Tasks

• Contributing to the development of a relatively new course of study at the university, together with a motivated team.
• Support in the preparation and follow-up of lectures, in the supervision of project and seminar work, and in the creation of blended learning content and concepts.
• Independent conception, preparation and delivery of teaching in the field of applied artificial intelligence
• Professional supervision of students (e.g., in practical projects, term papers and theses)
• Participation in research projects of the department, preferably in the field of artificial intelligence.

Requirements

• Successfully completed university studies (Master's degree or university diploma) in computer science or related fields
• Good knowledge in various areas of machine learning or artificial intelligence, preferably in the field of speech processing, audio-visual machine learning methods or the application of machine learning methods in a medical context
• Teaching experience is an advantage.
• research methodology training and interest
• Advanced application knowledge of Python and machine learning is desirable.
• Enjoyment of and experience in respectful interaction with students
• Teamwork skills and willingness to cooperate
• Reliability and commitment
• strong analytical and communicative skills
• independent, forward-looking and proactive work style

Terms and conditions

The part-time employment contract (50%) is based on the collective agreement for the public service of the German federal states (TV-L). The initial appointment is for a fixed term of one year for the purpose of carrying out preparatory measures for a doctoral degree. Depending on the candidate's qualifications, there is the option of an extension of up to four further years. The acquired university degree must be suitable for the doctoral project in accordance with the doctoral regulations. Working hours and location can be arranged flexibly within the framework of an existing model.

Application

For further information, please contact Prof. Dr. Stefan Goetze, Tel.: 02371 566-1053.

Applications from women are expressly encouraged and, in accordance with the North Rhine-Westphalia State Equal Opportunities Act, will be given preferential consideration if they are equally qualified, capable, and professionally competent, unless there are overriding reasons relating to a male applicant. Applications from suitable severely disabled persons and those with equivalent status as defined in Section 2 Paragraph 3 Part 1 of the German Social Code, Book IX (SGB IX), are also welcome.