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Phd Position in Earth Observation and Geospatial
vor 2 Wochen
Job announcement:
PhD position in Earth observation and
geospatial analysis in the context of climate
change and migration
We are recruiting a new PhD researcher at the Department of Geoinformatics of the University of
Salzburg in Austria, in the research project
_Climate-Induced Migration in Africa, and Beyond: Big _
_Data and Predictive Analytics (CLIMB)__._ This multidisciplinary research project is a cooperation
between social scientists from Malmö University and Harvard University, development organisations
(IPAR from Senegal and IDEMA from Turkey), experts for the analysis of mobile phone call detail
records (Data Pop Alliance), and us as experts for Earth observation and geospatial analysis.
Project rationale:
Climate change (interlinked with humanitarian crises and other economic and health factors) could
lead to internal resettlement, international migration, and other (new) forms of human mobility.
However, the empirical link between various climatic conditions and migration outcomes is highly
contested, and, to date, no unified theoretical approach can adequately capture the complexity and
contextual dependency of climate induced migration. To address this gap, CLIMB seeks to develop a
holistic approach which will allow us to better understand the mechanisms and pathways underlying
the climate-migration nexus, namely how climate change may intersect with conflicts, poverty, and
epidemics, among other adversities, and how these forces may operate in tandem in driving human
migration. As climate risks are more likely to affect mobility within administrative areas/countries,
CLIMB will adopt a bottom-up approach: rather than aiming for a global study, we will collect timely
and granular data on specific cases where the climate-migration nexus can be more apparent
conceptually and empirically.
Senegal is chosen as our first case study. The country is projected to
experience more extreme weather events which could force up to one million people to move by
2050.***
Your work:You will contribute to processing various climate and environment data to construct geospatial time
- series indicators to measure extreme climate conditions. Further, we plan to collect openly available
datasets on flooding, land cover, urbanization, active cropland, gridded population, and
demographics data for Senegal. These data will be included as climate factors for our migration
model. We will also process population data in Google Earth Engine and map dwelling footprints in
VHR satellite images (e.g., from Maxar, Airbus DS, Satellogic, Planet) for selected locations. Activities
include:
- Stakeholder engagement
- Data management
- Quantitative data collection and analysis
- Processing and analyzing EO and spatial data
- Dissemination and communication
Your profile:
- MSc degree in geoinformatics, geography or related fields, or MSc degree in computer
- Experience with spatial data management, integration, and analysis
- Background knowledge on climate change in western Africa is a plus
- Background knowledge on migration is a plus
- Strong communication and stakeholder engagement skills
- Working language is English, French is a plus
Job conditions:
- Job announcement open until
15. May 2023
Starting date:
July 2023 or as early as possible
- up to 75% employment (30 hours/week)
- Initial contract duration is 36 months, with possibility for extension
- Remuneration according to the Austrian University collective bargaining agreement (fulltime
If you are interested in this position, please send your letter of motivation, CV incl. list of
publications, documentation of your highest obtained degree, and referee contact(s)
until
15 May 2023 to
Assoc.
Prof. Dr Stefan Lang, Head of GEOHUM
Department of Geoinformatics Z_GIS
Paris-Lodron-University of Salzburg
Schillerstr. 30, 5020 Salzburg, Austria
The Department of Geoinformatics - Z_GIS is a well-established centre of competence in GIScience,
active in research and education. Learn more about us in this video. Salzburg is a beautiful medium
- sized city, world-renown for its rich cultural scene, with a multitude of outdoor activities nearby.
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