Non-tenure-track/postdoctoral Hamburg, Germany Apply
Universität Hamburg
Bundesstraße 55
20146 Hamburg

Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Mathematics

Salary level: EGR. 13 TV-L

Start date: as soon as possible, fixed until 31.12.2023 (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).

Application deadline: 20.04.2022

Scope of work: full-time position suitable for part-time

As a University of Excellence, Universität Hamburg is one of the strongest research universities in Germany. As a flagship university in the greater Hamburg region, it nurtures innovative, cooperative contacts to partners within and outside academia. It also provides and promotes sustainable education, knowledge, and knowledge exchange locally, nationally, and internationally.


Duties include research. Research associates may also pursue independent research and further academic qualifications.

Specific Duties

Mathematical analysis of machine learning methods within the research project LD-SODA (see, in collaboration with scientists from the research areas statistics, optimization, dynamics, and approximation. Successful candidates are expected to analyze and further develop existing learning-based methods for mathematical data analysis with transfering the resulting algorithms into relevant applications.


A university degree in a relevant subject plus doctorate.

Successful candidates are required to hold a PhD in Mathematics, with particular emphasis on one of the research areas learning-based data analysis, approximation theory, or mathematical statistics.

Application Instructions

The Free and Hanseatic City of Hamburg promotes equal opportunity. As women are currently underrepresented in this job category at Universität Hamburg according to the evaluation conducted under the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz, HambGleiG), we encourage women to apply for this position. Equally qualified and suitable female applicants will receive preference.

Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.

Tips on applying


Prof. Dr. Armin Iske

Reference number: 133


Bundesstraße 55
20146 Hamburg

Send us your complete application documents (cover letter, curriculum vitae, copies of degree certificate(s) and if necessary ID attesting to your disability or proof of equivalent status) via the online application form only.

If you experience technical problems, send an email to

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Contact Person
Prof. Armin Iske