Aarhus University, Department of Mathematics

2156 16051Position ID: MATHAU-ASSOPROF [#16051]
Position Title: Tenure Track Assistant Professor/Associate Professor in Data Science and Statistics
Position Type: Tenured/Tenure-track faculty
Position Location: Aarhus, N/A 8000, Denmark [map]
Subject Area: Da
Application Deadline: 2020/10/01 11:59PMhelp popup (posted 2020/07/03, listed until 2021/01/03)
Position Description:    

Tenure Track Assistant Professor/ Associate Professor in Data Science and Statistics

The Department of Mathematics at Aarhus University - an international top-100 University – seeks candidates, characterized by excellence and vision in their research, for 1-2 Tenure Track Assistant Professor/Associate Professor position in data science and statistics.

The positions are available from 1 January, 2021.

The Stochastic Group at the Department of Mathematics has 13 permanent faculty members covering both applied and theoretical aspects of data science, optimization, probability and statistics. The Department has recently started a major educational effort in data science, including a new interdisciplinary study programme, both at bachelor and master level. The data science study programme focuses on skills from mathematics, statistics and computer science and involves also a broad range of topics from applications. The successful candidate is expected to contribute to the data science study programme.

The Department has a strong international profile in probability theory and mathematical statistics, and has close research ties to “Center for Research in Econometric Analysis of Time Series” (CREATES), at the Department of Economics and Business Economics, as well as to two interdisciplinary centers at the Faculty of Natural Sciences, “Aarhus University Centre for Digitalisation, Big Data and Data Analytics” (DIGIT) and “Bioinformatics Research Centre” (BiRC). The Department of Mathematics wants to continue and expand the interdisciplinary research in close collaboration with the surrounding community.

For the open position, we search for 1-2 persons with a broad knowledge of mathematics and statistics towards data science. Research interests of particular relevance include modern statistical theory of big data and high dimensional problems, computational optimization and topological data analysis. In light of the current gender balance at the department, we in particular encourage female applicants to apply.

A successful candidate should have: An excellent record of original scientific contributions in statistics and/or data science. A documented ability and interest in taking responsibility for teaching courses within data science and/or statistics. Demonstrated the ability both for collaborative and independent research. A clear potential for obtaining external funding for research activities.

A successful candidate is expected to: Participate in and drive research through international collaboration. Teach and develop statistics and data science courses (in Danish after some period). Supervise students at all levels from Bachelor to PhD. Build and sustain a research group around her/himself through external funding.

Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Read more here. Denmark is consistently rated in the top 3 among OECD countries with respect to work-life balance, which is part of what makes Aarhus University an attractive workplace. Please find more information about entering and working in Denmark here.

The applicant may upload up to 10 key publications with the application. While the assessment committee will evaluate the overall scientific achievements of all shortlisted candidates, they can only be expected to look into individual scientific results amongst those contained in publications submitted with the application.

The place of work is Ny Munkegade 118, 8000 Aarhus C.

For further information, please contact Head of Department Jacob Schach Møller, email; jacob@math.au.dk


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Contact: Jacob Schach Moeller
Email:
Postal Mail:
Ny Munkegade 118, Building 1530
DK-8000 Aarhus C
Denmark
Web Page: https://math.au.dk/om/ledige-stillinger/job/tenure-track-assistant-professor-associate-professor-in-data-science-and-statistics/

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