You are interested in joining the team of the newly established ASN Group?

Great! We are looking for support in teaching. Initially, this concerns mostly our new course on "Modelling and Identification of Dynamical Systems", but potentially extends to other teaching duties in the future. Here, the student assistant shall support us, e.g., by creating practical examples and exercises.

Your Responsibilities:

• Development of practical examples in the field of "Identification and Modelling of Dynamical Systems" using Python.
• Assistance in creating exercises.
• Help in developing exercise sheets and lecture slides in LaTeX.
• Support in the organisation of the course.

Your Profile:

• Bachelor's degree in Electrical Engineering or a related field.
• Proficiency in Python and libraries such as NumPy and pandas. Experience with scikit-learn, TensorFlow, PyTorch, or similar tools is advantageous.
• Strong knowledge of systems theory. Experience in the field of modeling and identification of dynamic systems is desirable.
• Experience in LaTeX. Familiarity with the tikZ package for generating graphics is beneficial.
• Proficiency in written and spoken English.

Conditions:

• 30 hours per month working time.
• Modern workplace at the ASN Students Lab.

Sounds interesting?

Then apply by sending us an email to asn[at]uni-kassel[dot]de with a brief description about yourself and some words about why you would like to work with us. Please also attach a tabular curriculum vitae, your Bachelor certificate (with grades), and a transcript from your current Master studies.

We expressly welcome applications from structurally discriminated people, including those who identify as BIPoC, FLINTA*, individuals with a (family) history of migration, people with disabilities, chronic illnesses, caring responsibilities, non-academic children, and individuals who are discriminated against based on their religion or ethnic origin. We also welcome applications from people of all ages!