Assistant or Associate Professor in Complex Systems and Urban & Regional Modelling
On-siteHeerlen, Limburg, The Netherlands
Job Summary
Initiate and develop research in urban and regional modelling while applying quantitative, computational, or spatial approaches to sustainability and regional development challenges. Balance teaching responsibilities by delivering courses in complex systems theory and modelling, coordinating curriculum innovation, and applying problem-based learning methodologies. Supervise theses and mentor students within an interdisciplinary education framework, building collaborations across research groups, study programmes, and external partners. Work alongside colleagues from the Urban Sustainability Studies programme and the Brightlands Institute for Smart Society to strengthen complex systems thinking in the Faculty of Science and Engineering.
Required Qualifications
- PhD in a relevant technical or computational field, such as complex systems, data science, urban systems, spatial modelling, engineering, geography, computational social science or a related discipline
- Ability and ambition to develop an independent research line
- Strong conceptual understanding of complex systems theory
- Experience with quantitative, computational or spatial modelling approaches that can be applied to urban and regional systems
- Experience in, or a clear affinity for, interdisciplinary teaching and student-centred approaches
- Motivation to contribute to course and curriculum development
- Motivation to build new initiatives, develop a research line and contribute to an emerging academic environment in Heerlen
- Ability to thrive in collaborative settings and connect across disciplines, study programmes and research groups within the faculty and beyond
- 12-month contract (1,0 fte) with the prospect of a permanent contract based on mutual satisfaction
- Gross monthly salary between €4925,00 and €8199,00 (based on full-time employment of 38 hours per week)
- 8% holiday allowance and an 8.3% year-end bonus
- 29 vacation days (based on full-time), four additional days off (Carnival Monday and Tuesday, Good Friday, and Liberation Day), and the possibility to accrue up to 12 extra days through compensation hours
- Flexible working hours, a home office allowance, and the option to work from home
- Freedom and space to shape your work independently and develop your ideas
- Close-knit community of colleagues to collaborate and grow with
- Solid pension plan via ABP, company fitness schemes, and access to various university sports facilities
- Inspiring work environment in the heart of Europe
- Based in Heerlen and actively contribute to the academic community there
- Collaboration with colleagues from the faculty's other research departments and study programmes in Maastricht, Sittard-Geleen and Venlo
- Outline (max 1 A4) key ideas for research and teaching in complex systems modeling
Desired Qualifications
- Enthusiasm for building something new
- Helping shape an emerging research cluster in Heerlen
- Developing and applying modelling approaches to urban and regional challenges, including questions related to sustainability and regional development
- Connecting complex systems perspectives with innovative interdisciplinary education
- Balancing teaching and research, contributing substantially to both
- Initiating and developing research in urban and regional modelling and contributing to the emerging research cluster in Heerlen
- Teaching courses in complex systems theory, urban sustainability, complex systems modelling and related fields
- Coordinating and contributing to course development and curriculum innovation
- Supervising theses and mentoring students in their academic development
- Applying and further developing problem-based learning (PBL) methodologies in your teaching
- Building collaborations across research groups and study programmes and with relevant external and regional partners
- Working alongside colleagues from the Urban Sustainability Studies programme, the Department of Advanced Computing Sciences and the Brightlands Institute for Smart Society (BISS)
- Working across academic boundaries, connecting research, teaching and regional engagement
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