Postdoc Position on Physical Reduced Models: The MAST-group at the University of Twente is seeking an enthusiastic researcher for a Postdoc position focused on the development of data-enhanced physical reduced-order models, collaborating with academic and industrial partners to reduce CO2 emissions in steel production using machine learning.
Postdoc Position on Data Enhanced Physical Reduced Order Models
Designation
Postdoctoral Researcher
Table of Details
| Details | Information |
|---|---|
| Research Area | Data Enhanced Physical Reduced Order Models |
| Location | University of Twente, Enschede, Netherlands |
| Eligibility/Qualification | PhD in Mathematics or similar field; knowledge of model reduction, physics, or chemistry is beneficial. |
| Job Duration | 18 months |
| Salary | Gross monthly salary: €3,378 – €5,331 |
| Deadline for Application | September 9, 2025 |
Job Description
- Engage in theoretical and applied research on data-enhanced physical reduced-order models.
- Serve as a data science expert for consortium partners.
- Collaborate in a multidisciplinary and international research environment.
- Demonstrate a commitment to addressing CO2 emissions in industrial applications.
How to Apply
Interested candidates should submit their applications via the ‘Apply now’ button before September 10, 2025. Include a CV, a motivation letter, and a list of publications.
Contact for More Information
For substantive inquiries about this position, please contact Dr. Silke Glas at s.m.glas@utwente.nl.
Last Date for Application
September 10, 2025
