The section Stochastics (STO) 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, and much 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 their teaching concepts by using new teaching approaches.

The statistics group has an opening for one software engineer/programmer (for a period of four years). The candidate will work on an STWproject called 'Rapid micro statistics' that is a collaboration with three international pharmaceutical companies and funded by the Dutch science foundation NWO (www.stw.nl/nl/content/rapidmicrostatistics).

The software engineer will build a user friendly software package that contains the statistical methods that are developed by the researchers in the project. The software engineer will work closely with the involved companies to understand the user requirements for the software package. The candidate will work closely related with the two project leaders.
The software engineer has a degree in computer science (or equivalent), preferably at the Master of Science level. The candidate has strong programming skills with experience in building user friendly software applications, preferably for statistical applications. The software engineer will build a user friendly software package that contains the statistical
methods that are developed by the researchers in the project. The software engineer will work closely with the involved companies to understand the user requirements for the software package. The candidate will work closely related with the two project leaders. The software engineer has a degree in computer science (or equivalent), preferably at the
Master of Science level. The candidate has strong programming skills with experience in building user friendly
software applications, preferably for statistical applications. The candidate has strong affinity with data science and statistics and is proficient with Java, C++, and at least one statistical software (R and/or SAS). The candidate is a good
listener and willing to work closely with scientists from microbiology to understand their requirements. The candidate has good communication skills. Furthermore, the candidate is proficient in speaking and writing English and is willing to learn Dutch.

We offer:

A challenging job for 4 year in a dynamic and ambitious university and a stimulating research environment;

Support with your professional and personal development;

The gross monthly salary (scale 10 between € 2.640 and € 4.166) depends on your experience and is in accordance with the Collective Labor Agreement of the Dutch Universities;

8% holiday allowance;

8.3% end of the year allowance;

An extensive package of fringe benefits (e.g. support in moving expenses, excellent technical infrastructure, on campus child care, and excellent sports facilities.