Max Planck Institute Master's Student Automation and Machine Learning in Electrosynthesis 2026

The Max Planck Institute for Chemical Energy Conversion (MPI CEC) in Mülheim an der Ruhr studies fundamental chemical processes for energy storage in chemical molecules. The Department for Electrosynthesis of Prof. Dr. Siegfried R. Waldvogel is working toward greener production processes as well as new screening and optimization strategies.

For work in the laboratories in Mülheim an der Ruhr, MPI CEC is looking for a Master’s Student (f/m/d) - Automation and Machine Learning in Electrosynthesis.

The position is available immediately and is initially limited to six months, with the possibility of extension within a follow-up project.

Your task

• Design and construction of a continuous flow setup for electrochemical reactions
• Developing a user interface for self-learning optimization campaigns
• Interface role to other sub-projects of the cluster and preparation of their results for the own sub-project
• Information and communication within the project

• Table of Content
• About Max Planck Society for the Advancement of Science
• Master’s Student (f/m/d) | Automation and Machine Learning in Electrosynthesis Master's Scholarship
• Aim and Benefits of Master’s Student (f/m/d) | Automation and Machine Learning in Electrosynthesis Master's Scholarship
• Requirements for Master’s Student (f/m/d) | Automation and Machine Learning in Electrosynthesis Master's Scholarship Qualification
• Application Deadline
• How to Apply

Master’s Student (f/m/d) | Automation and Machine Learning in Electrosynthesis Master's Scholarship

Aim and Benefits of Master’s Student (f/m/d) | Automation and Machine Learning in Electrosynthesis Master's Scholarship

• MPI CEC offer an international and dynamic working environment at a renowned research institute.
• Compensation for students holding a Bachelor’s degree is €15.61 per hour.
• Working hours are up to 20 hours per week.

The Max-Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.

Requirements for Master’s Student (f/m/d) | Automation and Machine Learning in Electrosynthesis Master's Scholarship Qualification

• Completed a Bachelor’s degree in natural sciences or engineering with a focus on (organic) chemistry, physics, chemical engineering, or process engineering
• Enrollment in a Master’s program at a German university or university of applied sciences is required
• Preferably relevant work experience in the fields of chemistry, physics, or engineering
• Experience in dealing with instrumental analytics, analysis and interpretation of big data sets, as well as simulation and programming, is advantageous
• Teamwork, good communication and presentation skills
• Very good knowledge of the English language (spoken and written) is necessary. Basic knowledge of German is an advantage

MPI CEC is looking for a self-motivated personality with independent, target-oriented, and systematic operation. High degrees of self-initiative, creativity and collaborative skills are prerequisites.

Application Deadline

How to Apply

Please send your application with all relevant documents (CV, letter of recommendation, certificate of enrolment, Bachelor’s degree certificate, transcript of records), preferably by email (as a PDF document) with the subject “SB007” by June 19, 2026, to:

Max Planck Institute for Chemical Energy Conversion
Dr. Sebastian Beil
Stiftstr. 34-36
45470 Mülheim an der Ruhr

E-Mail: [email protected]

Encrypted data transfer is possible on the site Cryptshare.mpg.de.

For more information, kindly visit Max Planck Institute webpage.