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Location

Garbsen | Germany

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Job description

Doctoral Candidate (m/f/d) in Mechatronic Systems

(Salary Scale 13 TV-L, 100 %)

The Institute of Mechatronic Systems invites applications for the position of a Doctoral Candidate (m/f/d) in Mechatronic Systems (Salary Scale 13 TV-L, 100 %) starting as soon as possible. The position is initially limited to three years, with the possibility of extension to enable the completion of a doctorate.

The Institute of Mechatronic Systems (imes) performs research on design, optimization and control of complex mechatronic systems and comprises three research groups: Robotics & Autonomous Systems, Identification & Control and Medical Technology & Image Processing. It is committed to excellence in research and teaching and to the active promotion of young scientists.

Responsibilities and duties

As part of a highly motivated and collaborative team, you will be involved in current research and teaching activities at the institute including the following responsibilities and activities.

Research:
You will develop new methods and algorithms within the scope of

• the combination of control and machine learning methods,
• dynamic inference and learning,
• estimation and sensor fusion,
• machine learning for data analytics.

You will apply and further develop these methods in challenging automotive, robotic, or biomedical systems. You will publish and present your scientific results at international recognized conferences and in journals.

Teaching:
As part of the team, you will support the institute’s teaching activities on the Bachelor’s and Master’s level, including the organization and improvement of teaching courses, holding exercises and laboratories as well as supervision of Bachelor’s and Master’s theses.

What we offer

At the Institute of Mechatronic Systems, you will become part of a supportive interdisciplinary team that highly values your ideas and contributions. We encourage your aspirations for excellent research and for completing a doctorate, and we provide the pathway, mentorship and support needed for these achievements. Together we will push the boundaries of our research field.

Employment conditions

To qualify for the position, applicants are expected to fulfill the following criteria:

• Master's degree in Engineering or a closely related field, including Computer Science, Physics, and Applied Mathematics
• demonstrated excellent performance in Master’s studies, with grades clearly above average, is desirable
• substantial prior knowledge and experience in the methodological fields or application domains mentioned under “Research” above, as demonstrated, e.g., by a very good Master’s thesis on a related topic
• strong analytical skills and problem solving capabilities
• high motivation and willingness to work in an interactive and interdisciplinary team
• solid background in programming in python or Matlab
• very good communication skills in both written and spoken English
• enthusiasm about teaching and advising Bachelor and Master students

Additional desirable qualifications include: prior knowledge in machine learning or systems and control theory; prior knowledge in rapid prototyping, electronics, construction of a test bench; experience in writing scientific publications, grant writing, or in teaching and advising students.

Leibniz University Hannover considers itself a family-friendly university and therefore promotes a balance between work and family responsibilities. Part-time employment can be arranged upon request.

The university aims to promote equality between women and men. For this purpose, the university strives to reduce under-representation in areas where a certain gender is under-represented. Women are under-represented in the salary scale of the advertised position. Therefore, qualified women are encouraged to apply. Moreover, we welcome applications from qualified men. Preference will be given to equally-qualified applicants with disabilities.

Please submit your application including all documents that support your qualification according to the aforementioned criteria by 21.03.2024 as a single pdf file to

#J-18808-Ljbffr

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Job tags

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Salary