Assistant/Associate Professor in Mathematics of Scientific Machine Learning

We offer a position in the Mathematics of Imaging & AI group  within the Department of Applied Mathematics (AM) at the University of Twente (UT). We are looking for a highly committed research scientist whose focus is at the interface of data science and nonlinear analysis of PDEs and inverse problems. This includes for instance the theory of uncertainty quantification, harmonic analysis, geometric deep learning or data-driven reduced modelling with impact in the mathematics of scientific machine learning.

You will actively develop your mathematical profile as well as collaborations within the multi-disciplinary research context at the UT; for example, within the MDS or SACS clusters, the Digital Society Institute (DSI) or within the TechMed Centre . On a national level you will be supported by the NWO sectorplan Beta and will profit from engagement in a strategic research initiative (SRI) on “Bridging Numerical Analysis and Machine Learning” of the 4TU Applied Math Institute or the national NWO AI & Mathematics network .

You will be involved in the teaching program of the department of Applied Mathematics at the Bachelor and Master level, and the department also supplies service teaching to other programmes and faculties. and you will transfer your specific expertise to the master program.[BB1]  During the first three years, you will acquire the University Teaching Qualification (UTQ). The research and teaching share is 50/50, with a reduction of teaching to 30% during the first three years.

Are you ready to take on this challenge and join our team?

Please submit your application before April 20, 2024 using the 'Apply now' button below, and include:

• a curriculum vitae;
• a list of publications;
• a research and teaching statement;
• and three names of potential references.

Interviews will take place on May 24, 2024. Please indicate in your application if you are not available on that day.

You are welcome to contact prof.dr. Christoph Brune (phone +31 534893384, email [email protected]) for more information.

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.