Postdoc in Machine Learning Potentials, Theoretical Chemistry II, Research Alliance Ruhr

Ruhr-Universität Bochum
Bochum, Germany
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German

Job location

Bochum, Germany

Tech stack

Training Data
Artificial Neural Networks
Computer Programming
Fortran
Python
Machine Learning
Enterprise Software Applications

Job description

  • development and parameterization of machine learning interatomic potentials for heterogeneous catalysis
  • 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 support of the tasks in the Chair, e.g. support in supervision of undergraduate students (e.g. Bachelor and Masters students) *, 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.

The topic of the project is the development and application of high-dimensional neural network potentials in the field of heterogeneous catalysis at solid-liquid interfaces. A close collaboration with theoretical and experimental groups is planned. As application documents please provide a motivation letter, a CV including a list of publications, copies of transcripts and certificates.

Requirements

  • you hold a PhD or doctoral degree in chemistry, physics, materials science or a related field (latest at the start of the contract)
  • 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, preferably density functional theory
  • ideally, you have experience in atomistic simulation methods like molecular dynamics
  • you have very good English skills (spoken and written), German language skills are desirable but not mandatory

Benefits & conditions

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 a, * employment at one of the largest universities in Germany within the University Alliance Ruhr

  • challenging 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

About the company

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/daf/mitarbeitende/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.

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