The group Materials Informatics and Data Science of the Interdisciplinary Centre for Advanced Materials Simulation (ICAMS) is looking for a 

Postdoctoral researcher position (f/m/d) in “FAIR collection, curation, and management of multidimensional research data” within CRC 1625 “Atomic-scale understanding and design of multifunctional compositionally complex solid solutions surfaces” untill 31.12.2027, 39,83 hours per week, TVL E13

Compositionally complex solid solutions, also referred to as high entropy alloys, show promise for clean energy systems. Their unique properties arise from complex surface structures, opening doors to better electrocatalysts. Our research focuses on understanding and controlling these surface structures, paving the way for more efficient and sustainable materials. The interdisciplinary approach involves experts in materials science, surface science, physics, chemistry, and data science. The goal is not just to create new catalysts but to enhance our fundamental understanding, eventually leading to the design of versatile and efficient electrocatalysts using abundant materials.

Within this CRC, the tasks associated with the position include the coordination of research data management. This entails the administration of the research data infrastructure together with the ICAMS IT team, the coordination of data ingest and metadata schema development, development of APIs, integration of data, and the co-organization of data literacy workshops. As part of the CRC-central data infrastructure, you will closely interact with all projects. However, the closest interaction will be with the project making use of the data to accelerate the discovery and understanding and a project for knowledge representation and ontologies.

extent: full-time
duration: temporary
beginning: as soon as possible
application deadline:

Your tasks:

  •  Implementation and/or adaption of a semantic data lake including APIs
  • Consultation, training, and support of other groups, possible topics:
    ◦ Data literacy
    ◦ Research data management
    ◦ Support in developing bespoke software tools for data pre- and postprocessing
  • Data integration and quality assurance
  • Implementation of a user interface for the data lake

Your profile:

  • We seek an outstanding science-driven candidate with strong programming abilities and a background (Phd degree) in Materials Science, Physics, Chemistry and/or Computer Science. One requirement is proficiency with the programming language Python. Experience with typical Machine Learning libraries (scikit-learn, scikit-image, tensorflow, pytorch, etc.) and management of scientific data is beneficial. Desired experience includes usage and management of a data lake. Due to the central nature of the tasks, the position requires strong interpersonal and communication skills, therefore previous management or coordination experience is beneficial.

Our offerings:

  • Team-orientated cooperation in a committed, international and appreciative team
  • a friendly and collegial environment
  • Options for flexible working within Germany
  • Extensive training and further education opportunities
  • a job in the centre of the lively Ruhr metropolitan region with its diverse cultural offerings

Additional information:

At the request of the applicant (m,f,x), the staff council may be involved in selection interviews.

If the position is funded by third-party funds the employee has no teaching obligation.

German language courses are offered by the University Language Center (ZfA) in the field of German as a Foreign Language (DaF).

The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim.

The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.

Contact details for your application:

Markus Stricker, Phone: +49234 32 23977

Travel expenses for interviews cannot be refunded.

For information on the collection of personal data in the application process see:

ANR: 2869 until 11.03.2024,
Please send your complete and informative application documents (cover letter, 1-page motivational letter, CV with certificates) as one PDF document by e-mail to Jun.-Prof. Dr.-Ing. Markus Stricker

Zurück zur Übersicht