진학프로석·박사 채용 접수 플랫폼

Are you enthusiastic about the chance to combine research in Geographic Information Science (GISc) — particularly in movement analysis — with teaching and student supervision? Have you recently earned a PhD in GISc and feel inspired to share your expertise with the next generation while advancing your own research and lecturing/supervision skills? If so, we invite you to read on!

The Geo-information Science team within the Laboratory of Geo-information Science and Remote Sensing (GRS) is an interdisciplinary research group dedicated to developing integrated approaches to geospatial systems analysis. Our team pushes the boundaries of how spatial data can be used to tackle today’s pressing environmental and societal sustainability challenges. We envision a future where high-quality, reliable geospatial information seamlessly connects disciplines and scales, driving more responsible and impactful decision-making. We advance integrative, data-driven approaches to spatial analysis for the purpose of supporting decision-making for resource management. We use methodological innovation and participatory approaches to address complex challenges, including global change. Bridging interdisciplinary boundaries enables us to conduct impact-oriented research, by using geo-information as a tool for collaborations bringing together research, society, and policy actors and interests.

As we expand our teaching capacity, we offer an exciting opportunity to combine your passion for education with cutting-edge research: you will divide your time in equal shares between teaching GISc at bachelor and master levels, and advancing research about the integration of statistical movement models with predictive simulation models. Specifically, you will develop step selection functions based on a large tracking dataset of African herbivores to quantify the animals’ selection for thermal shelter versus resource availability. You will then develop a procedure to translate these quantified relationships to a predictive agent based model for the investigation of animal movement behaviour under future climate scenarios.

We also encourage you to integrate your research and derived examples in your teaching. By involving students in research projects and taking research examples to the classroom, we aim to strengthen the quality of our study programs. There is room for the development of your own research vision and the strengthening of your didactic skills, to build a strong academic CV.

Your duties and responsibilities include:

• • Conduct research on the integration of step selection functions with agent based models.
• • Publish your findings in peer-reviewed scientific journals and present your results at conferences.
• • Lecture on Geo-information Science in BSc and MSc courses offered by the GRS chair group.
• • Guide students through practical exercises that apply GIS concepts using various open- and closed-source software solutions.
• • Introduce students to the fundamentals of spatiotemporal data science and machine learning using scripting languages.
• • Supervise BSc and MSc thesis students conducting research in Geo-information Science.

You will work here
The research is embedded within the Laboratory of Geo-Information Science and Remote Sensing (GRS), which is led by Prof. Kirsten de Beurs and Prof. Sytze de Bruin