Student Assistant, Computer Vision & AI (R&D)

Are you a data science talent with interest in image analysis and AI looking to get hands-on experience next to your studies? Our Research and Development (R&D) department is looking for a student assistant to join our dedicated team in Hørsholm, Denmark. You will play an important role in R&D supporting the development of prototypes of new Image Analysis algorithms.

1.1 Primary tasks:

• Dataset development for training state-of-the-art algorithms with the Visiopharm AI platform.
• Register and organize datasets.
• Conduct image analysis studies, organizing data and results
• Ad hoc tasks and minor data handling tasks in e.g., R.

1.2 Our ideal candidate:

• Student of Engineering, Data Science, Biomedical science, or equivalent.
• Motivated and excited about applying AI to real world medical problems.
• Experience with image analysis and/or machine learning Interest in deep learning, preferably on biomedical image data.
• Structured and detailed orientated.

You have a structured and detail-oriented approach to your work and thrive in a virtual and dynamic environment.

1.3 We offer:
We offer you a student assistant job in a growing organization with an informal working environment.

• Will get to know a highly advanced software and give useful support to our developers.
• Hours are flexible, but we expect 1 to 2 days per week.
• Social workplace with events like company parties, DHL participation and Friday bars.
• Access to the office whether you come by car or bus.

1.4 About us:
Visiopharm's image analysis software is the preferred Quantitative Digital Pathology solution for biopharmaceutical companies and contract research organizations, as well as academic medical centers, research institutes and hospitals worldwide.
We are located at: Forskerparken, Agern Alle 24, 2970 Hørsholm

If you find the job interesting, send us your application and CV. For questions feel free to reach out to; Faghihe Taayeed, Release and Test Engineer: [email protected].

We look forward to hearing from you.

Application Deadline: Friday, January 31, 2025

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