Postdoctoral Researcher (m,f,x) in Machine Learning Potentials, Theoretical Chemistry II, Research Alliance Ruhr

Postdoctoral Researcher (m,f,x) in Machine Learning Potentials, Theoretical Chemistry II, Research Alliance Ruhr

Ruhr-Universität Bochum

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Postdoctoral Researcher at Ruhr-Universität Bochum focusing on machine learning interatomic potentials. Responsibilities include development of algorithms, training data generation, and research presentations.

Słowa kluczowe

Machine Learning
Theoretical Chemistry
Programming
Python
Fortran
Electronic Structure Calculations
Density Functional Theory
Atomistic Simulations

Benefity

  • Exciting interdisciplinary research environment
  • Excellent working conditions with state-of-the-art equipment
  • High-performance computing facilities
  • Collaborations in a supportive team
  • Challenging and varied tasks with independence

Introduction

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 one

Postdoctoral Researcher (m,f,x) in Machine Learning Potentials, Theoretical Chemistry II, Research Alliance Ruhr

The Chair of Theoretical Chemistry II at Ruhr-Universität Bochum (RUB) is part of the Research Center Chemical Sciences and Sustainability of the Research Alliance Ruhr (RAR). The RAR is a joint initiative of TU Dortmund, Ruhr-Universität Bochum and Universität Duisburg-Essen funded by the state of North Rhine-Westphalia to expand the research landscape in the metropolitan area Ruhr. Our group is located close to the RUB-Campus in Bochum. Our main research focus is the development and application of machine learning interatomic potentials for large-scale atomistic simulations in chemistry and materials science.

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.

Your tasks:

- development and parameterization of machine learning interatomic potentials
- implementation of new algorithms in scientific software packages
- generation of training data using electronic structure calculations, atomistic simulations
- presentation of scientific results at conferences and in journal publications
- participation in national and international collaborative projects of the group

Your profile:

- you hold a PhD or doctoral degree in chemistry, physics, materials science or a related field
- you have programming experience (e.g. Python, Fortran) and are highly motivated to contribute to the development of new methods and scientific software
- you have a solid background in electronic structure calculations, e.g. density functional theory
- ideally, you have experience in atomistic simulation methods like molecular dynamics
- you have very good English language skills (spoken and written), German language skills are desirable but not mandatory

We offer

We offer an exciting interdisciplinary and international research environment as well as excellent working conditions with state-of-the-art equipment and high-performance computing facilities.

Scope: full-time
Duration: fixed-term, 3 Jahre
Start: at the earliest possible date
Apply by:
2026-04-28

We offer:

- employment at one of the largest universities in Germany within the University Alliance Ruhr
- challenging and varlied tasks with a high level of independence
- an exciting interdisciplinary and international working environment with state-of-the-art equipment
- collaborations in a highly motivated and supportive team
- training and development opportunities
- the opportunity to present your work at international conferences

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 TV-L 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.

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

Please submit the following documents via the application portal: a cover letter, a CV including a list of your publications, copies of your academic transcripts and certificates, and the contact details of two academic referees.Please contact [email protected].

Contact persons for further information:

Prof. Dr. Jörg Behler 0234-3219780
Lisa Marie Stein 0234-3219781

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 2026-04-28. Please make sure to mention the reference number ANR 5604.

Wyświetlenia: 3
Opublikowana8 dni temu
Wygasaza 22 dni

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