Junior Professorship for Ai-supported Innovation

vor 2 Monaten

Ansbach, Deutschland Hochschule für angewandte Wissenschaften Ansbach Vollzeit

at the faculty of technology

Commencing on April 01, 2024

**Reference no.**: 2023-63-KIM

Sustainability, Artificial Intelligence, Virtual Reality Technology and more. At the young, well-established Ansbach University of Applied Sciences, we deal with forward-looking topics in the fields of business, media and technology in research and teaching. The university's students, teaching staff and other employees are always the center of our attention. With 3 900 students in 35 degree programs, we offer excellent opportunities as a modern employer.

Are you aiming for a professorship at a university of applied sciences, but do not yet meet all the legal requirements for an appointment? Then Ansbach University of Applied Sciences offers you a new career path with a junior professorship in the doctoral model, at the end of which you will ideally have acquired the qualification for a professorship at an UAS - in this model the DOCTORATE DEGREE.

Your duties include

**At Ansbach University**:

- Taking over teaching responsibilities for 4 semester hours per week in the field of AI-supported innovation management, and willingness to teach courses in the areas of Artificial Intelligence, as well as in programming.
- Proactive acquisition of third-party funding through research and transfer activities
- High-quality supervision of practical assignments, Bachelor's and Master's theses as well as doctorates
- Involvement in setting up new international partnerships and maintaining existing ones
- Active and interdisciplinary involvement in administering academic affairs

**At ITONICS (20 hours per week)**:

- Participation in the applied research project "Innovation Ecosystems"
- Goal: AI-supported identification of new technologies (Technology Scouting), companies (Stakeholder Analysis), and other environmental influences in highly dynamic markets (Understanding Innovation Ecosystems). Systematic coordination and collaboration with various stakeholders within the innovation ecosystem, to successfully introduce technological innovations to the market (Placing innovations within the ecosystem).

You offer
- In-depth practical knowledge in the use of innovation management software
- Knowledge in the field of applied artificial intelligence
- Knowledge of the analysis of ecosystems is desirable
- Initial experience in the academic world (e.g. publications, research proposals, acquisition of third-party funding)
- Very good German and English proficiency and ability and willingness to teach in German and in English
- Enthusiasm for passing on your practical experience in teaching applied research to our students as future academics

We offer
- If the requirements are met, temporary employment under private law from April 01 2024 until March, 31 2027
- Support for the PhD project
- Services for dual career couples through the Dual Career Netzwerk Nordbayern (dual career network for northern Bavaria)
- Freedom to research and teach innovative topics
- Possibility to obtain research and third-party funding for practice-oriented projects and to conduct these projects
- Good framework conditions for your individual work-life-balance
- Fostering of talents and potentials with a focus on gender equality and creativity
- Attractive internal and external further training courses and a wide range of health, preventative and advisory services
- Modern infrastructure at attractive university locations
- An open communication culture in which diversity is lived and encouraged

Recruitment pursuant to Article 57 (3) to the BayHIG
- Completed university degree
- Mature teaching skills and convincing pedagogical aptitude

We strive to increase the proportion of women as they are underrepresented, particularly in academic positions (Article 7 (3) of the Bavarian equal treatment act (BayGlG)). We are committed to equality of opportunity and to a proactive and inclusive approach which supports all under-represented groups. Severly disabled applicants are underrepresented and will be given preference in the case of equal qualification, ability and professional achievements. The selection process uses aptitude diagnostics provided by an external HR consultancy. You will be employed without public servant status.

More information available at

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