• Design, implementation, comparison and testing of uncertainty quantification of AI models for computer vision in collaboration with other team members
• Research on current topics of image analysis/computer vision and generative AI in terms of uncertainty determination
• Creation of reusable and open tools for determining uncertainties in AI models of computer vision (and possibly beyond) in collaboration with industry or scientific partners
• Translation or transfer of findings on uncertainty quantification in applications in the field of matter and/or the life sciences

• Completed university studies (Master/Diploma/PhD) in the field of Computer Science, Mathematics, Natural Sciences or related disciplines
• You have basic understanding of reproducible science and the principles for Open Science
• You have a good understanding of mathematical and algorithmic concepts such as e.g. Deep learning based classification and regression (segmentation or domain adaptation)
• You have proven expertise in machine learning and related project contributions (publication in peer reviewed journals or conferences is considered a bonus) on this topic
• You have proven expertise in data science or statistical data analysis and related project contributions (publication in peer reviewed journals or conferences is considered a bonus) on this topic
• You have programming experience in Python (R, Julia, Rust are considered a bonus)
• You have experience with machine learning APIs, libraries and frameworks such as pytorch, keras, scikit-learn
• You have experience in using high-performance computing systems
• You enjoy learning new and developing your skills
• You are creative and would like to implement our ideas in a team
• You have a tolerant and open approach to your work
• You bring self-motivation, self-reflection and willingness to cooperate
• You have conversational skills in German and excellent English skills in writing and conversations

• A vibrant research community in an open, diverse and international work environment
• Scientific excellence and extensive professional networking opportunities
• Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
• We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours
• Numerous company health management offerings
• Employee discounts with well-known providers via the platform Corporate Benefits
• An employer subsidy for the "Deutschland-Ticket Jobticket"

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=73507