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- Aufgaben: Teach Data Science and AI courses, supervise students, and lead research projects.
- Arbeitgeber: Join a dynamic university focused on innovation and international collaboration.
- Mitarbeitervorteile: Enjoy vacation days, online language courses, and vibrant campus events.
- Warum dieser Job: Make an impact in a supportive environment while advancing your career in academia.
- Gewünschte Qualifikationen: Master's degree, outstanding doctorate, and at least three years of relevant experience required.
- Andere Informationen: We encourage women and minorities to apply for this equal opportunity position.
Das voraussichtliche Gehalt liegt zwischen 60000 - 84000 € pro Jahr.
Your profile
- Strong experience in Data Science and Business Analytics
- 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
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
Why us?
- 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 concepts
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
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.
Your contact for professional questions:
Your Responsibilities
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
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Professor for Data Science (m/f/d) Arbeitgeber: Applied Sciences GmbH
Kontaktperson:
Applied Sciences GmbH 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 Data Science and Business Analytics during any networking opportunities. Attend conferences or workshops related to these fields to connect with professionals who may have insights into the hiring process at universities.
✨Tip Number 2
Engage with current faculty members or alumni from the University of Applied Sciences of Europe on platforms like LinkedIn. This can provide you with valuable information about the university culture and expectations for professors.
✨Tip Number 3
Stay updated on the latest trends in Data Science, especially in machine learning and big data technologies. Being able to discuss recent advancements during interviews can set you apart from other candidates.
✨Tip Number 4
Consider preparing a short presentation on a relevant topic in Data Science that showcases your teaching style and expertise. This could be a great way to demonstrate your ability to engage students and convey complex concepts effectively.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Professor for Data Science (m/f/d)
Tipps für deine Bewerbung 🫡
Highlight Your Qualifications: Make sure to clearly outline your educational background, especially your master's degree and doctorate. Emphasize any outstanding scientific publications and your professional experience in Data Science.
Detail Your Teaching Experience: Provide a comprehensive overview of the courses you have taught, including topics, scope, and teaching evaluations. This will demonstrate your ability to teach effectively in an international environment.
Showcase Your Research Activities: Include a list of your research projects and publications. Highlight any innovative ideas or concepts you have developed in the field of Data Science, as this is crucial for the role.
Prepare Required Documents: Gather all necessary documents such as your CV, doctoral degree certificate, course overview, and work certificates. Ensure everything is up-to-date and formatted professionally before submitting your application.
Wie du dich auf ein Vorstellungsgespräch bei Applied Sciences GmbH vorbereitest
✨Showcase Your Expertise
Be prepared to discuss your strong experience in Data Science and Business Analytics. Highlight specific projects where you applied machine learning algorithms, deep learning, or NLP, and be ready to explain your approach and the outcomes.
✨Demonstrate Teaching Skills
Since teaching is a key responsibility, prepare to share your teaching philosophy and experiences. Discuss how you engage students from diverse backgrounds and how you adapt your teaching methods to different learning styles.
✨Highlight Research Contributions
Bring attention to your publication and research activities. Be ready to discuss your doctoral work and any significant contributions to the field of Data Science, as well as your plans for future research.
✨Emphasize Collaboration and Communication
Illustrate your ability to work in a team and communicate effectively. Share examples of successful collaborations with colleagues or industry partners, and how these experiences have contributed to your professional growth.
