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W2-Professorship „Artificial Intelligence and Software Engineering(m/w/x)
Teaching AI, machine learning, and distributed systems at Germany's first zero-emission campus. PhD in computer science with Generative AI experience required. Family-friendly campus with childcare options.
Requirements
- Completed university degree in computer science
- Scientific expertise in AI and machine learning methods
- Professional experience in developing distributed software systems
- Professional experience in applying AI in software development
- Experience in Generative AI, deep learning
- Experience in Autonomous AI agents, multi-agent systems
- Experience in Industrial software development, CI/CD pipelines
- Experience in Virtualization, containerization
- Experience in Edge computing and embedded systems
- Excellent German language skills (C2)
- Sound knowledge of English
- Willingness to teach interdisciplinary basic courses
- Willingness to conduct courses in English
- Pedagogical aptitude (teaching, training, continuing education)
- Special aptitude for scientific work (qualified doctorate)
- Special achievements in application/development of scientific knowledge
Tasks
- Teach courses in software engineering and distributed systems
- Teach courses in operating systems at the bachelor's level
- Teach courses in optimization and machine learning at the master's level
- Offer courses in German and English
- Participate in academic self-administration
- Manage and develop the AI laboratory
- Conduct laboratory-based courses and transfer events
- Acquire third-party funding
- Participate in cooperative research projects
- Collaborate with companies and regional institutions
- Promote knowledge and technology transfer
- Build on the previous incumbent's project acquisition
- Contribute to the Institute for Software Systems
- Cooperate with other scientific institutions and working groups
- Enhance the university's research profile
- Participate in the doctoral cluster ‘Applied Computer Science’
- Develop a teaching concept for software practicum
- Develop a teaching concept for optimization and machine learning
- Propose an additional course in your teaching concept
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- German – Native
- English – Business Fluent
Tools & Technologies
- AI
- machine learning
- Generative AI
- deep learning
- CI/CD pipelines
- Virtualization
- containerization
- Edge computing
- embedded systems
Benefits
Learning & Development
- Continuing education opportunities
Family Support
- Family-friendly university certification
- Family Service support
Childcare
- Childcare options
Other Benefits
- Dual Career Service support
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W2-Professorship „Artificial Intelligence and Software Engineering(m/w/x)
Teaching AI, machine learning, and distributed systems at Germany's first zero-emission campus. PhD in computer science with Generative AI experience required. Family-friendly campus with childcare options.
Requirements
- Completed university degree in computer science
- Scientific expertise in AI and machine learning methods
- Professional experience in developing distributed software systems
- Professional experience in applying AI in software development
- Experience in Generative AI, deep learning
- Experience in Autonomous AI agents, multi-agent systems
- Experience in Industrial software development, CI/CD pipelines
- Experience in Virtualization, containerization
- Experience in Edge computing and embedded systems
- Excellent German language skills (C2)
- Sound knowledge of English
- Willingness to teach interdisciplinary basic courses
- Willingness to conduct courses in English
- Pedagogical aptitude (teaching, training, continuing education)
- Special aptitude for scientific work (qualified doctorate)
- Special achievements in application/development of scientific knowledge
Tasks
- Teach courses in software engineering and distributed systems
- Teach courses in operating systems at the bachelor's level
- Teach courses in optimization and machine learning at the master's level
- Offer courses in German and English
- Participate in academic self-administration
- Manage and develop the AI laboratory
- Conduct laboratory-based courses and transfer events
- Acquire third-party funding
- Participate in cooperative research projects
- Collaborate with companies and regional institutions
- Promote knowledge and technology transfer
- Build on the previous incumbent's project acquisition
- Contribute to the Institute for Software Systems
- Cooperate with other scientific institutions and working groups
- Enhance the university's research profile
- Participate in the doctoral cluster ‘Applied Computer Science’
- Develop a teaching concept for software practicum
- Develop a teaching concept for optimization and machine learning
- Propose an additional course in your teaching concept
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- German – Native
- English – Business Fluent
Tools & Technologies
- AI
- machine learning
- Generative AI
- deep learning
- CI/CD pipelines
- Virtualization
- containerization
- Edge computing
- embedded systems
Benefits
Learning & Development
- Continuing education opportunities
Family Support
- Family-friendly university certification
- Family Service support
Childcare
- Childcare options
Other Benefits
- Dual Career Service support
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Hochschule Trier University of Applied Sciences - Umwelt-Campus Birkenfeld
Industry
Education
Description
The university offers attractive degree programs and has high research activity and funding in Rhineland-Palatinate.
Not a perfect match?
- Hochschule Trier University of Applied Sciences - Umwelt-Campus Birkenfeld
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