Lecturer AI Ethical Considerations in Data Science (m/f/d)

Berlin, Germany

Unspecified

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

You don't just want to teach, you want to make a difference? Then start at Germany's largest university and shape the future of teaching with us - in an environment that focuses on your professional and personal needs.

Contribute to our academic world at our campus in Berlin as a freelance lecturer in MyStudium with 48 teaching units starting on 01.07.2026.

Your tasks

• You teach fundamental knowledge with high practical relevance, e.g. for the topics bias assessment, societal impact, methodology evaluation, and responsible technology, and are responsible for correcting exams.
• You design courses using high-quality teaching materials provided to you based on the coursebook (you can find more insights in the coursebook).
• You conduct practical teaching sessions and tutorial on-site and promote an active and interactive learning process.
• You support dual students in combining theory and practice and contribute to their personal and professional development.

Your Profile

• You successfully completed a university degree in Data Science, Computer Science or a related field and have comprehensive knowledge of statistics.
• You have practical work experience in the relevant subject area.
• Ideally, you already have initial experience (e.g., as a tutor, teacher, lecturer, or research assistant) in academic teaching.
• You have a strong interest in innovative, digital, and modern education and enjoy working with students.
• You have English language skills at C1 level of the Common European Framework of Reference for Languages (CEFR).

What We Offer

• Experience modern teaching: In small courses with a maximum of 40 students, you can carry out your teaching duties with full creative freedom.
• Become part of the world's best team: Benefit from numerous networking opportunities and a respectful working atmosphere.
• Pass on your valuable knowledge…: Here with us, you impart valuable education to our knowledge-hungry students - A gift that is gladly shared.
• Work flexibly: Experience the freedom of teaching and maximum flexibility with us.
• Together we exceed expectations: We support one another, share lecture materials without restrictions, and cultivate an open, professional exchange.
• Experience innovation and dynamism: In an environment that embraces emerging technologies, AI-powered tools, and digital collaboration, we are shaping the future of education together.

Teaching suits you – also on your CV! Apply easily with your CV, any certificates, and relevant work references and become part of our mission to make education accessible to all.

What often sounds like dry theory comes to life with us – when practical knowledge is brought to the point. It’s about connecting theory with concrete examples, fostering talents, and preparing students for the future. Whether as part of your academic career or a passion alongside your main job: With your expertise and our flexibility, we shape the future – become a lecturer at IU International University!

Please note that we are unfortunately unable to accept applications by e-mail for data protection reasons. If you are interested in several vacancies, we would ask you to apply for each vacancy separately.

We back up our words with actions: We take our “Culture of Everyone“ seriously and want to make clear that no matter your origin, religion, gender, age, or sexual orientation, we will welcome and accept you. Our doors stand also open to you if you have an impairing. We look forward to a diverse cooperation at IU!

Freelance lectureship at IU – Start: 01.07.2026 – 48 teaching units – Locations: Berlin

Job details

Title
Lecturer AI Ethical Considerations in Data Science (m/f/d)

Employer
IU International University of Applied Sciences

Location
Berlin, Germany

Published
2026-03-18

Application deadline
Unspecified

Job type
Lecturer / Senior Lecturer

Field
Computer Engineering, Informatics, Ethics, Artificial Intelligence, Data Mining and 28 more