Research Associate (m/f/d) with prospective appointment full-time – E 14 TV-L HU (third-party funding limited until 30.11.2025)
- Kennziffer
- DR/081/22
- Kategorie(n)
- Wissenschaftliches Personal
- Anzahl der Stellen
- 1
- Einsatzort
Faculty of Mathematics and Natural Sciences – Institute of Computer Science
- Bewerbung bis
- 31.08.22
- Text
Responsibilities:
- Research within the AI-SKILLS project
- Project coordination and team management
- Project communication
- Participation in the expansion of existing and in the development of new AI teaching-learning settings, especially for the departments of computer science and natural sciences
- Focus on the evaluation and reproducibility of AI methods
Requirements:
- PhD in computer science
- Proven knowledge and skills in artificial intelligence (machine learning), ideally with a focus on evaluation and reproducibility
- Teaching experience, ideally didactic training/education
- Experience in hosting and managing events
- Experience in managing projects or leadership experience
- Experience in coordination and cooperation in collaborative research projects
- Very good communication, cooperation and organizational skills
- Very good German and good English skills, both written and spoken
- Very good resilience and social skills
- Above-average organizational talent, flexibility
- Confident public appearance
- Bewerbung an
Please send your application (including cover letter, curriculum vitae, relevant certificates) using the reference number DR/081/22 to the Humboldt-Universität zu Berlin, Faculty of Mathematics and Natural Sciences, Institute of Computer Science, Prof. Robert Jäschke, Unter den Linden 6, 10099 Berlin, or preferably by e-mail in a PDF file to: robert.jaeschke@hu-berlin.de. We expressly refrain from submitting application photos and therefore ask you to refrain from doing so.
To ensure equal opportunities, applications from qualified women are especially welcome. Severely disabled persons will be given preference in the case of equal suitability. Applications from people with a migration background are expressly welcome. As we do not return your documents, we kindly ask you to enclose only copies with your application.
You will find data protection information on the processing of your personal data in the context of the advertisement and selection process on the homepage of Humboldt-Universität zu Berlin: https://hu.berlin/DSGVO.