Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Teilzeit / Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Potsdam
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle gestaltest du praktische Lehrmodule in Data Science, betreust Studierende und führst interdisziplinäre Projekte in Datenanalyse, Machine Learning und Cloud Computing durch.
Deine Rolle im Team
- We are looking for a new colleague to join our Business Faculty in Potsdam on a full-time or part-time basis starting 01.06.2026, who shares our vision of excellence in education and is committed to making a difference in the lives of our students and staff.
- In this exciting role, you'll deliver engaging and practical modules, leverage your expertise to create real-world connections, and foster an inclusive learning experience that values diverse and creative problem-solving.
- You'll play an instrumental role in delivering high-quality, future-oriented education, empowering students to develop the skills and mindset needed to thrive in a globalized and rapidly evolving world.
- Your contributions will have a lasting impact on the academic journey of your students and support the continued growth of both the university and its vibrant international community.
- Conducting introductory and advanced courses in the areas of Data Analytics, Data Engineering, Machine Learning and Cloud Computing.
- Planning and implementing interdisciplinary research and development projects.
- Advising and supervising students to help them achieve their goals.
- Grading student work, supervising seminars, projects, and bachelor/master theses ensuring high academic and didactic standards.
- Establishing industry collaborations and partnerships to further grow the network of the University.
- Participate in university administration and committee work, actively supporting the success of UE.
- Contributing to the conceptual design of new study programmes and the continuous development of existing curricula.
- Advising prospective students and contributing to UE's outreach activities.
Unsere Erwartungen an dich
Ausbildung
- University studies completed with a Master's degree or equivalent in the area of the Visiting Professorship, or a related field.
- At least three years of qualified professional experience, with two years outside of a university, in the area of the Visiting Professorship, or related domains.
Qualifikationen
- Proof of exceptional aptitude for scientific work, usually demonstrated by the quality of a doctorate and/or the quality of scientific publications.
- Ability to teach courses in English language.
- Ability to teach courses in German language is an advantage.
- Publication and research activity is a strong asset.
- Commitment to applied research, student engagement, and curriculum innovation.
- Strong ability to communicate and work in a team.
Erfahrung
- Experience in teaching courses in the areas of Data Analytics, Data Engineering, Machine Learning and Cloud Computing.
- National and international work experience.
Unser Angebot
- Opportunity to work with a great team in a dynamic and international environment.
- Creative freedom to develop and implement new ideas and teaching formats.
- Access to research funding and professional networks across GUS.
- Preventive and aftercare health care options.
- 30 days of vacation.
- Opportunities for continuous professional development and online training.
- A collaborative environment where innovation and diversity are valued.
- Numerous campus events from the fields of art, culture, business and science.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
GUS Germany GmbH
Wir stellen mit der GUS-OS Suite ein ganzheitlich-integriertes ERP-System für die Prozessindustrie sowie für die Logistik bereit. Inklusive Customer Relationship Management (CRM), Qualitätsmanagement, Finance und Controlling, Business Intelligence (BI) und Dokumentenmanagement. Zukunft beginnt bei uns schon heute. Mit unserer Lösung ist es möglich, externe Daten und Prozesse von Kunden und Lieferanten auf der ganzen Welt einzubinden. Damit ermöglichen wir einen smarten Einstieg in die Digitale Transformation.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Onsite
- Branche
- Internet, IT, Telekom
Guest Professor of Data Science
- Ort
- Potsdam
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
