As a student worker, you will work alongside your colleagues as equals in an environment that fosters the ideal conditions for your future career.
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In a modern and spacious setting full of opportunities for further development, employees work together in harmony, where expert knowledge and team spirit reign supreme. This is supported by a long-term goal to bring science and society into the future together.
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We welcome applications from individuals regardless of gender, nationality, ethnic or social origin, religion, philosophy of life, disability, age, sexual orientation, or identity.
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You have the opportunity to combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally.
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Want to drive the next generation of intelligent products?
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We are seeking passionate and talented students who want to make an impact by helping to develop next-generation products and innovative machine learning algorithms. You will work on helping us to develop core algorithms and taking academic ideas into working prototypes.
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Key Requirements:
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* A Bachelor's degree in computer science, mathematics, physics, or related fields with an outstanding study record, and currently enrolled in a master's program
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* Solid understanding of machine learning and computer vision
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* Strong programming background in Python and hands-on experience with machine learning frameworks such as PyTorch or Tensorflow
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* Preferably experience with medical data processing, including familiarity with medical imaging modalities such as video, X-ray, MRI
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* High motivation, creativity, flexibility, and a structured and independent way of working
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* Effective communication and presentation skills
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If this sounds exciting, become part of our team and help us shape the future. Please provide your complete application documents (CV, transcript of records, certificates etc.).
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The position is integrated into a fast-growing team of scientists and research engineers.
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