About the opportunity
The University of Twente, Faculty ITC, is seeking a Doctoral Candidate to work on the ITEM (Infrastructure Twente for Ecosystem Monitoring) initiative. The role involves developing an open, explainable, and GeoAI-supported framework for the temporal integration of Earth system models with observational data from a spatially distributed sensor network and Earth observation imagery to model environmental processes like air quality, heat, or drought across various land cover types and scales. The successful candidate will conduct research, publish results in scientific outlets, present at conferences, and contribute to teaching and mentoring MSc students.
Salary and benefits
- Gross monthly salary from €3,059.00 in the first year to €3,881.00 in the fourth year.
- Holiday allowance of 8% of the gross annual salary.
- Year-end bonus of 8.3%.
- Full-time position for four years with a qualifier after 6–9 months.
- Professional and personal development programme within Twente Graduate School.
- 41 holiday days per year for full-time employment.
- Solid pension scheme.
- Excellent research support and facilities for professional and personal development.
Who can apply?
- MSc in math, physics, climatology, physical geography, or a related field.
- Experience with at least one field of quantitative (satellite) earth observation (e.g., radiative transfer modelling, data-driven (ML/DL) modelling, time-series, data assimilation).
- Good programming skills in C, C++, Python, or other languages relevant to geodata analysis.
- Proficiency in written and spoken English.
- Ability to conduct independent research and field data collection.
- Creative mindset, strong problem-solving and analytical skills.
- Interest in cross-disciplinary research and a good team spirit.
Required documents
- Motivation letter (maximum 2 A4 pages) emphasizing specific interest, qualifications, and motivation.
- Detailed CV including contact details of at least one reference person.
- Academic transcript of BSc and MSc education, including grades and a short description of the MSc thesis.
- Online link to an example of technical writing (journal publication or thesis), if applicable.
- Link to codes/programs written by the applicant, if applicable.
When to apply
- Submit application before 1 September 2026.
- Deadline: 31 August 2026.
- Interviews will take place in the week of 14 – 18 September 2026.
How to apply
- Apply online by uploading a CV and motivation letter and/or list of publications.
- The selection committee reviews applications; responses are sent within 2 weeks after the vacancy closes.
- First interview (online or in person) serves as an introduction and may include a short presentation.
- Second interview to discuss job content, skills, and talents.
- Final offer and screening process.
Our Take on This Opportunity
This section reflects Open Opportunities’ own analysis of the opportunity from an applicant’s perspective.
You may be a strong fit if…
- MSc graduates in math, physics, climatology, or physical geography.
- Candidates experienced in GeoAI, radiative transfer modeling, or data-driven machine learning.
- Individuals proficient in C, C++, or Python for geodata analysis.
What should you think carefully about?
- The position is strictly on-site in Enschede, necessitating relocation if the candidate is not already local.
- The role includes teaching and mentoring responsibilities, which may be a significant time commitment alongside research.
- Candidates should be prepared for a 6-9 month qualifier period to confirm their candidacy.
How could this fit your current goals and plans?
This doctoral position is a prime opportunity for someone looking to specialize in the intersection of GeoAI and Earth system modeling. It provides the resources and academic environment necessary to produce high-impact research while gaining valuable experience in teaching and scientific publishing.
Our take
This is a compelling role for researchers interested in the temporal integration of environmental data; those seeking remote work or a purely research-focused role without teaching duties may find it less suitable.
Ready to apply?
Review the opportunity on the official website before applying.
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