Bachelor or Master Thesis in Evaluation and Refinement of a visual ML-Toolkit

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 30 800 employees work with an annual research budget of 3.0 billion euros.

Fraunhofer MEVIS is a world-leading research and development center for computer support in digital medicine. We pursue a patient-centered and clinical workflow oriented approach to solving clinically relevant challenges in image- and data-based diagnosis and therapy.

What you will do

You will be tasked with the critical evaluation and refinement of a visual Machine Learning (ML) toolkit. This toolkit is designed to assist researchers in the navigation and interpretation of complex data sets, guiding them through the process, and fostering the generation of actionable insights. Your role will involve conducting both qualitative and quantitative assessments of the toolkit with users ranging from novices to experts. The data you gathered from these evaluations will then be meticulously analyzed to inform subsequent design recommendations, potentially leading to iterative software enhancements.
The topic is suitable for bachelor or master thesis.

What you bring to the table

enrolled student in Computer Science, Human-Computer Interaction, Media Informatics, Medical Engineering or a related field.
Proficiency in web programming languages and frameworks.
A solid understanding of Machine Learning principles and applications.
Extensive experience with scientific research methodologies.
Fluent in German and English

What you can expect

An opportunity to work at the intersection of cutting-edge technology and medicine.
A collaborative environment that values individual contributions and expertise.
A commitment to your professional development and mentorship from leading experts in the field.
The possibility to make a significant impact on the future of medical research and patient care.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Interested? Apply online now. We look forward to getting to know you! Applications are possible in German or English. Please include a cover letter, your CV and your latest transcript of records.

If you have any questions, do not hesitate to contact

Henrik Detjen

henrik.detjen@mevis.fraunhofer.de

Fraunhofer Institute for Digital Medicine MEVIS

www.mevis.fraunhofer.de

Requisition Number: 73917 Application Deadline:

Job Segment: Computer Science, Research Scientist, R&D, Technology, Science, Research, Bilingual

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