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Guest Professor of Data Science(m/w/x)
Teaching Data Analytics, Data Engineering, Machine Learning, and Cloud Computing courses. Planning interdisciplinary research projects and advising students. Master's degree and 3+ years teaching experience required. 30 days vacation, preventive healthcare.
Requirements
- Master’s degree or equivalent in Visiting Professorship area
- Exceptional aptitude for scientific work
- At least three years qualified professional experience
- Experience teaching Data Analytics, Data Engineering, Machine Learning, Cloud Computing
- National and international work experience
- Ability to teach courses in English
- Ability to teach courses in German language is an advantage
- Publication and research activity is a strong asset
- Commitment to applied research, student engagement, curriculum innovation
- Strong communication and teamwork skills
- Fulfil requirements set out in § 43 BbgHG
Tasks
- Conduct introductory and advanced courses in Data Analytics, Data Engineering, Machine Learning, and Cloud Computing
- Plan and implement interdisciplinary research and development projects
- Advise and supervise students to help them achieve their goals
- Grade student work and supervise seminars, projects, and theses
- Establish industry collaborations and partnerships
- Participate in university administration and committee work
- Contribute to the conceptual design of new study programs
- Develop existing curricula continuously
- Advise prospective students
- Contribute to UE’s outreach activities
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Data Analytics
- Data Engineering
- Machine Learning
- Cloud Computing
Benefits
Healthcare & Fitness
- Preventive and aftercare health care
More Vacation Days
- 30 days of vacation
Learning & Development
- Continuous professional development
- Online training
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Guest Professor of Data Science(m/w/x)
Teaching Data Analytics, Data Engineering, Machine Learning, and Cloud Computing courses. Planning interdisciplinary research projects and advising students. Master's degree and 3+ years teaching experience required. 30 days vacation, preventive healthcare.
Requirements
- Master’s degree or equivalent in Visiting Professorship area
- Exceptional aptitude for scientific work
- At least three years qualified professional experience
- Experience teaching Data Analytics, Data Engineering, Machine Learning, Cloud Computing
- National and international work experience
- Ability to teach courses in English
- Ability to teach courses in German language is an advantage
- Publication and research activity is a strong asset
- Commitment to applied research, student engagement, curriculum innovation
- Strong communication and teamwork skills
- Fulfil requirements set out in § 43 BbgHG
Tasks
- Conduct introductory and advanced courses in Data Analytics, Data Engineering, Machine Learning, and Cloud Computing
- Plan and implement interdisciplinary research and development projects
- Advise and supervise students to help them achieve their goals
- Grade student work and supervise seminars, projects, and theses
- Establish industry collaborations and partnerships
- Participate in university administration and committee work
- Contribute to the conceptual design of new study programs
- Develop existing curricula continuously
- Advise prospective students
- Contribute to UE’s outreach activities
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Data Analytics
- Data Engineering
- Machine Learning
- Cloud Computing
Benefits
Healthcare & Fitness
- Preventive and aftercare health care
More Vacation Days
- 30 days of vacation
Learning & Development
- Continuous professional development
- Online training
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
University of Europe for Applied Sciences
Industry
Education
Description
Die GUS Germany GmbH ist ein Netzwerk von Hochschuleinrichtungen, das Studierenden Wissen und Fähigkeiten vermittelt, um einen positiven Einfluss auf die Welt zu nehmen. Sie fördert visionäre Führungskräfte, die gesellschaftliche Veränderungen vorantreiben.
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