Job Vacancies
The Bavarian Center for Battery Technology (BayBatt) at the University of Bayreuth and its members are currently looking for employees in the following positions:
- Research Associate (m/f/x) - Chair of Physical Chemistry VHide
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The Chair of Physical Chemistry V: Theory and Machine Learning located at the University of Bayreuth’s Bavarian Center for Battery Technology (BayBatt) is currently seeking to appoint a
Fixed-Term Research Associate (m/f/d, E13 TV-L, 67%) in the field of Machine Learning for Materials Chemistry
to commence as soon as possible. The application deadline is 20 April 2026.
Your tasks:
- Develop novel machine learning (ML) and artificial intelligence (AI) methods to describe the properties of complex and disordered materials.
- Perform and analyze complex atomistic simulations of functional energy materials under realistic operating conditions.
- Collaborate with experimental partners on cutting edge materials chemistry research for batteries, catalysis and beyond.
Your profile:
- Completed university degree (Master's or Diploma) in Chemistry, Physics, Computer Science or related fields.
- Background in atomistic scale simulations and/or deep learning techniques.
- Interest in pushing the boundaries of materials simulations.
- Strong communication skills and a curious mind.
The complete vacancy notice and the link to the application portal can be found here.
- Research Associate (m/f/x) - Chair of Intelligent Energy ManagementHide
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The Chair of Intelligent Energy Management at the University of Bayreuth is currently seeking to appoint a
Research Associate (m/f/x) – PhD or Postdoc
to support the research and teaching activities of the chair from June 1st 2026. The position is initially limited to 1 year, with the expected extension in case of satisfactory performance, and will be remunerated according to salary grade E13 (100%). The application deadline is 30 April 2026.
Your responsibilities:
- Supporting teaching in the field of energy management in German and English.
- Development and hardware demonstration of intelligent control approaches in energy networks
- Collaborate with faculty members and industry partners to develop and implement innovative digital solutions in energy management.
- Promotion of research results through participation in national and international conferences and publication in renowned scientific journals.
Your profile:
- Master’s or PhD degree in a relevant field (Electrical Engineering, Mechatronics, or Computer Science), with a focus on power grid operation.
- Hands-on experience with experiments in an electrical laboratory.
- Strong foundation in mathematics (Dynamic Systems, Signal Analysis, Control Theory, Optimization and Numerical Methods).
- Solid expertise in software engineering and programming languages.
- Research-oriented mindset with a proactive, “get things done” approach.
- Excellent communication skills in both German and English.
- Interest in project management and collaboration with industrial partners.
The complete vacancy notice and the link to the application portal can be found here.
Werfen Sie auch einen Blick auf unsere deutschsprachigen Stellenangebote.