Postdoc position on Data enhanced physical reduced order Models
Postdoc @University of Twente posted 3 days agoJob Description
The position is embedded into a large-scale effort between academic groups in the Netherlands and industrial partners to reduce CO2 emissions in steel production using machine learning. You can find more information here. You will work on a theoretical and an applied project on data-enhanced physical reduced order models and will act as a data science expert for other consortium partners.
Information and application
Are you interested in this position? Please send your application via the ‘Apply now’ button below before September 10, 2025, and include:
- A full Curriculum Vitae. Your CV should demonstrate the scope of your work and education and indicate a good fit with the stated requirements for the position.
- A brief motivation letter (approximately 1 page), emphasising your specific interest and motivation to apply for a postdoc position in our group.
- An academic transcript of B.Sc. and M.Sc. education, including grades.
- Your PhD thesis.
Starting date of the position: flexible, currently aimed to start around February 2026.
For more information regarding this position, you are welcome to contact Dr. Silke Glas via the following email address: s.m.glas@utwente.nl.