Guest Professor of Data Science (m, f, d) at Global University Systems Medical Schools

Potsdam, Brandenburg, Germany -

Full Time

Start Date

Immediate

Expiry Date

02 Aug, 26

Salary

0.0

Posted On

04 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Data Engineering, Machine Learning, Cloud Computing, Curriculum Development, Academic Research, Student Supervision, English Language Proficiency, German Language Proficiency, Interdisciplinary Project Management, University Administration, Industry Collaboration

Industry

Higher Education

Description

Your Responsibilities The opportunity: 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. Key Activities & Responsibilities: 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 Requirements for a guest professorship: University studies completed with a Master’s degree or equivalent in the area of the Visiting Professorship, or a related field Proof of exceptional aptitude for scientific work, usually demonstrated by the quality of a doctorate and/or the quality of scientific publications 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 Your profile Experience in teaching courses in the areas of Data Analytics, Data Engineering, Machine Learning and Cloud Computing National and international work experience 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 Why us? 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 Interested? We look forward to receiving your application! The hiring requirements for a guest professorship are based on the provisions of § 57 of the university law of the Federal State of Brandenburg/Germany (BbgHG). Visiting Professors must fulfil the requirements set out in § 43 BbgHG. How to Apply: Please submit your application, including the following documents, to karriere@gusgermany.de · Curriculum vitae · Doctoral degree certificate and/or comprehensive list of publications · Overview of courses given to date (scope, topic) as well as teaching evaluations · Work certificates/professional references (incl. work hours). Your contact for professional questions: Prof. Dr. Rand Kouatly - rand.kouatly@ue-germany.com The university aims to increase the proportion of women among its employees. Therefore, we expressly invite women with a suitable profile to apply. As an employer, we are committed to equal opportunity and support for minorities and do not discriminate on the basis of ethnic origin, colour, religion, gender, sexual orientation, gender identity, national origin, disability or legally protected status. About us GUS Germany GmbH (GGG) is an innovative and dynamic network of world-class higher education institutions that is committed to empowering students with the knowledge and skills they need to make a positive impact in the world. Our mission is to foster visionary leaders who can drive meaningful change for society. With a strong presence in Germany, Europe, and beyond, GGG is made up of several well-known brands, including UE (University of Europe for Applied Sciences), BSBI (Berlin School of Business & Innovation), htk academy, and GISMA University for Applied Sciences. Our thriving student body of over 10,000 learners across our institutions benefits from a wide range of academic disciplines, such as business, technology, data science, engineering, sports, and fine arts. As part of the Global University Systems (GUS) network, which comprises over 48 universities across Europe, the USA, Australia, Asia, and South America, with over 87,000 students, we are dedicated to providing exceptional learning experiences to our students. At GGG, we are committed to creating a supportive and inclusive work environment where everyone can thrive. Our employees play a vital role in ensuring that our students succeed at every step of their career path. Join our team and be a part of a culture of innovation and excellence in education. www.gusgermany.com

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Responsibilities

Deliver introductory and advanced courses in Data Science and Cloud Computing while supervising student theses and seminars. Establish industry partnerships and contribute to the conceptual design of new study programs and curricula.