apply:

Candidates must complete and submit the following documentation by the stated deadline. To apply for this studentship, please download and complete the research scholarship application form and return to the College of Science with the following:

  • Academic References – all scholarship applications require two supporting references to be submitted. Please ensure that your chosen referees are aware of the funding deadline, as their references form a vital part of the evaluation process. Please either include these with your scholarship application or ask your referees to send them directly to science-scholarships@swansea.ac.uk
  • Academic Transcripts and Degree Certificates – academic transcripts and degree certificates must be submitted along with the scholarship application by the funding deadline. We will be using these to verify your academic qualifications.
  • An up-to-date CV

Candidates should use the ‘Supplementary Personal Statement’ section of the application form to explain why the award they are applying for particularly matches their skills and experience and how they would choose to develop the project.

Please email the documents to science-scholarships@swansea.ac.uk and put ‘ECR BIOL 01/02 SCHOLARSHIPs 2021-2022’ in the email subject header.

PhD position in geo-computational exposure assessment modeling


PhD student: Developing a model of geo-computational exposure assessment for studying health effects of urban environmental risk factors in Exposome-NL (1.0 FTE)

Deadline: 30 October 2020

The environment we live in has a significant impact on our health, explaining an estimated 70% of the non-communicable chronic disease burden. A large number of environmental stressors may jointly affect our health. Leading scientists in Europe and the USA have formalized this perspective as the Exposome concept: the sum of all non-genetic drivers of health and diseases. Interacting with the genome, it defines individual health at different stages throughout the life course.

There is a need to scale up and generalize the different ways how the general external Exposome can be measured in terms of diverse (geo)data sources and (geo-)computational methods. Environmental factors have been modelled in different forms, including spatial fields (continuous value surfaces), spatial objects (discrete spatially bounded entities), events (spatially and temporally bounded entities) and networks (quantified relations between objects). In the past, approaches for different environmental stressors have been less systematic, ranging from simplistic point-in-polygon tests and buffer based approaches to network-based interaction measures on different computational platforms.

The ambition of this project is to generalize computational models over different sorts of data, spatial information concepts (field, object, event and network) and computing infrastructures (desktop-based, database, cloud-based, and distributed). This includes developing semantic models of the different sorts of environmental factors, data sources and problem sizes, as well as semantic models of the different geo-computational transformations needed for assessing exposure. It also includes an investigation into scalable computational infrastructures (such as parallelization and cloud computing) and prototypical implementations for deploying exposure models for large problem sizes.

We are looking for a colleague who has a completed Master’s degree in computational geoscience, data science, GIScience, computer science, or a related discipline, with a strong interest in environment and health. We prefer colleagues with experience in conceptual modeling of geographic information and GIS workflows. You will work in a multi-center study funded by the prestigious Gravitation programme of the Dutch research funding organization NWO. Exposome-NL is a 10-year research programme of multiple Dutch universities.

Best regards,

Simon Scheider

Human Geography and Spatial Planning
Universiteit Utrecht

Vening Meineszgebouw A
Room 6.16
Princetonlaan 8a
The Netherlands

+31 30 253 2966


PhD studentship at the intersection of GIScience and movement ecology

Sonar or Magnetism: exploring bat migration using a data science approach
We are looking for a candidate for a fully-funded interdisciplinary PhD studentship at the University of St Andrews, funded by the IAPETUS Doctoral Training Programme:

This project is at the intersection of GIScience and movement ecology: student will use data science to explore how migratory bats use information from Earth’s magnetic field for navigation. The student will fuse satellite geomagnetic data from ESA’s Swarm constellation with bat tracking data and then apply movement analytics to investigate migratory patterns.
The project is supervised by Urska Demsar (University of St Andrews), Ana Basiri (University of Glasgow), Ciaran Beggan (British Geological Survey), Jed Long (Western University, Canada) and Kamran Safi (Max-Planck Institute for Animal Behaviour, Germany)

We are looking for a student with an excellent degree (preferably MSc), potential prior research experience and experience in coding in Python. The competition is open to UK, EU and international students. The funding covers 3.5 years including tuition fees, maintenance stipend and research expenses.

For more information see: https://udemsar.com/2020/11/09/a-fully-funded-phd-studentship-in-giscience-ecology/

DL for expressions of interest is 10 Dec 2020.

Dr Urska Demsar
Senior Lecturer in Geoinformatics
School of Geography & Sustainable Development
University of St Andrews, Scotland, UK
@udemsar, https://udemsar.com/

Co-Director of the Bell Edwards Geographic Data Institutehttp://begin.wp.st-andrews.ac.uk/
Associate Editor, International Journal of Geographic Information Sciencehttps://www.tandfonline.com/toc/tgis20/current

Doctoral Position in Geoinformatics / Cartography at ETH Zurich

The Institute of Cartography and Geoinformation at ETH Zurich is searching for a highly motivated doctoral student for the interdisciplinary project EMPHASES.

The research topic will focus on the extraction and vectorization of features from historical maps by utilizing/improving Deep Learning/Computer Vision techniques.

Detailed information can be found at https://jobs.ethz.ch/job/view/JOPG_ethz_FmFxlyrC4uEwKRVEaR

Please, forward the offer to suitable candidates.

