Application deadline: 31 March 2019
You will mainly teach Masters level coursework, supervise MSc theses, and contribute to the development of new courses including face-to-face, blended learning, and distance learning, preferably based on open source solutions. You will undertake educational management and administration tasks within the department. You will acquire and/or participate in educational and capacity building projects.
- You possess an MSc or PhD in geographic information science or a topic related to one of the three core GIP domains (see below).
- You have proven expertise in at least one of the following three core domains of the GIP department: geodata engineering (e.g. linked data, NoSQL, and distributed processing environments), geo-visualization (e.g. interactive dashboards, web mapping, 3D, and augmented or virtual reality), and spatiotemporal analytics (e.g. online and deep learning or other scalable approaches to build data-driven models using artificial intelligence and/or machine learning).
- You have a proven track record of working with different geo-computational tools and have sufficient knowledge of Python to teach programming skills. Knowledge of other programming/scripting languages and/or of cloud computing is an advantage.
- You are a team player able to combine and extend the current knowledge and know-how on the three core departmental domains.
- You have an aptitude for teaching, including lecturing and tutoring at an academic level. If you do not have it yet, you will have to acquire a University Teaching Qualification within the first two years.
- You have an affinity with a multi-cultural, post-graduate education environment.
- You have a willingness to undertake international travel to less developed countries.
- You will have an excellent command of English. Knowledge of, or willingness to learn Dutch is an advantage.
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