Data Scientist in Bremerhaven bei Alfred Wegener Institut für Polar und Meeresforschung

Data Scientist (m/f/d) in Bremerhaven bei Alfred Wegener Institut für Polar und Meeresforschung

Alfred-Wegener-Institut für Polar- und Meeresforschung

The Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI) is a member of the Helmholtz Association (HGF) and funded by federal and state government. AWI focuses on polar and marine research in a variety of disciplines such as biology, oceanography, geology, geochemistry and geophysics thus allowing multidisciplinary approaches to scientific goals.

Data Scientist (m/f/d) with a focus on AI/ML methods to improve the “smartness” of two international repositories PANGAEA & Qualiservice

Background
Over the next three years the data competence center for Bremen “DataNord” will be established as an interdisciplinary project with close relationships to the National Research Data Infrastructure NFDI. In “DataNord” the members of the U Bremen Research Alliance – the cooperation network of the University of Bremen, the Alfred Wegener Institute - Helmholtz Centre for Polar and Marine Research (AWI) and 11 non-university research institutes – work together with other regional institutions. In total, the “DataNord” team will consist of 15 people who will be spread across the partner institutions and will work closely together.
One of the data scientist positions will be located at the AWI but co-supervised by Prof. Dr.-Ing. Uta Bohnebeck - Informatics/Data Science (Hochschule Bremen) and Prof. Dr. Betina Hollstein – social sciences (Qualiservice/Universität Bremen).
The data used in this research project originates from the PANGAEA (www.pangaea.de) and Qualiservice (www.qualiservice.org) repositories. Both are internationally recognized specialist repositories for earth and environmental research as well as qualitative social science research. They serve as models for researching the re-use of published data for the application of machine learning techniques and artificial intelligence. The goal of this project is to showcase transformation of high-quality data into innovative research.

Tasks
We are looking for a motivated data scientist who is willing to take advantage of the large corpus of curated data already available in two internationally leading repositories PANGAEA and Qualiservice to research the following topics as part of the DataNord “SmartReps” project:

How can AI/ML methods be used to support our users when submitting data to the repositories?
How can AI/ML methods be used to support our editors when curating the data?
To what extent can trustworthiness be established for these AI/ML methods?
What are the costs (energy consumption, complexity) to benefit ratio of AI/ML methods compared to classical e.g. statistical methods

Requirements

Master in computer science, or natural science with knowledge and practical experiences in AI/ML methods
Experiences in managing data
Programming skills
Motivated teamplayer
Very good presentation and communication skills
Fluent in English and at least basic knowledge in German

Further Information

Please contact Prof. Dr. Frank Oliver Glöckner (frank.oliver.gloeckner@awi.de, +49(471)4831-1459) for further information.

This is a full-time position, limited to November 14th, 2026. It is also suitable for part-time employment. The salary will be paid in accordance with the Collective Agreement for the Public Service of the Federation (Tarifvertrag des öffentlichen Dienstes, TVöD Bund), up to salary level 13. The place of employment will be Bremerhaven .

The AWI is characterised by

our scientific success - excellent research
collaboration and cooperation - intra-institute, national and international, interdisciplinary
opportunities to develop – on the job and towards other positions
an international environment – everyday contacts with people from all over the world
flexible working hours and the possibility of mobile working up to 50% of regular working hours
Health promotion and company fitness with EGYM wellpass
support services and a culture of reconciling work and family
Occupational pension provision (VBL)
Jobticket

Equal opportunities are an integral part of our personnel policy. The AWI aims to increase the number of employees who are women, and therefore strongly encourages qualified women to apply.

Applicants with disabilities will be given preference when equal qualifications are present.

The AWI fosters the compatibility of work and family in various ways and has received a number of awards as a result of this engagement.

We look forward to your application!

Please submit your application by November 15 th 2023, excl