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Lecturer Data Science (m/f/d)

IU Internationale Hochschule GmbH

Berlin

Vor Ort

EUR 40.000 - 60.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Join IU International University as a freelance lecturer at our Berlin campus, contributing to the MyStudium program. This role involves teaching Data Science, designing courses, and fostering an interactive learning environment, allowing you to inspire the next generation of students while enjoying flexible work arrangements. Ideal candidates will possess a relevant university degree and teaching experience, and will be passionate about modern education.

Leistungen

Modern Teaching Experience
Flexible Work Arrangements
Supportive Team Environment
Networking Opportunities
Innovative Environment

Qualifikationen

  • Completed a university degree in Data Science or a related field.
  • Practical work experience in the relevant subject area.
  • Experience in academic teaching preferred.

Aufgaben

  • Teach fundamental knowledge with practical relevance in Data Science.
  • Design courses using high-quality teaching materials.
  • Conduct practical sessions and tutorials on-site.

Kenntnisse

Teaching
Communication
Data Science Knowledge
Innovative Education Methods
English Language Skills

Ausbildung

University Degree in Data Science or Related Field

Jobbeschreibung

IU INTERNATIONAL UNIVERSITY - MyStudium – Because teaching is not just a job, it's a statement.

Are you passionate about making a difference through teaching? Join Germany's largest university and shape the future of education in an environment that supports your professional and personal growth.

We are looking for a freelance lecturer to contribute to our MyStudium program at our Berlin campus, starting on 01.10.2025, with 48 teaching units.

Your responsibilities
  • Teach fundamental knowledge with practical relevance, such as use case evaluation, data preprocessing, knowledge representation, and algorithm selection.

  • Design courses using high-quality teaching materials provided, based on the coursebook (more details available in the coursebook).

  • Conduct practical teaching sessions and tutorials on-site, promoting an active and interactive learning environment.

  • Provide individual support to students and prepare them for their professional careers.

Your profile
  • Completed a university degree in Data Science or a related field.

  • Practical work experience in the relevant subject area.

  • Experience in academic teaching, such as tutoring, lecturing, or research assistance, is preferred.

  • Interest in innovative, digital, and modern education, with a passion for working with students.

  • English language skills at C1 level of the CEFR.

What we offer
  • Modern teaching experience: Small classes with up to 40 students, allowing creative freedom.

  • Valuable knowledge transfer: Share your expertise and inspire students eager to learn.

  • Flexible work arrangements: Enjoy the freedom and flexibility of teaching with us.

  • Supportive team environment: Collaborate, share resources, and exceed expectations together.

  • Networking opportunities: Join a respectful and dynamic team environment.

  • Innovative environment: Work with new technologies like Chat GPT-4 and explore diverse technical possibilities.

Teaching experience enhances your CV! Apply with your CV, certificates, and work references to join us in making education accessible to all.

Bring theory to life by connecting it with practical examples, fostering talent, and preparing students for the future. Whether as part of your academic career or a passion project, your expertise and our flexibility can help shape the future. Become a lecturer at IU International University!

Please note, we cannot accept applications via e-mail due to data protection. If interested in multiple positions, please apply separately for each.

We value diversity and inclusion: We welcome applicants regardless of origin, religion, gender, age, or sexual orientation. Our doors are open to everyone, including those with impairments. We look forward to diverse collaborations at IU!

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