Data Scientist (m/w/d)

Link: (CompanyWebsite)

Gegründet: 1818 (CompanyFounded)

Mitarbeiteranzahl: 5.001 bis 10.000 (CompanyEmployee)

Branche: Bildung (CompanyIndustry)

Stellenbeschreibung

Anstellungsart

Festanstellung

Vollzeit

Arbeitsort

Bonn

Leistungen

Aus der vollständigen Stellenbeschreibung

Homeoffice-Möglichkeit

Flexible Arbeitszeiten

Vollständige Stellenbeschreibung

Veröffentlicht am: 11.06.2026

The University of Bonn is an international research university offering a broad range of subjects. With a 200-year history, some 31,500 students, more than 6,000 employees and an outstanding reputation in Germany and abroad, the University of Bonn is one of the leading universities in Germany and has been awarded the status of a University of Excellence.

The newly established Hertz Chair in “Astrochemistry” within the Transdisciplinary Research Area Matter: Building Blocks of Matter and Fundamental Interactions (TRA 2) is seeking a full-time, permanent

Data Scientist

to start on October 1, 2026.

Hertz Chair in “Astrochemistry”

The field of Astrochemistry is an interdisciplinary field at the interface of Astronomy, Physics, chemistry and Computer Science. Prof Vitis group is at the forefront of astrochemical modelling. We develop innovative methodologies to connect theory and observations. This led over the years to the development and maintenance of an open-source suite of astrochemical and statistical/machine learning codes.

We seek an outstanding candidate who will take the lead on the application of computational methodologies for the group. This includes three core competencies: scientific software engineering, machine learning engineering and data science.

Bewerbungsfrist:

05.07.2026

Kennziffer:

2025/273

Arbeitszeit:

full-time

Tätigkeitsbeginn:

October 1, 2026

Laufzeit:

permanent

Entgeltgruppe:

TV-L EG 13

Ihre Aufgaben

Develop and maintain the in-house Astrochemical codes,

Support the group in the exploitation and interpretation of large observational and computational datasets,

Research and keep up with the Data Science literature that could benefit the group.

Potential areas of responsibility:

Development and maintenance of the in-house Astrochemical codes,

Machine learning and artificial intelligence applied to astronomical data,

Advanced statistical and probabilistic inference methods,

Scalable algorithms for the analysis of large observational, simulated, or laboratory data sets,

Efficient use of high-performance computing (HPC) on platforms ranging from local university clusters, first tier national HPC facilities and cloud-based platforms,

Data management, archiving, and reproducible research practices.

We welcome candidates whose expertise bridges astronomy and data science — whether through the development of new computational methods, the application of such techniques to cutting-edge data, or both.

Wir bieten

A varied and challenging role with one of the regions largest employers, job security, and a commitment to the local community,

Flexible working hours (including the option to work from home to a certain extent),

An international work environment,

Opportunities for continuing education and professional development,

Occupational pension (VBL),

Many options available for university sports,

Excellent access by public transport thanks to Bonns central location as well as the opportunity to take advantage of low-cost parking,

Remuneration in accordance with TV-L pay grade 13.

Ihr Profil

A PhD in Astronomy, Astrophysics, Ph