Job Description

Your mission

We are currently looking for a freelance lecturer (m/f/d) to teach a variety of Data Science modules in between January and July 2026. The courses either consist of 3 hours of teaching per week over 14 weeks, or 8 hours of teaching in six block sessions, plus supervision and assessment of a examination.

Topic areas include:

• Machine Learning
• Data Bases
• Data Visualization
• Information Retrieval
• Language Processing
• Disruptive Computing
• Deep Neural Networks

If you are seeking a practice-oriented teaching role in an innovative environment and want to support students on their path to becoming Data Science professionals, we look forward to receiving your application!

YOUR IMPACT
As a freelance lecturer at XU, you will:

• Deliver practice-oriented sessions on a weekly or bi-weekly basis.
• Share your expertise by creating engaging teaching materials, presentations, and assignments.
• Guide students through industry standards, best practices, and cutting-edge developments in your given field.
• Supervise and assess a final examination.
• Inspire our students to pursue careers in Data Science.

Your profile

We are looking for someone who:

• Holds at least a Master's degree in Manufacturing, Robotics, Data Science, or a related field, or has a Bachelor’s degree in an unrelated field but practical experience in Industry 4.0, Internet of Things or Virtualization/Digital Twinning.
• Demonstrates a solid understanding of one or more of the previously mentioned topic areas.
• Possesses strong English communication skills (level C1 or above - no formal proof required).
• Enjoys teaching and engaging with students in a dynamic, practice-oriented environment.

Why us?

Why Teach at XU?

• Innovate education: Teach in small, interactive groups and co-create modern learning experiences.
• Shape the future: Be part of a forward-thinking university where technology, design, and entrepreneurship meet.
• Inclusive community: We embrace diversity, equity, and a collaborative spirit in everything we do.
• Real impact: Equip students with the skills they need to build meaningful, user-driven digital solutions.

Ready to empower the next generation of Data Science professionals?

Apply now with your CV and a short note about your relevant experience. We look forward to hearing from you!

Let’s shape the future – together.