Professor for Data Science (m/f/d)

Professor for Data Science (m/f/d)

Berlin Professur 60000 - 84000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Teach Data Science and AI courses, supervise students, and lead research projects.
  • Arbeitgeber: Join a dynamic university in Potsdam focused on innovation and international collaboration.
  • Mitarbeitervorteile: Enjoy vacation days, online language courses, and vibrant campus events.
  • Warum dieser Job: Shape the future of Data Science while working in a diverse and supportive environment.
  • Gewünschte Qualifikationen: PhD required with experience in Data Science, programming, and teaching.
  • Andere Informationen: Women and minorities are encouraged to apply for this equal opportunity position.

Das voraussichtliche Gehalt liegt zwischen 60000 - 84000 € 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: Visit our careers website: Publication date: 18.11.2024Informatik Mathematik Mathematik Professor, Professorin Lehre & Forschung, Wissenschaft IT, EDV, Telekommunikation Hochschule für angewandte Wissenschaften Vollzeit

Professor for Data Science (m/f/d) Arbeitgeber: University of Europe for Applied Sciences (UE)

As a leading institution in Potsdam, we pride ourselves on fostering a dynamic and inclusive work environment that encourages innovation and collaboration among our faculty. Our commitment to employee growth is reflected in our diverse professional development opportunities, including access to online language courses and participation in various campus events. Join us to make a meaningful impact in the field of Data Science while enjoying a supportive community that values your contributions and promotes equal opportunity.
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Kontaktperson:

University of Europe for Applied Sciences (UE) HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: 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 our focus on international student engagement.

✨Tip Number 2

Network with professionals in the field of Data Science and academia. Attend conferences or workshops where you can meet potential collaborators or mentors who can provide insights into our university's culture and expectations.

✨Tip Number 3

Stay updated on the latest trends in Data Science, AI, and machine learning. Being able to discuss recent advancements and their applications during interviews will demonstrate your passion and expertise in the field.

✨Tip Number 4

Prepare to discuss your research and publication history in detail. Highlight how your work has contributed to the field and how it aligns with our university's goals, particularly in fostering partnerships with industry.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Professor for Data Science (m/f/d)

Expertise in Data Science and Artificial Intelligence
Strong knowledge of machine learning algorithms
Proficiency in programming languages such as Python, R, and SQL
Experience with data wrangling, cleaning, and transformation techniques
Familiarity with databases and big data technologies
Ability to teach and communicate effectively in English
Experience in conducting research and publishing scientific work
Strong organizational skills
Ability to advise and supervise students at various academic levels
Experience in establishing partnerships with companies and institutions
Strong understanding of Mathematics and Statistics
Teamwork and collaboration skills
Adaptability to work in a dynamic and international environment

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 any relevant publications, as these are crucial for your application.

Tailor Your CV: Customize your curriculum vitae to emphasize your experience in Data Science, teaching, and research. Include specific courses you've taught, your professional references, and any relevant work certificates.

Prepare Supporting Documents: Gather all necessary documents such as your doctoral degree certificate, a comprehensive list of your publications, and an overview of courses taught along with 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 Data Science and teaching. Discuss your experience with international students and your ability to contribute to the university's growth and success.

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 Sensitivity

Since you'll be teaching students from various cultures, emphasize your experience in diverse educational environments. Share examples of how you've adapted your teaching methods to accommodate different learning styles and backgrounds.

✨Discuss Your Research Contributions

Prepare to talk about your publication history and any significant research projects you've led. This is crucial for demonstrating your qualifications for the professorship and your commitment to advancing knowledge in the field.

✨Highlight Collaboration Skills

The role involves establishing partnerships and working within a team. Be ready to provide examples of successful collaborations with companies or institutions, and discuss how you can contribute to the university's growth and network.

Professor for Data Science (m/f/d)
University of Europe for Applied Sciences (UE)
U
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