Join us at Hochschule Flensburg, an innovative campus with 3,200 students and top-tier facilities located along the scenic Baltic Sea coast! Starting on 01.09.2024, we are seeking a passionate PhD candidate or Postdoc (m/f/d) for a full-time position.

The cell division rate is of crucial importance for characterizing the malignancy of tumors and is therefore a key issue that influences the right choice of therapy. As part of the interdisciplinary project, a joint project with partners in human and veterinary medicine, based at the FU Berlin and the two medical universities in Vienna, our goal is to make AI-supported automatic recognition of this important criterion in tumor diagnostics fit for clinical use using very large data sets. We are developing new methods of pattern recognition, in particular based on deep neural networks, with the aim of raising accuracy and clinical robustness to an unprecedented level.

Project Overview:

Participate in the groundbreaking DFG-funded project “muROMI” that aims to enhance tumor malignancy detection via state-of-the-art AI. Collaborate with leading institutions such as FU Berlin and medical universities in Vienna.

Your Responsibilities:

• Conduct independent research in Computer Vision/Deep Learning.
• Present findings through publications and conferences.
• Assist in third-party funding proposals.
• Handle project management tasks.

Your Profile:

• Degree in Computer Science, AI, Medical Informatics, or related fields.
• Advanced knowledge in Machine Learning/Computer Vision.
• Interest in medical image processing.
• Strong English & German skills (B2 level).
• Team player with excellent communication and organizational skills.
• Highly motivated and creative.

What We Offer:

• Competitive salary based on qualifications and experience. (TV-L 13)
• 30 days of vacation + up to 5 educational leave days.
• Flexible home office.
• Free internal training opportunities.
• Health management and sports center access.
• Discounted transportation tickets.
• Engaging work environment on a picturesque campus.

Make a difference in cancer detection with your expertise. Apply now: Link

Official job posting with more details here.