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Professorship in Data Science and Artificial Intelligence(m/w/x)
Teaching modules for applied, interactive AI-core learning across classroom, blended, and online formats. PhD (magna cum laude or equivalent) and 2 years non-university experience required. Creative freedom in curriculum development.
Anforderungen
- Completed university degree and PhD (magna cum laude or equivalent)
- Pedagogical aptitude for teaching in English
- Minimum of 3 years professional experience
- At least 2 years outside the university sector
- Relevant practical experience in data science, AI development, or algorithm design
- Experience in acquiring third-party funding
Aufgaben
- Teach modules in classroom, blended, and online formats
- Supervise students and accept examinations
- Participate in the development of study programs
- Ensure quality assurance and accreditation procedures
- Conceive, create, and adapt teaching and learning materials
- Develop a personal research profile and publish results
- Initiate and maintain partnerships with industry and research
- Engage in academic administration and committee work
- Participate in student recruitment events
- Teach Data Science Fundamentals
- Teach Machine Learning & Deep Learning
- Teach Advanced Artificial Intelligence
- Teach Natural Language Processing (NLP)
- Teach Computer Vision and Image Processing
- Teach Big Data Technologies
- Teach Ethical & Responsible AI
Berufserfahrung
- 3 - 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Benefits
Abwechslungsreiche Aufgaben
- Versatile work environment
Lockere Unternehmenskultur
- Creative freedom
Weiterbildungsangebote
- Personal and professional development
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- GUS GermanyVollzeitnur vor OrtBerufserfahrenPotsdam, Berlin
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Professorship in Data Science and Artificial Intelligence(m/w/x)
Teaching modules for applied, interactive AI-core learning across classroom, blended, and online formats. PhD (magna cum laude or equivalent) and 2 years non-university experience required. Creative freedom in curriculum development.
Anforderungen
- Completed university degree and PhD (magna cum laude or equivalent)
- Pedagogical aptitude for teaching in English
- Minimum of 3 years professional experience
- At least 2 years outside the university sector
- Relevant practical experience in data science, AI development, or algorithm design
- Experience in acquiring third-party funding
Aufgaben
- Teach modules in classroom, blended, and online formats
- Supervise students and accept examinations
- Participate in the development of study programs
- Ensure quality assurance and accreditation procedures
- Conceive, create, and adapt teaching and learning materials
- Develop a personal research profile and publish results
- Initiate and maintain partnerships with industry and research
- Engage in academic administration and committee work
- Participate in student recruitment events
- Teach Data Science Fundamentals
- Teach Machine Learning & Deep Learning
- Teach Advanced Artificial Intelligence
- Teach Natural Language Processing (NLP)
- Teach Computer Vision and Image Processing
- Teach Big Data Technologies
- Teach Ethical & Responsible AI
Berufserfahrung
- 3 - 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Benefits
Abwechslungsreiche Aufgaben
- Versatile work environment
Lockere Unternehmenskultur
- Creative freedom
Weiterbildungsangebote
- Personal and professional development
Über das Unternehmen
XU Exponential University
Branche
Education
Beschreibung
XU Exponential University is a dynamic, state-recognized University of Applied Sciences focused on applied, interactive AI-core learning.
Noch nicht perfekt?
- GUS Germany
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