The Computer Vision Group is hiring a Ph.D. candidate in Computer Vision and Machine Learning (m/f/d). The full-time position (40 hours per week) is initially limited to three years, with a potential extension by another three years after a positive evaluation. Part-time work is possible.
Competitive research and contributions to the research areas of the group, especially to explainable AI and / or knowledge integration into machine learning
Integration and application of research results into the application areas of the group
Share your solutions with the research community through a variety of outlets
Support teaching activities in the course program of the Computer Vision Group at all levels
Work on your scientific qualification, e.g., your doctorate
Master’s degree in Computer Science, Mathematics, or a related field
Experience or at least a background in computer vision and machine learning
C / C++ and / or Python skills and a passion for writing high-quality code
Experience in programming larger projects
Willingness to expand your expertise to new and project-relevant areas
Strong verbal and written communication skills
Desire to work in a dynamic and team-oriented environment
Experience with machine learning/deep learning frameworks and libraries
Background in explainable AI, hybrid modeling, knowledge integration into machine learning
A family-friendly working environment with a variety of offers for families: University Family Office “JUniFamilie” and flexible childcare (“JUniKinder“)
University health promotion and a wide range of university sports activities
Attractive fringe benefits, e.g., capital formation benefits (VL), Job Ticket (benefits for public transport), and an occupational pension (VBL)
Remuneration based on the provisions of the Collective Agreement for the Public Sector of the Federal States (TV-L Ost) at salary scale E13 (depending on the candidate’s qualifications), including a special annual payment under the collective agreement
Candidates with severe disabilities will be given preference in the case of equal qualifications and suitability.
Submit your detailed written application(cover letter, curriculum vitae in tabular form, certificates) per email.