Research Assistant (Doctoral student) project "ICEBAY - Temperature reconstruction combining boreholes thermometry and ice-cores with Bayesian hierarchical modeling"
Bergische Universität Wuppertal

Befristet

Vollzeit, Teilzeit

Bewerbungsfrist: 02.03.2026

Veröffentlicht am: 28.01.2026

Wuppertal

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Research Assistant
(Doctoral student)

The University of Wuppertal is a dynamic, networked and research-oriented campus university. Collectively, more than 25,000 researchers, academic staff and students face the challenges of science, education, culture, economics, society, technology and the environment.

The School of Mathematics and Natural Sciences, Professorship for Software in Data-intensive Applications, invites applications.

RESPONSIBILITIES AND DUTIES

Interdisciplinary work at the interface of computer science and mathematics with applications in the context of climate reconstruction within the DFG-funded research project “ICEBAY – Temperature reconstruction combining boreholes thermometry and ice-cores with Bayesian hierarchical modeling.”
Development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
Collaboration in an international team on related research topics in machine learning, uncertainty quantification, and high-performance computing with applications in the natural and engineering sciences
Teaching (1 semester hour per week) as well as supervision of term papers and theses

PROFESSIONAL AND PERSONAL REQUIREMENTSL

Completed degree (master or equivalent from university or university of applied sciences) in a relevant discipline (e.g., Computer Science, Mathematics, Physics, Data Science)
Strong analytical skills related to statistics, machine learning, and/or (numerical) mathematics
Excellent command of a programming language (preferably Python or C/C++)
Interest in modeling and solving a complex, coupled inverse problem in a relevant interdisciplinary application
Ideally, experience in Bayesian inference or Bayesian hierarchical modeling
Good command of English (working language within the team, international collaboration)
A competent, proactive personality with commitment and motivation
Ability to work independently and enjoyment of teaching
Successful completion of a scientific programming task in the subject area of the advertised position. All details of the programming task can be found at: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bayesian-inference-for-climate-reconstruction

This is a qualification position in the sense of the Academic Fixed-Term Contract Act (WissZeitVG), which serves to support a doctoral programme. The position is temporary for the duration of the doctoral process, but initially up to 3 years. An extension for the completion of the doctorate is possible within the time limits of the WissZeitVG.

Start
as soon as possible

Duration
up to 3 years

Salary
E 13 TV-L

Time
Full time (Part-time employment is possible, please indicate in your application whether you would also or only be interested in part-time employment.)

Reference Code
25354

Contact person
Mr Peter Zaspel
zaspel@uni-wuppertal.de

Applications via
stellenausschreibungen.uni-wuppertal.de

Application deadline
02.03.2026

WE OFFER

Friendly working environment

Occupational health management and University Sports

Flexible working hours and hybrid working

Working in an international context

30 days of leave

Large offer of continuing education courses

Family-friendly working conditions

Company pension scheme

The University of Wuppertal is an equal opportunity employer. Applications from persons of any gender and persons with disabilities as well as persons with an equivalent status are highly welcome. In accordance with the Gender Equality Act of North Rhine-Westphalia, women will be given preferential consideration unless there are compelling reasons in favour of an applicant who is not female. The same applies to applications from disabled persons, who will be given preference in the case of equal suitability.

Applications including all relevant credentials (motivation letter, CV, proof of successful graduation, job references, and if applicable, evidence of a severe disability, ideally Bachelor/Master thesis – if available) as well as the mandatory completion of a scientific programming task related to the thematic context of the advertised position. All details regarding the programming task can be found at: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bayesian-inference-for-climate-reconstruction. Kindly note that incomplete applications will not be considered.

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Research Assistant (Doctoral student) project "ICEBAY - Temperature reconstruction combining boreholes thermometry and ice-cores with Bayesian hierarchical modeling" Bergische Universität Wuppertal

Research Assistant (Doctoral student)