Stochastics (STO):
The section comprises chairs in probability, statistics, and stochastic operation research. It is one of the three sections with Mathematics of the Department of Mathematics and Computer Science.

The research program in probability studies random spatial structures and its applications in statistical physics and networking, with a focus on random networks, spin systems and self-interacting random processes. The main aim is to identify the scaling behavior for these systems, by applying methodology such as large deviations, combinatorial expansions and coupling techniques.

The research program in statistics develops, studies and compares statistical methods for collecting and analyzing complex structured and multivariate data sets. These methods include parameter estimation, Bayesian analysis, model fitting, latent variable models, mixed models, missing data, process control, survival & reliability theory, time series analysis, statistical learning methods, and causality. Among the central themes is the analysis of high-dimensional temporal data sets and other large data sets, but analysis of small data sets are not neglected. The research is driven and inspired by applications from engineering and health and life sciences. The group actively explores new research lines in Data Science and maintains many strong ties with industry, including biopharmaceutical companies, chemical industry, high-tech companies and medical centers.

The research program in stochastic operations research focuses on systems that operate in the presence of randomness. It aims at developing mathematical models and methods for the design, analysis, optimization and control of such systems. A large part of the research effort is devoted to queueing theory and the analysis of random walks related to it. Some of the queueing research is of a fundamental nature, andmuch of it is inspired by problems in production and logistics and in computer-communication systems.

Positions in Statistics:
The statistics group collaborates intensively with national and international scientific research groups from different data science disciplines (mathematical statistics, industrial statistics, biostatistics, chemometrics, epidemiologists, etc.) The statistics group is interested in both theoretical and applied work. Additionally, the group has a strong industrial network with large (Dutch) industries and institutes to be able to fuel and implement their research. Through the existing collaborations, the statistics group has access to a few relevant (high-frequent) multivariate longitudinal data sets that provides some interesting analysis challenges that are in need of a solution. The group is also trying to modernize its  teaching concepts by using new teaching approaches.

The statistics group has a vacancy for a tenure-track assistant professorship.

The tenure-track assistant professor is expected to perform relevant research in the area of statistics of the statistics group to help build and strengthen the team. He/she is  also expected to play a dominant role in the unique joint research and education programs of the data science initiative of Eindhoven University of Technology and Tilburg University (JADS: https://www.jads.nl/). Furthermore, the assistant professor candidates will teach statistics to students from different origins (mathematics, computer science, data science, and other engineers). The tenure-track candidate should obtain funding for statistical research through grant applications and/or through industrial collaborations. The tenure-track candidate is supposed to work in close collaboration with the head of the statistics group. Limited administrative tasks in the Department will also part of the job.

The tenure track assistant professor has a PhD degree in statistics (or closely related field) and has a specialization preferably in the areas of the statistics group mentioned above. The tenure-track has a few years of post-doc experience. The tenure-track candidate has published in peer-reviewed international statistical journals and can demonstrate that the candidate is capable of obtaining research funding. Furthermore, the candidate is also an excellent teacher in statistics for mathematics students and students with different backgrounds. The tenure track candidate is required to obtain the Basic Teaching Qualification (BKO) degree within three years of employment (in case the candidate has not yet obtained this degree). The candidate has a strong affinity with real applications, good communication skills, English speaking and writing skills, and a willingness to learn Dutch.

We offer you:

A challenging job in a dynamic and ambitious university and a stimulating research environment;

A tenure-track as an assistant professor.

Support with your professional and personal development;

A gross salary between € 3.475 and € 4.757 per month depending on experience and knowledge, plus 8% holiday and 8.3% end-of-year allowance;.

An attractive package of fringe benefits (e.g. excellent technical infrastructure, child care, savings schemes, parental leave packages, and excellent sports facilities);