Thank you very much and kind regards

Magnus Heitzler

Two open PhD positions at Department of Physical Geography and Ecosystem Science, Lund University, Sweden

We have two open PhD positions at Department of Physical Geography and Ecosystem Science, Lund University, Sweden. 

Below are links to details of the two positions. 

Position-1: Doctoral student in remote sensing and ecosystem modelling (last application date: 30 September 2020)





Position-2: Doctoral Student in hydrological modelling and remote sensing (last application date: 15 September 2020)





We appreciate your help in spreading these announcements to suitable applicants. 

Best regards,

Zheng Duan


Zheng Duan

Department of Physical Geography and Ecosystem Science

Lund University, Sweden

Address: Sölvegatan 12, SE-223 62 Lund, Sweden

Office telephone: +46 46 2224083 (office) 

Webpage: https://www.nateko.lu.se/zheng-duan  

EPSRC Centre for Doctoral Training in Geospatial Systems – 3x 4-year PhD Studentships

University of Nottingham and Newcastle University, supported by Ordnance Survey, invites high-quality applications from UK and EU nationals for three fully funded 4-year (1+3) PhDs in the EPSRC Centre for Doctoral Training (CDT) in Geospatial Systems for September 2020 entry.

These are open to to UK and/or EU  applicants.
Details at https://www.nottingham.ac.uk/jobs/currentvacancies/ref/ENG1390

PhD position in Visual analytics of mobile behaviour data in digital cities @ University of Zurich

We have an open PhD position in the GIScience center, Department of Geography, University of Zurich on 
Visual analytics of mobile behaviour data in digital cities
For detailed information and online application, see https://apply.mnf.uzh.ch/positiondetails/3997698https://apply.mnf.uzh.ch/position/3997698
Please feel free to pass this notification on to potentially interested candidates.

Best regards,

Tumasch Reichenbacher, PhDSenior Lecturer
Group Leader Geovisual analytics and digital transformation   

Department of Geography
University of Zurich
Winterthurerstr. 190
CH-8057 Zurich, Switzerland

phone: +41 44 6355440

PhD position (1.0 FTE) for 4 years in Question-based Analysis of Geographic Information with Semantic Queries

The following vacancy for a PhD position in the QuAnGIS project is available at Utrecht University, NL (application deadline 16 February 2020):


Could you please forward this post to your network and to suitable candidates? The project is about question-answering (QA) on geographic information.

Best regards,

Simon Scheider

Human Geography and Spatial Planning
Universiteit Utrecht

Vening Meineszgebouw A
Room 6.16
Princetonlaan 8a
The Netherlands

+31 30 253 2966


U-Mass Amherst 1-year M.S. in GIST seeking applicants

The UMass Amherst Geography Program in the Department of Geosciences is  seeking applicants for the accelerated 1-year Masters in Geography –  Geographic Information Science and Technology (GIST) program for the  2020-2021 academic year.

The program is designed to provide a solid foundation and diverse set of  knowledge, skills and practices in geospatial technologies.  Highly-motivated students and professionals will emerge from the program  with applied experience and a broad GIS skillset applicable towards  diverse professional opportunities through rigorous coursework and  hands-on project opportunities. Core courses include Geographic  Information Systems (GIS), remote sensing, and spatial analysis with  optional course topics ranging from Cartographic Design and WebGIS to geospatial database management and unmanned aerial systems (drones).

Students in this program have the opportunity to engage with the  background in the science, techniques, and application of geospatial  skills, enabling them to embark on a public or private sector career in geography, planning, public policy, ecology, environmental science and other fields. Coursework is undertaken in both the Fall and Spring semesters with a required summer internship.

Courses in GIST at UMass-Amherst are offered at our Amherst campus and the Mt. Ida campus in Newton, MA.

For more information about the program, including the courses we offer, how to apply, and cost, please visit http://clicks.memberclicks-mail.net/wf/click?upn=8QsjVQ-2B3um7rWxLmpafxi8pSXkKP0LNtAFUlNCBJ4HqT44v45K1AygsfyWJvEpmjFv8fUYcZDuCzon87-2BdWT1Q-3D-3D_uZ8O0vGvxW8ycgP0EGD4dotdRQxMhdx7e-2FZD4PZ5iMyTUWNpEIqktOna-2FrHh7CcTNVY2B8GJCrVPMpZS5hpDcgW4x0XNpkAJmBzZUZn1pNAcIblm7OP293iHtF0L2BpUvaKvuGZHE1Mfi4bSupkABkq-2BVHSQ6a3eUL2DwhrYrh9-2F-2FSlsKaM-2FNF9iJTzf561k-2Fz25A7YlgQxQ27NIQz24z-2B8vifCyM2ffjlpX99LOFx5fAbIifojOg688t0Lu3e5yPXxMX41y-2Fi8Wfv0ADJqTBPXACpAMjEYGKlhFLTrzkef11dxeaE-2BDRCglhl7pW7HLbDyoTZEzqkI94XMdEXM5JShb63hfgIG24Z-2BITFtgMY4-3D or contact Dr. Forrest J. Bowlick at fbowlick@umass.edu.

We would love for folks to get their applications in by February 1st, 2020 but will also be accepting applications after that date.