Professor for Data and Knowledge Engineering | Data Engineer (m/w/d)
Hochschule für angewandte Wissenschaften München
Job Summary
This role seeks an engaged individual to lead teaching and applied research in Data and Knowledge Engineering at a prominent German university. The successful candidate will bring strong scientific expertise and professional experience, preferably from an industrial background, to educate students in areas such as W3C standards (RDF, OWL, SPARQL), Semantic Web technologies, data extraction, classification methods, rule-based systems, intelligent assistants, and Industry 4.0. The position involves active participation in curriculum development, internationalization efforts, and university self-governance, alongside a commitment to continuous didactic training and the implementation of innovative teaching methods. This is an attractive opportunity for a solution-oriented, innovative, and empathetic professional eager to shape the future of data and knowledge engineering within an interdisciplinary academic environment.
Required Skills
Education
Completed university degree, Pedagogical aptitude, Doctorate degree or equivalent scientific achievement
Experience
- Professional experience in Data and Knowledge Engineering, preferably in an industrial context
- At least five years of professional practice after completing higher education, with a minimum of three years outside the higher education sector (or equivalent cooperation experience)
Languages
Additional
- Not specified