Working student in the field of Deep Learning Systems for Quality Inspection

Working Student Opportunity in Deep Learning Systems for Quality Inspection

Safe Intelligence is the core brand of the Fraunhofer Institute for Cognitive Systems IKS, dedicated to pioneering innovation in sectors such as mobility, healthcare, and industrial automation through connected cognitive systems. Our research emphasizes the reliability and safety of disruptive technologies like artificial intelligence and quantum computing. At Fraunhofer IKS, we believe resilience and intelligence are crucial components of the same process.

What You Will Do

As a working student, you'll assist our team in various research and development tasks for AI-based quality inspection solutions. Your responsibilities will include conducting experiments, developing tools, and participating in scientific discussions. Depending on your interests and experience, your role can emphasize either software development or scientific research.

What You Bring to the Table

  • Strong interest and foundational knowledge in computer science, mathematics, or engineering.
  • Proficiency in modern software development and programming, particularly with Python or similar languages.
  • Motivation for practical research in quality inspection.
  • (Optional) Experience with 3D-Printing and/or CAD.
  • (Optional) Experience in web development using modern frameworks like React.

What You Can Expect

  • Engaging tasks within a motivated and friendly team.
  • Active involvement in development projects at an early stage.
  • Flexible assignments tailored to your interests.
  • Competitive salary with remote working options within Germany (up to 20h/week).
  • Practical experience relevant to your studies and future career.

We value diversity and encourage applications from individuals of all backgrounds - irrespective of age, gender, nationality, ethnicity, social origin, religion, ideology, disability, sexual orientation, or identity. Candidates with severe disabilities will be given preference in case of equal qualifications. Compensation is in accordance with the general works agreement for employing assistant staff.

Fraunhofer is committed to advancing key technologies for the future and enabling their commercial utilization by businesses and industries. As a leader in innovation and scientific excellence, Fraunhofer plays a pivotal role in shaping society today and in the future.

Interested? Apply online now. We look forward to meeting you!

Have additional questions? Feel free to reach out to:

Lukas Wehinger

For further queries, contact our HR team via email at:

Visit our website for more information:

Requisition Number: 74252

Company: Fraunhofer-Gesellschaft

Job Title: Working Student in the Field of Deep Learning Systems for Quality Inspection