Research School for Socio-Economic and
Natural Sciences of the Environment
Research School for Socio-Economic and
Natural Sciences of the Environment

Assistant Professor Complexity Science for Sustainable Development, Twente University

Application deadline: 4 May 2019

The Department of Governance and Technology for Sustainable Development (CSTM), University of Twente (UT), the Netherlands, invite applications for an Assistant Professor position in Complexity Science for Sustainable Development. The Assistant Professor will be embedded within the Faculty of Behavioural, Management and Social sciences (BMS) and will be part of the BMS Resilience Research Program. The latter unites researchers from various social sciences with a shared focus on technology and computational methods to explore how individuals, communities, cities or regions withstand, cope, adapt and continue developing in the face of gradual stress, abrupt shocks or disruptive innovations. The BMS Resilience Research Program does so by using computational methods – data analytics, agent-based modeling, gaming and visualization (see also BMS Tech4people Lab) – as research tools in developing solutions towards the UN Sustainable Development goals. An ideal candidate will share an emphasis on computational methods and sustainable urban-regional development challenges. The new Assistant Professor could also connect to the 4TU.Federation strategic research program on resilience of social-technical-environmental systems ‘Designing Systems for Informed Resilience Engineering’ (DeSIRE). For more details refer to: https://www.utwente.nl/en/bms/cstm/vacancies/

Job description

Your key job responsibilities include:

  • Research: collaborate within the Department, Faculty and University on developing a ‘Complexity Science for Sustainable Development’ research line, resulting in high quality journal publications and national and international scholarly visibility. Co-supervise PhD students towards a successful completion and disseminate research outcomes at international conferences.
  • Education: undertake teaching at different levels, contribute to existing programs and help developing them further (e.g. MSc course Multi Agent Systems; MSc Environmental and Energy Management, BSc Management, Society and Technology program and MSc Public Administration programs). Supervise BSc and MSc students.
  • Valorization: attract research funding individually and collaboratively to underpin high quality research and the potential for an impact beyond academia. Proactive engagement with governmental organizations and private sector is encouraged. UT provides support with preparing VENI/VIDI and ERC proposals.
  • Organization: Contribute to organizational / administrative activities and committees within the CSTM Department and the BMS Faculty.

Your profile

You are a highly motivated and qualified academic who has an ambition to combine cutting edge research and innovative teaching in the rapidly evolving area of complex adaptive systems.

  • You hold a PhD degree in environmental economics, environmental sciences, statistics or computer sciences
  • You preferably have international research experience and experience as a post-doctoral researcher;
  • You have a track record in either agent-based modelling/multi-agent systems, machine learning, network science or other complex systems methods;
  • You are have a strong interest in driving a research agenda that contributes solutions to Sustainable Development Goals;
  • You deliver high quality research as proven by your publication record in peer-review journals;
  • Experience with computational methods in applications to climate adaptation / mitigation, urban / regional resilience, or spatial modelling is an advantage;
  • You preferably have teaching experience;
  • Experience in acquiring grants will strengthen your application;

You have good communication and presentation skills, and an excellent command of English.

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Wednesday 20 March 2019