Ph.D. position in Reinforcement Learning at University of Würzburg


The TriFORCE project, funded by the German Federal Ministry of Education and Research (BMBF), is looking for a highly motivated Ph.D. student interested in applying Reinforcement Learning to robotics problems. This is an exciting opportunity for anyone with a master's degree in related fields, such as Reinforcement Learning, Robotics, and AI. In this blog post, we will discuss the details of the position, the benefits, available levels of study, financial support, eligibility criteria, and how to apply.

About the Position

The Ph.D. student will work with the TriFORCE project, which aims to develop advanced Reinforcement Learning algorithms for robotics. The project is led by Prof. Dr. Carlo D'Eramo, who is a renowned expert in the field of Robotics and Reinforcement Learning. The student will have access to state-of-the-art equipment and resources to conduct their research.

Benefits of the Position

As a Ph.D. student with TriFORCE, you will have the opportunity to work on cutting-edge research problems and contribute to the development of Reinforcement Learning algorithms for robotics. You will work in a highly stimulating environment, with access to resources and guidance from renowned experts in the field. You will also be part of a community of researchers who share your interests and passion for Robotics and AI.

Available Levels of Study

The position is open to students with a Master's degree in related fields, such as Reinforcement Learning, Robotics, and AI. The student will be enrolled in the Ph.D. program at the University of Würzburg (JMU), which is one of the top research universities in Germany.

Financial Support

The Ph.D. student will receive a monthly salary of € 4,601.13 (before tax) for a period of 36 months. The position also includes social benefits, such as health insurance and pension contributions. Additionally, the student will have access to funds for conference travel and other research-related expenses.

Eligibility Criteria

The ideal candidate for this position should have a Master's degree in related fields, such as Reinforcement Learning, Robotics, and AI. The candidate should have a strong interest in Reinforcement Learning and its application to robotics problems. Additionally, the candidate should have excellent programming skills and be proficient in one or more programming languages, such as Python, C++, or Java.

How to Apply

Interested candidates should send their application documents, including a CV, a motivation letter, academic transcripts, and contact information for two references, to Prof. Dr. Carlo D'Eramo, at the email address listed in the job post ( The application deadline is April 30, 2023.

Additional Information

For more information about the position, please refer to the complete job post, available at:

Categories: PhD,