Postdoctoral researchers in Statistics
Postdoctoral researchers in Statistics
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Job description
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, 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 two openings for a post-doc position (one post-doc position for one year and one for three years). The one-year post-doc position will work on a project that is part of the NWA startimpuls 'Meten en Detecteren' funded by NWO (https://www.ti-coast.com/news-events/latest-news/525-nwa-startimpuls-meten-en-detecteren-van-gezond-gedrag-gehonoreerd.html)
The post-docs are expected to perform relevant research in the area of statistics of the statistics group to help build and strengthen the team. The three-year post-doc is expected to also 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 three-year post-doc will teach statistics to students from different origins (mathematics, computer science, data science, and other engineers). Both post-docs will work closely with the head of the statistics group.
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, 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 two openings for a post-doc position (one post-doc position for one year and one for three years). The one-year post-doc position will work on a project that is part of the NWA startimpuls 'Meten en Detecteren' funded by NWO (https://www.ti-coast.com/news-events/latest-news/525-nwa-startimpuls-meten-en-detecteren-van-gezond-gedrag-gehonoreerd.html)
The post-docs are expected to perform relevant research in the area of statistics of the statistics group to help build and strengthen the team. The three-year post-doc is expected to also 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 three-year post-doc will teach statistics to students from different origins (mathematics, computer science, data science, and other engineers). Both post-docs will work closely with the head of the statistics group.
Specifications
- max. 38 hours per week
- Eindhoven View on Google Maps
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Eindhoven University of Technology (TU/e)
Requirements
The candidates for the post-doc positions have a PhD degree in statistics (or closely related field) and have a specialization preferably in the area of the statistics group mentioned above. The candidates have published in peer-reviewed international statistical journals. Furthermore, the post-doc candidates are also excellent teachers in statistics for mathematics students and students with different backgrounds. The candidates have a strong affinity with real applications, good communication skills, English speaking and writing skills,
and a willingness to learn Dutch.
and a willingness to learn Dutch.
Conditions of employment
We offer:A challenging job in a dynamic and ambitious university and a stimulating research environment. One position is for 1 year and the other one for 3 years; Support with your professional and personal development; The gross monthly salary (scale 10 between € 3.111 and € 4.084) 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.
