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Tenure Track Professorship (W1) in Computational Statistics
Published(211 days ago)
Deadline for applications(173 days ago)
Tenure Track Professorship (W1)
in Computational Statistics
INSTITUTE INSTITUTE OF STOCHASTICS AND APPLICATIONS I AT THE EARLIEST OPPORTUNITY
The position is associated with the Stuttgart Centre for Simulation Sciences (SC SimTech) and the Department of Mathematics at the Faculty for Mathematics and Physics.
Complex and heterogeneous data is nowadays collected from various sources, often in an ad hoc fashion without designed or controlled experimental conditions, but the ability to extract meaningful and statistically sound information from this data is still limited. In particular, for large-scale or high-dimensional data novel, computationally efficient methods that go beyond standard statistical tasks are required. To address this cross-disciplinary challenge between statistical analysis, machine learning, uncertainty quantification, computational mathematics, optimization, and high-performance computing, the successful candidate will be expected to engage in research in at least one of the following topics: time-series analysis, inverse statistical problems, high-dimensional problems, functional data, statistics of stochastic processes, experimental design, stochastic sampling strategies, stochastic control or optimization, Bayesian non-parametric statistics, statistical aspects of machine learning. There should be an emphasis on the design, implementation, and statistical analysis of efficient and scalable algorithms. Experience in an HPC context is welcome.
The teaching obligations will include teaching in the BSc / MSc courses Simulation Technology and in the courses offered by the Department of Mathematics.
The professorship is funded in the context of the joint program for the promotion of early career researchers by the German federal and state-governments. The position is a tenure track position leading to an appointment as a W3 professor in case of a positive evaluation. The requirements for employment listed in § 51 Baden-Württemberg University Law apply.
For more information on the criteria of evaluation and quality management, please visit the websites https://www.uni-stuttgart.de/universitaet/aktuelles/bekanntmachungen/dokumente/bekanntm_65_2016.pdf https://www.uni-stuttgart.de/universitaet/aktuelles/bekanntmachungen/dokumente/bekanntm_64_2016.pdf
Written applications (including a CV, a teaching record and a list of publications) should be sent no later than April 30th, 2018 to the chairman Prof. Dr. Christian Rohde, University of Stuttgart, vicedeanery of mathematics, Pfaffenwaldring 57, 70569 Stuttgart, Germany and if possible as a PDF-file to the following e-mail address: firstname.lastname@example.org
The University of Stuttgart has established a Dual Career Program to offer assistance to partners of those moving to Stuttgart. For more information, please visit the website https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/
The University of Stuttgart is an equal opportunity employer. Applications from women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications.