PhD or Postdoctoral position (m/f/d)

Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V.; Berlin; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A prestigious research institution in Berlin is seeking candidates for a full-time PhD or Postdoctoral position focused on interpretable machine learning for catalytic reaction network discovery. The successful applicant will engage in innovative research integrating modeling and experimental design. This role offers an opportunity to contribute significantly to sustainable technology research in a collaborative environment.

Leistungen

Access to world-class laboratory and analytical infrastructure

Attractive and individualized training opportunities

Subsidy for the job ticket

Good connections to public transport and parking facilities

Qualifikationen

• Experience with PINN and Sparse Symbolic Regression methods.
• Appropriate track record in first-author scientific publications for Postdoc applications.
• High willingness to learn and master novel computational approaches.

Aufgaben

• Develop interpretable machine-learning frameworks for reaction-network discovery.
• Integrate multiscale modeling and experimental design in laboratory settings.
• Elucidate catalytic pathways and degradation mechanisms.

Kenntnisse

Data-driven machine learning methods

Python programming

Collaborative spirit

Excellent English skills

Ausbildung

Master's degree or PhD in natural sciences

Jobbeschreibung

The Fritz Haber Institute of the Max Planck Society for the Advancement of Science (www.fhi.mpg.de) is one of the most internationally renowned research institutes. More than 400 employees in 5 scientific departments conduct and facilitate top-level research on historic grounds in Berlin-Dahlem, which is unique worldwide.

The FHI Theory department is currently looking to fill

PhD or Postdoctoral position (m/f/d)

Interpretable Machine Learning for Catalytic Reaction Network Discovery

A full-time PhD or Postdoctoral position is available in a collaborative Max Planck research project within the SusMax network focused on developing interpretable machine-learning frameworks for kinetic multiphase reaction-network discovery in the catalytic conversion of renewable feedstocks. The successful candidate will integrate multiscale first-principles modeling, sparse symbolic regression, and adaptive experimental design in self-driving laboratory settings to elucidate both desired catalytic pathways and degradation mechanisms at inorganic–organic interfaces. The position is hosted at the Fritz-Haber-Institut (Berlin) in a close partnership with the MPI Magdeburg, contributing to algorithm development, computational tool implementation, and validation with experimental partners.

The PhD positions are initially limited to three years, the Postdoc positions to one year with option for extension.

The Max Planck Society values diversity and inclusion; applications from women and underrepresented minorities are particularly encouraged.

Your profile

We expect candidates to have:

• A Master degree (PhD positions) / a PhD (Postdoc positions) in natural sciences (i.e. Chemistry, Physics, or Materials Science) preferably with a specialization in theoretical chemistry, or applied mathematics
• An appropriate track-record in first-author scientific publications for Postdoc applications
• Experience with data-driven machine learning methods for modelling (PINN, Sparse Symbolic Regression methods)
• High willingness to learn and master novel computational approaches
• Solid experience in Python programming is required
• Collaborative spirit, teamwork, and excellent English skills

We offer

• An attractive, diverse work environment and a varied role where you make an important contribution to international research.
• Access to world-class laboratory and analytical infrastructure.
• Modern and predominantly electronic workflows.
• Attractive and individualized training opportunities, e.g., through the Planck Academy.
• Extensive on-site technical training
• Subsidy for the job ticket.
• Very good connections to public transport, bicycle parking, charging stations for e-cars, good parking facilities.
• A friendly and respectful international working environment.

Your application

Please submit your application via our online application portalas soon as possiblebut latestby August 31, 2025including the following documents:

• Cover letter
• Curriculum vitae
• Names and email addresses of at least three references

The successful candidates are expected to start between October 1st, and December 1th, 2025.

For more information, please contact:

Dr. Gianmarco Ducci ([e-mail])

or Dr. Christoph Scheurer ([e-mail])

Theory Department, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin

We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.

Max Planck Society

The Max Planck Society endeavors to achieve gender equality and diversity. Furthermore, the Max Planck Society aims to increase the participation of women in research. Therefore, applications by women are particularly welcome. The Max Planck Society is also committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.

Berlin

The Fritz Haber Institute (FHI) is located in the quiet south-west of Germany’s capital Berlin, which is a large, tolerant, and cosmopolitan city. Berlin offers a wide variety of culture, art, music, and outdoor opportunities.