The statistics research group at the University of Twente invites applications for two postdoc positions (up to 3 years) and for one PhD (four years). These positions are part of an ERC consolidator grant. The aim of the research program is to generalize the recent statistical theory from artificial neural networks to biological neural networks. While deep learning is inspired by the functioning of the brain, there are distinctive differences in terms of the underlying network structures and the learning. If the research is successful, it has the potential to provide insights into how the brain learns and may lead to recommendations on how to make AI more efficient with less data. The project is one out of four ERC CoG 2023 projects, that have been highlighted by the European Research Council.
Your profileInterested to be part of our team? Applicants are welcomed to submit their application before the 1st of March 2024 via the ‘Apply now' button. Please include in your application:
For further information about these positions, please contact Johannes Schmidt-Hieber, [email protected].
Starting date of the position: After May 1, 2024.
About the departmentStatistics Research Group Twente: The research focus of the statistics group is on the development of statistical methodology for new data applications and the theoretical analysis of machine learning methods, in particular neural networks. A list of members of the statistics group can be found here. The statistics group is embedded within a larger data science initiative at the University of Twente's department of applied mathematics.
We stand for life sciences and technology, high tech and human touch, education and research that matter, new technology that leads change and innovation and progress in society. The University of Twente is the only campus university of the Netherlands; divided over five faculties we provide more than fifty educational programs. We have a strong focus on personal development and talented researchers are given scope for carrying out groundbreaking research.
The EEMCS faculty comprises three subject areas that shape Information and Communication Technology. ICT is more than communication. In almost every product we use mathematics, electronics and computer technology contributing to all of societies' activities. The faculty works together intensively with industrial and medical partners.
The Department of Mathematics has as objective to develop mathematics in the context of important societal problems. We do fundamental research and also encourage and support interdisciplinary collaborations. In applications we focus on systems that are crucial to every-day life. We contribute to smart grids that make energy networks more efficient, mathematical models that assist medical doctors, schedules that make hospitals more efficient and numerical schemes to study multiscale fluid problems and wave propagation from nano to kilometer scales.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. Because of our diversity values we do particularly support women to apply.
About the organisationThe 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.
Want to know more? Schmidt-Hieber, A.J. (Johannes)Full Professor
Schmidt-Hieber, A.J. (Johannes)Full Professor
Do you have questions about this vacancy? Then you can contact Johannes for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.
ContactPhone:+31534896958
Email:[email protected]
How to apply Step 1Apply. When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.
Step 2Selection. The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.
Step 31st interview. The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.
Step 42nd interview. In the second interview, we will further discuss the job content, your skills and your talents.
Step 5The offer. If the conversations are positive, you will be made a suitable offer.
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