Found that tempting discount on your favorite chocolate, only to realize the price tag was for something else? Or spotted dairy products abandoned in the pasta aisle, destined for the waste bin? These everyday supermarket mishaps not only frustrate shoppers and lead to unnecessary food waste but also cause significant economic losses for retailers. We're looking for talented students who can help us teach AI to catch these mistakes automatically - making shopping smoother for everyone!

About the Role

We are seeking motivated students to join our innovative research project on Computer Vision for Shelf Compliance in Supermarkets. This is a unique opportunity to apply your academic knowledge to real-world challenges at the intersection of research and retail technology. This is a collaborative effort between us, the KSRI, and a partner in the global retail industry. As a working student, you will be employed by our partner, but you'll have the unique opportunity to apply your academic knowledge to real-world challenges at the intersection of research and retail technology.

As part of one of Germany's largest retail corporations, you'll work on pioneering solutions that bridge the gap between state-of-the-art computer vision research and practical retail applications.

Your tasks

• Drive research initiatives in computer vision, exploring and evaluating cutting-edge approaches for shelf compliance detection
• Design and implement novel deep learning models, with the opportunity to publish your findings
• Transform research prototypes into production-ready solutions within our retail technology ecosystem
• Collaborate with both academic researchers and industry professionals to solve complex real-world challenges

Requirements

• Currently enrolled in a master's program in Computer Science, Information Systems, Business Engineering, or Electrical Engineering, or similar programs
• Strong programming skills in Python
• Good foundational knowledge of computer vision concepts, with a willingness to learn and implement advanced techniques
• Understanding of machine learning principles; hands-on experience is a plus
• Ability to conduct independent research and solve complex problems
• Good communication skills for collaborating with both academic and industry partners
• Fluency in German and English

What We Offer

• Opportunity to conduct innovative research with real-world impact
• Close collaboration with leading researchers at the KSRI/KIT and potential for academic publications
• Access to large-scale retail data and state-of-the-art computing resources
• Competitive hourly wage and flexible working hours compatible with your studies
• Clear path to thesis projects, internships, or full-time positions at our partner
• Regular feedback and mentoring from both academic and industry experts

If you are excited about the prospect of applying computer vision to transform the retail industry, we encourage you to apply for this working student role. This project will provide you with valuable experience and a unique chance to contribute to the future of smart retail.