Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Teach Data Science and AI courses, supervise students, and lead research projects.
- Arbeitgeber: Join the University of Europe for Applied Sciences, a dynamic and international institution in Potsdam.
- Mitarbeitervorteile: Enjoy vacation days, online language courses, and vibrant campus events.
- Warum dieser Job: Shape the future of Data Science while collaborating with diverse minds in an innovative environment.
- Gewünschte Qualifikationen: Master's degree, PhD, and at least three years of relevant professional experience required.
- Andere Informationen: We encourage women and minorities to apply; equal opportunity employer.
Das voraussichtliche Gehalt liegt zwischen 48000 - 72000 € pro Jahr.
For our Faculty of Business in Potsdam, we are looking for a full-time (40h/week):
Professor for Data Science (m/f/d)
You should be able to demonstrate excellent knowledge of new trends and applications in the field of Data Science as well as in teaching students from various cultures.
Key Activities & Responsibilities:
Conducting introductory and advanced courses in the areas of Data Science, and Artificial Intelligence
Planning and implementation of research and development projects including publication activities in the field of Data Science and Digital Business
Advising and supervising students
Grading student work, supervising seminars, projects, bachelor, master and doctoral theses
Establishing partnerships with companies and institutions to further grow the network of the University at the Berlin location
Administrative activities and committee work
Advising prospective students
Requirements for professorship:
University studies completed with a master’s degree
Proof of extraordinary qualifications for scientific work in the form of an outstanding doctorate and/or outstanding scientific publications
Qualified professional experience in the field of the professorship, at least three years, two of them outside of a university
Your profile:
Experience in Mathematics and Statistics as well as programming with Python, R, and SQL, etc.
Strong understanding of machine learning algorithms, deep learning, NLP, and model evaluation
Knowledge of data wrangling, cleaning, and transformation techniques; experience with databases and big data technologies
Work experience in international and national companies
Ability to teach courses in English language
Publication and research activity desired
Strong ability to communicate and work in a team
Organizational skills and eagerness to work together to advance the success and growth of the University
What we offer:
Opportunity to work with a great team in a dynamic and international environment
Days of vacation according to the working days/week
Various online language courses and opportunities to participate in online collaboration courses
Numerous campus events from the fields of art, culture, business and science
Opportunity to develop and implement new ideas and concept
Interested?
Then we look forward to receiving your application!
The hiring requirements for a professorship are based on the provisions of §41 of the university law of the Federal State of Brandenburg/Germany. The award of the title Professor by the University of Applied Sciences of Europe is contingent on the approval of the Ministry of Science, Research, and Culture of the Federal State of Brandenburg/Germany.
We need the following documents to review your application:
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.
Please email the application to before 15th of January 2025
Your contact for professional questions:
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 based on ethnic origin, colour, religion, gender, sexual orientation, gender identity, national origin, disability or legally protected status.
For more information about our network, please visit: our careers website: date: 18.11.2024
University of Europe for Applied Sciences (UE) | Professor for Data Science (m/f/d) Arbeitgeber: University of Europe for Applied Sciences (UE)
Kontaktperson:
University of Europe for Applied Sciences (UE) HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: University of Europe for Applied Sciences (UE) | Professor for Data Science (m/f/d)
✨Tip Number 1
Make sure to highlight your experience in teaching Data Science and related subjects. Showcase any innovative teaching methods you've used, especially in diverse cultural settings, as this aligns with the university's focus on international students.
✨Tip Number 2
Network with professionals in the field of Data Science and academia. Attend conferences or workshops where you can meet faculty members from the University of Europe for Applied Sciences and discuss your research interests and potential collaborations.
✨Tip Number 3
Prepare to discuss your research projects and publications in detail during the interview. Be ready to explain how your work contributes to the field of Data Science and how it can benefit the university's research goals.
✨Tip Number 4
Familiarize yourself with the university's current partnerships and research initiatives. This knowledge will help you articulate how you can contribute to expanding their network and enhancing their academic offerings.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: University of Europe for Applied Sciences (UE) | Professor for Data Science (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Requirements: Make sure you thoroughly understand the requirements for the professorship. Highlight your qualifications, including your doctoral degree and relevant publications, as well as your professional experience in Data Science.
Tailor Your CV: Customize your CV to emphasize your teaching experience, research projects, and any relevant courses you've conducted. Include specific examples of your work with Python, R, SQL, and machine learning algorithms.
Prepare Supporting Documents: Gather all necessary documents such as your doctoral degree certificate, a comprehensive list of your publications, an overview of courses taught, and teaching evaluations. Ensure these documents are well-organized and clearly presented.
Craft a Strong Cover Letter: Write a compelling cover letter that outlines your passion for teaching and research in Data Science. Mention your ability to work in an international environment and your commitment to advancing the university's goals.
Wie du dich auf ein Vorstellungsgespräch bei University of Europe for Applied Sciences (UE) vorbereitest
✨Showcase Your Expertise
Be prepared to discuss your knowledge of current trends in Data Science and how you've applied them in your previous roles. Highlight specific projects or research that demonstrate your expertise in machine learning, deep learning, and data wrangling.
✨Engage with Cultural Diversity
Since the role involves teaching students from various cultures, share your experiences working in diverse environments. Discuss how you adapt your teaching methods to cater to different learning styles and backgrounds.
✨Demonstrate Your Teaching Skills
Prepare to present a brief teaching demonstration or outline how you would structure a course in Data Science. This will showcase your ability to communicate complex concepts clearly and effectively.
✨Discuss Your Research Vision
Articulate your vision for future research and development projects. Be ready to discuss potential collaborations with industry partners and how you plan to contribute to the university's growth and reputation in the field of Data Science.
