Researcher (f/m/d) in Computer Science with the opportunity of pursuing a PhD

Helmholtz Association of German Research Centres; Deutschland; Vor Ort; EUR 40.000 - 70.000; Vollzeit

Zusammenfassung

A leading research organization in Germany is seeking a candidate to develop machine learning methods in Materials Science. Responsibilities include contributing to a German-American project on semiconducting polymers and researching decision-making methods. The successful candidate will also have the opportunity to pursue a PhD. This position offers a unique opportunity to work in a dynamic research environment.

Qualifikationen

• Experience with machine learning methods.
• Strong knowledge of Bayesian optimization techniques.
• Willingness to collaborate with international partners.

Aufgaben

• Develop machine learning methods.
• Contribute to the NeuroTronics project focusing on semiconducting polymers.
• Research autonomous decision-making methods.

Jobbeschreibung

Area of research

Other

Starting date

22.11.2025

Job description

As a successful candidate, you will work on the development of machine learning methods in the AI for Materials Science (AiMat) group of Prof. Dr. Pascal Friederich.

Your responsibilities will include:

• Development of modern machine learning methods
• Active contribution to the German-American research project “NeuroTronics”, with a particular focus on the design of doped semiconducting polymers using machine learning methods and self-driving laboratories
• Research in the field of autonomous decision-making methods based on Bayesian optimization techniques
• Collaboration with partners in the United States regarding their integration into automated synthesis and characterization workflows

In addition to scientific work, there is the opportunity of pursuing a PhD.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.