Faculty of Mechanical Engineering:
Künstliche Intelligenz für integrierte Materialwissenschaft
In order to fill a fixed-term position in full-time (39.83 hours/week = 100%) at the earliest possible date, we are looking for 1
Researcher in Machine Learning for Superconductivity (m/f/x)
The chair focuses on the development and application of artificial intelligence methods for the design and understanding of materials. It is located at the interface of several fields of knowledge, such as engineering, physics, chemistry, and computer science.
Development of a calculation framework, including standard density functional perturbation theory calculations and the development of machine learning models. for discovering new superconductors in the large database “alexandria.”
| Scope: | full-time |
| Duration: | fixed-term,
Until 31.10.2027 |
| Start: | at the earliest possible date |
| Apply by: |
2025-10-20 |
Your tasks:
- Development and training of machine learning models for superconductivity
- Design and implementation of high-throughput searches for new superconductors, supported by insights from quantum geometry.
- Collaboration with groups involved in the SuperC-2033 project. Participation in SuperC-2033 events.
- Writing scientific articles and presenting research results at conferences and workshops.
- Participation in the preparation of grant applications.
Your profile:
- At the time of hiring, possession of a Master degree in physics, theoretical chemistry, computational materials science, or related fields.
- Advanced programming skills (preferably in Python).
- Experience in high-throughput methods using ab initio techniques
- Experience in machine learning
- Solid knowledge of quantum mechanics and theoretical solid-state physics.
- Willingness and enthusiasm to collaborate with other team members and experimental staff.
- We will give preference to curious and creative young researchers who are highly motivated to help shape the direction of the project.
We offer:
Further information:
The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L.
Further information can be found at https://oeffentlicher-dienst.info/ (in German).
The place of work is Ruhr University Bochum.If the position is funded by third-party funds the employee has no teaching obligation.
RUB sees itself as a university with an international presence. The campus languages are German and English. Competence in at least one of the two languages and the willingness to learn the other are a prerequisite. RUB provides corresponding free courses for employees.
German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF).
https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en
The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr@rub.de.
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 Ruhr-Universität Bochum’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 persons for further information:
Miguel Marques
Tel.: +49 234 32 26370
Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed.
We look forward to receiving your application via our online application portal by 2025-10-20. Please make sure to mention the reference number ANR 5033.
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