Geospatial Artificial Intelligence – or GeoAI – is becoming increasingly applied in fields such as urban planning, sustainable land use, disaster risk management, ecosystem monitoring, and understanding and predicting climate change. GeoAI can be a powerful and accessible tool to address environmental and societal problems. Yet applications of GeoAI are often criticised for being complex “black boxes” and augmenting social inequalities. Responsible GeoAI addresses this challenge by integrating principles such as privacy, accountability, safety & security, explainability, inclusivity, human control, and professional responsibility. The latter includes open and reproducible research and methods as well as critical evaluations of technological systems.

Responsible AI is still underrepresented in GeoAI. This vacancy strives to address this gap by integrating Responsible AI practices into geosciences. Research themes may include: helping establish Responsible AI guidelines for GeoAI; developing Responsible AI methods for GeoAI; developing hybrid models that combine AI models and physical models; reflecting when AI is needed and how to efficiently communicate modelled results to end-users. This vacancy will also strive to integrate responsible AI thinking in and for geo-education. The above principles and themes should be used as a guiding framework, though the position is not encouraged to address all of them.

ITC is already working on GeoAI practices for a wide range of applications. All these applications can benefit from integrating Responsible AI practices in their data processing methods. The successful applicant will select the theme(s) of Responsible GeoAI which resonate most with their experience and collaborate closely with colleagues in various departments of the faculty to develop them further.

You will develop a research direction and educational profile aligned with the ambitions of ITC, the University of Twente, and the Dutch Earth and Environmental Sciences sector. You will contribute to our MSc programmes, co-supervise graduate students (MSc and PhD) and work with our E-Learning specialists to develop innovative online educational materials.

You will take ownership of coordination and management tasks as well as take an active approach towards strengthening our national and international network, in particular in the wider Earth and Environmental Sciences domain in the Netherlands.

YOUR PROFILE

  • A PhD degree in Geographic Information Science, Remote Sensing, Data Science, or a related field
  • Passion for education, supervising graduate students, and the ability to develop high-quality education materials; demonstrated experience in these components is an advantage, but not required
  • Embrace Open Science and FAIR data principles
  • Curiosity about translating your research into practical applications and collaborating with partners
  • Curiosity about contributing to the capacity development mission of ITC and willingness to undertake international travel to low- and middle-income countries
  • A team-work mentality; you enjoy collaborating to develop high-quality research outputs
  • Excellent command of English. Knowledge of, and/or willingness to learn Dutch is an advantage

OUR OFFER

  • An inspiring multidisciplinary, international and academic environment. The university offers a dynamic ecosystem with enthusiastic colleagues in which internationalization is an important part of the strategic agenda
  • Position for initially one year (full-time), after which your position can become permanent, subject to a successful evaluation
  • Gross monthly salary between € 4,332.- and € 4,786.- (depending on experience and qualifications, job profile Assistant Professor, level 2). This is the maximum start salary with growth opportunities
  • A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%
  • Excellent support for professional and personal development
  • A solid pension scheme
  • A total of 41 holiday days in case of full-time employment
  • Costs for moving to Enschede may be reimbursed

INFORMATION AND APPLICATION

For more information, you can contact Dr Caroline Gevaert (e-mail: c.gevaert@utwente.nl) or Prof Andy Nelson (a.nelson@utwente.nl). You are also invited to visit our homepage.

1st round (online) interviews will be held on 23 and/or 24 October 2023; 2nd round (onsite) interviews will be held on 2 and/or 3 November 2023.

Please submit your application before 30 September 2023. Your application has to include (i) a letter outlining your motivation and fit for the position, and (ii) a CV with two references.

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