Current statistical methodology still reflects the use-context of its first development in the 1920s: methods assume that researchers make all important analysis choices before gathering the data. In modern data science age, however, data-driven paradigms have become dominant: many measurements are gathered simultaneously and it is often natural to pursue research questions that were not of obvious interest a priori. Looking at the data is scientifically sensible to do, but the problem is that current statistical methods cannot handle this behaviour well. What is needed for this, is the right mathematical framework, that gives the necessary error control guarantees without all the old restrictive assumptions. In this PhD project you will develop such mathematical foundations by bringing together exciting novel developments in mathematical statistics and machine learning theory, among which: closed testing, bandits, and the new theory of hypothesis testing with e-values, co-developed by your supervisor Dr. Rianne de Heide.
You will:
- Perform daily PhD-level research
- Publish results in journals and conference proceedings, and present these at (inter)national workshops and conferences.
- Contribute to teaching activities related to your work.
- Be a part of an excellent young research group, and benefit from frequent (virtual) interaction with other internationally renowned research groups working on e-values, such as at CWI (Amsterdam), LUMC (Leiden) and in the US.
We are an inclusive group and diversity is at the heart of our research principles. We care about a good working atmosphere and a good work-life balance. Applications from all groups currently under-represented in academic posts are especially encouraged. We particularly encourage women and people from minority groups to apply.
Information and application
Are you interested in this position? Please send your application via the 'Apply now' button below before August 1 and include:
- A cover letter (maximum 2 pages A4), emphasizing your specific interest, qualifications, motivations to apply for this position.
- A Curriculum Vitae, including a list of all courses attended and grades obtained, and, if applicable, a list of publications.
- Contact information of two references who we may contact.
- Your master’s thesis, or in case it is not yet completed, one other document written in English of which you are the main author. This can be a publication, a term paper, or anything else that you wrote and consider relevant.
The interviews are scheduled for 19 Augustus 2024. If you are not available on this day, please indicate so in your application letter.
For more information regarding this position, you are welcome to contact Dr. Rianne de Heide (r.deheide@utwente.nl).
About the department
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
About the organisation
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.
