Vacancy – Postdoc Amsterdam Institute of Advanced Metropolitan Solutions (AMS)

Vacancy- Postdoc Amsterdam Institute of Advanced Metropolitan Solutions (AMS)

Location: Wageningen
Scientific field: Natural Sciences
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For the original vacancy click here.

We are looking for

The candidate will participate in the Data Science Enabling Technology (DSET) project funded by the Amsterdam Institute of Advanced Metropolitan Solutions (AMS) and Wageningen University & Research. The research of the candidate will focus on the development of a ‘city simulator’ which is an Agent Based Modelling platform targeted to simulate urban processes in which human behaviour and human decision-making are crucial. The main task of the postdoc is to develop and apply methodologies to formalize human behaviour in space and time and implement it in an ABM environment. Interest in and the willingness to study social processes  and human behaviour is therefore crucial.

Additionally we expect the candidate to participate in, and contribute to our education. This means that on average 25% of the time will be spend on teaching courses within the MSc Geo-Information Science  and supervising MSc-thesis students.

We ask

We are looking for a postdoc holding a PhD degree in e.g. Environmental Sciences, Data Science, Computer Science or Urban related Sciences. The candidate should have affinity and/or experience with: spatial analyses, data analyses, GIS, Agent Based Modelling (ABM), and Complex Adaptive Systems (CAS) concepts.

Further requirements: excellent oral and written communication skills in English, and a passion to lecture and supervise students. She/he should have a track record of chapters in scientific monographs and publications in scientific journals. Experience with programming in Java, Python, or R is a requirement. Experience with ABM development platforms such as GAMA or Repast and knowledge of GIS such as ArcMap are an advantage.

We offer

We offer a full-time (38 hours per week) appointment (part-time negotiable)  for 2 years commencing as soon as possible. Maximum salary amounts € 4691,-  a month (gross, scale 11) based on full-time employment. Salary depends on relevant experience and knowledge.

More information

Additional information about the vacancy can be obtained from Arend Ligtenberg  information about the terms of employment can be obtained from Patty van Beek, HRM-advisor,

Applications for this position should be submitted before 15 March 2017.

Please do not send your application directly to Ms. Van Beek or Dr. Ligtenberg.

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We are

We are the laboratory of Geo-Information Science and Remote Sensing is part of the Department of Environmental Sciences of Wageningen University & Research.

The department of Environmental Sciences of Wageningen University provides fundamental research and academic education on our living environment: nature, landscape, land usage, adaptation to climate change, water and ocean management, and the various competing claims on space. This also includes biodiversity and the sustainability of management and production. Wageningen University is part of the Wageningen University and Research concern.

The mission of our laboratory is to advance spatial competences for a sustainable world through research and education. The education that conveys this mission is offered in a variety of BSc programmes of Wageningen University and concentrated in the MSc Geo-information Science of Wageningen University and the joint MSc in Geographical Information Management and Applications (GIMA). The research of the laboratory has a fundamental character with a clear link to the mission of Wageningen University to provide Science for Impact. Our research agenda is represented in five themes: 1) Sensing and measuring, 2) Modelling and visualization, 3) Integrated land monitoring, 4) Human-space interactions, and 5) Empowering agro-environmental communities. In most recent external evaluation (2015), an international committee assessed our research quality by an excellent score. The laboratory is very international in terms of staff and student composition.


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