The statistics research group at the University of Twente invites applications for three fully funded PhD positions in statistics. The successful PhD candidates will conduct research in one of the following three research themes:
- Statistical theory for deep neural networks – Why is deep learning so powerful and when does it break down? In the past years there has been a lot of progress on building a statistical foundation that can answer these questions. But still many unsolved problems remain.
- Statistical methodology for nano-scales – We are working on several challenging statistical problems related to recent advances in nano-optics and cell biology. Statistical methods are developed within interdisciplinary collaborations with the labs. We also develop the underlying statistical theory to prove that these methods indeed perform well.
- Statistical learning theory with applications to time series forecasting – Ensemble learning algorithms such as boosting, bagging and random forests are known to enhance computational efficiency while still providing good statistical reconstructions. In this research theme, ensemble learning methods are investigated for time series data with a focus on change-point problems and long-range dependent time series.
The successful candidate may also be involved in teaching activities.
- You are an enthusiastic and highly motivated researcher;
- You have, or will shortly, acquire a master degree in the field of Statistics, Mathematics, Computer Science, or similar;
- You have a creative mindset and excellent analytical and communication skills;
- You have a good team spirit and like to work in an interdisciplinary and internationally oriented environment;
- Background knowledge in at least one of the above mentioned topics will be valued;
- You are fluent in English.
- A full-time PhD position for four years within a very stimulating scientific environment;
- Full status as an employee at the University of Twente, including pension and health care benefits;
- Gross salary ranging from € 2.395,00 (1st year) to € 3.061,00 (4th year) per month, plus holiday allowance (8%) and end-of-year bonus (8.3%);
- Good secondary conditions, in accordance with the collective labor agreement for Dutch universities (CAO-NU);
- Extensive opportunities for professional and personal development;
- A green and lively campus, with excellent sports facilities and many other activities.
We encourage a high degree of responsibility and independence, while collaborating with colleagues and researchers from various disciplines, and partners from industry.
Information and application
Interested to be part of our team? Applicants are welcomed to submit their application via the 'Apply now' button below until April 15, 2021. Please include in your application:
- A motivation letter, emphasizing your specific interest and motivation to apply for a PhD position in our group.
- A full Curriculum Vitae. Your CV should demonstrate the scope of your work and education and indicate a good fit with the stated requirements for the position.
- An academic transcript of B.Sc. and M.Sc. education, including grades.
- A short description of your master thesis/final project.
The starting date is as soon as possible. Interviews will be scheduled on April 27th and 29th, 2021, please take this into account.
For further information about this position, please feel welcome to contact Johannes Schmidt-Hieber, email@example.com, Katharina Proksch, firstname.lastname@example.org, Annika Betken, email@example.com and Hanyuan (Hans) Hang, firstname.lastname@example.org.
About the department
Statistics 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 deep learning. A list of members of the statistics group can be found here. The statistics group is embedded within the department of Applied Mathematics at the University of Twente.
About the organization
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.
As an employer, the EEMCS Faculty offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With our Faculty, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customizable conditions.
University of Twente (UT)
University of Twente (UT) has entered the new decade with an ambitious, new vision, mission and strategy. As ‘the ultimate people-first university of technology' we are rapidly expanding on our High Tech Human Touch philosophy and the unique role it affords us in society. Everything we do is aimed at maximum impact on people, society and connections through the sustainable utilisation of science and technology. We want to contribute to the development of a fair, digital and sustainable society through our open, inclusive and entrepreneurial attitude. This attitude permeates everything we do and is present in every one of UT's departments and faculties. Building on our rich legacy in merging technical and social sciences, we focus on five distinguishing research domains: Improving healthcare by personalised technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world.
As an employer, University of Twente offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With us, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customisable conditions.