PhD position on statistical theory for deep learning based image classification
Universiteit Twente
Hours40 hr.Salary indicationSalary gross/monthly
based on full-time€ 2,872 – € 3,670Deadline6 Sep 2024From recognising faces to diagnosing diseases, convolutional neural networks (CNNs) excel in image recognition. However, their lack of theoretical understanding poses the risk of unexpected behaviour. How do CNNs detect and classify objects? To address this, we must first step back and ask: What is the appropriate model for analysing image classification? What are the properties of CNNs? How do they learn?This PhD project seeks to shed light on these questions by applying statistical theory. You will investigate the theoretical properties of various network architectures, assess how network depth influences performance and delve into the learning processes of CNNs. Applications to medical image data will connect the derived theory with practical applications.The UT and the faculty EEMCS are inclusive toward underrepresented groups and strive to increase the proportion of female staff. Female applicants are particularly welcome.Your profile
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Information and applicationAre you interested in this position? Applicants are welcomed to submit their application before 07th of September, 2024 via the ‘Apply now’ button. Please include in your application
For more information regarding this position, you are welcome to contact Sophie Langer via s.langer@utwente.nl for all substantive questions about this position and the application procedure. For questions about what a PhD at the University of Twente might look like, you can contact one of our Postdocs/PhD students listed under “Your colleagues”.Share this vacancyAbout the departmentThe position will be in the Applied Mathematics department. The Applied Mathematics department has an active research portfolio in stochastic operations research, algorithmic discrete mathematics, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic, and imaging. See and , and for information.The research focus of our Statistics group is on the development of statistical methodology for new data applications and the theoretical analysis of machine learning methods in particular deep learning. See https://www.utwente.nl/en/eemcs/stat/ for more details and a list of our group members.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?Langer, S. (Sophie)
Associate ProfessorLanger, S. (Sophie)
Associate ProfessorDo you have questions about this vacancy? Then you can contact Sophie for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.
Enschede, Overijssel
Thu, 22 Aug 2024 04:55:51 GMT
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