Artificial intelligence is increasingly being used in medical applications, supporting doctors and other medical professionals in their work, facilitating the analysis of medical images and other data, for more rapid, comprehensive and accurate diagnosis, guidance of surgeries and more. Today, deep learning methods are achieving excellent results on many medical imaging problems, resulting in highly accurate segmentation, recognition, classification, anomaly detection. However, they do not always generalize, meaning they fail when faced with a dataset from a different source (e.g. a different brand of scanner). More generally, they face challenges with so-called Out-of- Distribution (OOD) data or display overly optimistic results on data similar to the training dataset, indicating possible shortcuts and overfitting. This is particularly critical in applications like medical imaging, where data distribution drift may occur due to different imaging protocols, minor change in images obtained from the same modality but different machines, various artifacts. Anomalies and unseen pathologies may further confound the validity and reliability of results.
Your task would be to investigate and improve the robustness and generalizability of AI for medical imaging applications. This may involve the effective detection of out of distribution data or outliers, as well as the development of reliable, generalizable visual analysis solutions for various medical image classification, segmentation, and anomaly detection problems, also in collaboration with medical experts and hospitals.
Your profileAre you interested in this position? Please send your application via the 'Apply now' button below before May 31 , and include:
For more information regarding this position, you are welcome to contact Alexia Briassouli at [email protected].
About the departmentAt the University of Twente, we stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which leads change, 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 programmes. We have a strong focus on personal development and talented researchers are given scope for carrying out groundbreaking research.
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.
The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) comprises three disciplines that shape Information and Communication Technology. ICT is more than communication. In almost every product we use mathematics, electronics and computer technology and ICT now contributes to all of societies' activities. The faculty works together intensively with industrial partners and researchers in the Netherlands and abroad and conducts extensive research for external commissioning parties and funders. The research which enjoys a high profile both at home and internationally, has been accommodated in the multidisciplinary research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.
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? Briassouli, A. (Alexia)Assistant Professor
Briassouli, A. (Alexia)Assistant Professor
Do you have questions about this vacancy? Then you can contact Alexia 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:+31534896985
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.
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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. If applicable, we will sign you up for screening.
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