Head of Statistical Inversion and Quantification of Uncertainties

Humboldt University of Berlin Department of Mathematics



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Anzahl der Stellen

Faculty of Mathematics and Natural Sciences - Department of Mathematics

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The Berlin Cluster of Excellence MATH+ is a dynamic interdisciplinary research center that focuses on application-driven mathematical research relevant to our society.

Its three main goals are to train highly skilled young mathematicians across the entire breadth of mathematics, to develop innovative application-oriented mathematics with a focus on data-driven modelling, simulation, and optimization, and to open up new mathematical thinking spaces. MATH+ is supported by Berlin mathematics as a whole in cooperation with other scientific disciplines. Moreover, MATH+ strives to communicate its findings actively to the general public.

MATH+ funds positions for heads of independent junior research groups in application-driven basic mathematical research, in order to strengthen support for excellent young researchers who already have some years of postdoc experience, and to give them a head start in building their own research profile and group within the supportive environment of a large Cluster of Excellence.

We are looking for a highly motivated and scientifically outstanding researcher in the area of computational inverse problems with an emphasis on statistical approaches including the quantification of uncertainties. We are particularly interested in researchers working on problems related to partial differential equations or large-scale data. Application areas of interest include image processing and sustainable energy and markets. The successful candidate fits the scope of the Berlin Cluster of Excellence MATH+ and complements the scientific profile of the Institute of Mathematics at Humboldt-Universität zu Berlin, while exhibiting a large cooperation potential within Berlin mathematics and neighbouring disciplines.

Job Description:

Leadership of a junior research group in the area of statistical inversion and quantification of uncertainties; research in computational inverse problems with an emphasis on statistical approaches including the quantification of uncertainties and problems related to partial differential equations or large-scale data


Master’s degree in Mathematics or equivalent and PhD in Mathematics; excellent knowledge in mathematical statistics and uncertainty quantification; very good written and spoken English skills

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Please send your application, quoting the reference number DR/167/20, to Humboldt-Universität zu Berlin, Faculty of Mathematics and Natural Sciences, Department of Mathematics, Prof. Tischendorf, Unter den Linden 6, 10099 Berlin, Germany. Your application must include a curriculum vitae, copies of certificates and documents, a detailed description of your teaching experience as well as current and future research projects and a list of publications with up to three selected reprints. The application should be sent as a single-document PDF via email to: j.brandt@math.hu-berlin.de.

HU is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.

Please visit our website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version.

In your application, please refer to Professorpositions.com


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