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- Aufgaben: Teach and research data science topics like AI and optimization at a leading business school.
- Arbeitgeber: Join ESCP Business School, the oldest business school in the world, with a focus on innovation.
- Mitarbeitervorteile: Collaborate internationally, contribute to executive education, and enjoy a vibrant academic community.
- Warum dieser Job: Shape future leaders in data science while working in a dynamic, entrepreneurial environment.
- Gewünschte Qualifikationen: PhD with strong research and teaching experience in data science; willingness to learn German is a plus.
- Andere Informationen: Applications due by January 13, 2025; position starts Fall Term 2025.
Das voraussichtliche Gehalt liegt zwischen 72000 - 100000 € pro Jahr.
About ESCP Business School: ESCP Business School is an international business school with campuses in 6 European metropolises. Founded in 1819, ESCP is the oldest business school in the world. To date, the business school is regularly awarded with top positions in the Financial Times rankings. ESCP Berlin’s academic focus lies on the topics of entrepreneurship, sustainability, and digitalization.
Position: Professor (W3) in Data Science (f/m/d)
ESCP Business School is a leading European business school with a strong international presence, offering a range of undergraduate, graduate, and executive programs. Our Berlin campus is a hub for innovative and entrepreneurial thinking, with a focus on sustainability, digitalisation, and internationalisation. The position will commence in the Fall Term of 2025.
ESCP Business School Berlin is seeking candidates with topic expertise and teaching competence in the field of data science. Applicants should have expertise in topics such as advanced data analysis, artificial intelligence, optimization, simulation, and decision science. Candidates should have demonstrated excellence in research and teaching in at least one of these areas, regardless of the field of specialization.
Requirements: The ideal candidate should be excellent in research and teaching: They have published their research in leading international journals and demonstrated very good pedagogical skills (as evidenced e.g. through teaching evaluations). Experience in teaching data science courses at different levels of study is highly appreciated. The willingness to contribute to executive education programs is especially valued, as ESCP Business School places significant importance on equipping professionals and business leaders with cutting-edge skills and knowledge. Although it is possible to teach all courses in English, a willingness to learn German is encouraged and will be considered a positive attribute.
Collaboration is a key component of the role, as the successful candidate will have the opportunity to work closely with colleagues from our network of ESCP Business School’s campuses in London, Madrid, Paris, Turin, and Warsaw. Moreover, candidates should demonstrate strong skills in developing and maintaining relationships with companies and professional organisations, helping to expand the reputation and influence of ESCP Business School Berlin and its academic programmes. A readiness to take on leadership responsibilities, such as serving as the director of an academic programme, is also desirable.
As ESCP Business School Berlin is a state-accredited, research-based business school (Wissenschaftliche Hochschule), hiring requirements of §100 BerlHG (Berliner Hochschulgesetz) apply.
Applications should include:
- a cover letter,
- a curriculum vitae, including diplomas and transcripts of records,
- a list of publications,
- a statement of teaching and research interests, and
- teaching evaluations from the past two years.
Please submit your application by January 13, 2025, in electronic form as one PDF file addressed to:
ESCP Business School, Campus Berlin
Prof. Dr. Frank Jacob – Dean and Rector
E-Mail: | ESCP Business School | Berlin Campus
For further information, feel free to contact: Prof. Dr. Maren Becker – E-Mail:
#J-18808-Ljbffr
Professor (W3) in Data Science (f/m/d) – Full time | located at Berlin Campus Arbeitgeber: ESCP Business School
Kontaktperson:
ESCP Business School HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Professor (W3) in Data Science (f/m/d) – Full time | located at Berlin Campus
✨Tip Number 1
Make sure to highlight your research and teaching excellence in data science. Focus on your publications in leading international journals and any positive teaching evaluations you have received. This will demonstrate your expertise and commitment to the field.
✨Tip Number 2
Emphasize your experience in teaching data science courses at various levels. If you have contributed to executive education programs, be sure to mention this as it is highly valued by ESCP Business School.
✨Tip Number 3
Show your willingness to collaborate with colleagues across ESCP's campuses. Highlight any previous experiences where you worked in a team or developed relationships with companies and professional organizations, as this is crucial for expanding the school's influence.
✨Tip Number 4
If you are not already proficient in German, consider starting to learn the language. While teaching can be done in English, showing a willingness to learn German will be seen as a positive attribute and can enhance your candidacy.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Professor (W3) in Data Science (f/m/d) – Full time | located at Berlin Campus
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the requirements and expectations for the Professor (W3) in Data Science position. Familiarize yourself with ESCP Business School's focus areas, such as entrepreneurship, sustainability, and digitalization.
Craft a Compelling Cover Letter: Your cover letter should highlight your expertise in data science, teaching experience, and research accomplishments. Be sure to express your enthusiasm for contributing to ESCP's mission and your willingness to engage in executive education programs.
Prepare Your CV and Supporting Documents: Ensure your CV is up-to-date and includes all relevant academic qualifications, teaching evaluations, and a comprehensive list of publications. Include diplomas and transcripts of records as required.
Submit Your Application on Time: Make sure to submit your complete application as one PDF file by the deadline of January 13, 2025. Double-check that all documents are included and formatted correctly before sending it to the specified email address.
Wie du dich auf ein Vorstellungsgespräch bei ESCP Business School vorbereitest
✨Showcase Your Research Excellence
Be prepared to discuss your research in detail, especially any publications in leading international journals. Highlight how your work aligns with the fields of advanced data analysis, artificial intelligence, or decision science.
✨Demonstrate Teaching Competence
Bring examples of your teaching evaluations and be ready to discuss your pedagogical approach. Consider sharing specific experiences where you successfully engaged students in data science courses.
✨Emphasize Collaboration Skills
Discuss your experience working with colleagues across different campuses or institutions. Highlight any collaborative projects that showcase your ability to build relationships and contribute to a team environment.
✨Express Willingness to Learn German
While teaching in English is possible, showing a willingness to learn German can set you apart. Mention any language skills you have and your commitment to improving them for better integration into the ESCP community.
