Join Bosch Group: Master Thesis on Generative AI for Biomedical Imaging

Company Description

At Bosch, we are committed to shaping the future through pioneering high-quality technologies and services that ignite enthusiasm and improve lives. We promise our associates a stable environment where we grow together, relish our work, and inspire one another. We invite you to be a part of our team and experience the Bosch difference.

The esteemed Robert Bosch GmbH is eagerly awaiting your application!

Job Description

Embark on an exciting thesis journey in the field of biomedical imaging. This project aims to utilize generative AI and its foundational models that learn from extensive datasets in a self-supervised way. You will dive into the world of fluorescence microscopy image analysis, a critical area for both diagnostics and research.

Your tasks will include:

• Conducting comprehensive literature reviews at the crossroads of AI and biomedical imaging.
• Designing and developing a multimodal text-image AI model.
• Evaluating your model's effectiveness and handling large image datasets.
• Contributing significantly to a powerful area of research that saves lives.

Qualifications

Education: Currently pursuing Bachelor’s or higher in Machine Learning, Bioinformatics, or a related field.

Experience and Knowledge: Skillful in Python, with a background in programming projects. Experience in designing and implementing machine learning models, with a bonus for knowledge in computer vision.

Personality and Working Practice: Highly motivated and self-sufficient.

Languages: Proficiency in both German and English.

Additional Information

Start Date: Flexible, based on mutual agreement.
Duration: 9 months commitment expected.
This position requires that you are currently enrolled at a university. Please include in your application your CV, transcripts, examination regulations, and, if applicable, a valid work and residence permit.

At Bosch, diversity and inclusion are deeply ingrained in our culture, not just as trends but as foundational principles. We encourage applications from individuals of all genders, ages, disabilities, religions, ethnic backgrounds, and sexual identities.

Contact Information

For more details about this role, please contact:

• Jan Rudolph, Functional Department, +49 711 811 16953
• Christian Grumaz, Functional Department, +49 711 811 41997

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