Doctoral Student and PostDoc Positions: The Chair of Explainable Machine Learning at the Otto-Friedrich-Universitat Bamberg invites applications for positions as Doctoral Student and PostDoc in the field of machine learning. The positions focus on enhancing the reliability, data efficiency, and generalization of neural networks, particularly in applications such as medical imaging and healthcare. The research emphasizes interpretability and robustness, with a focus on tangible benefits for end-users and patients.
Designation:
- Doctoral Student – Scientific Employee (m/f/d) (Full-/part-time in “Entgeltgruppe” TV-L E 13)
- PostDoc – Scientific Employee (m/f/d) (Full-/part-time in “Entgeltgruppe” TV-L E13)
Research Area: Machine Learning, Pattern Recognition, Image/Signal Processing, Applied Mathematics, Statistics
Location: Otto-Friedrich-Universitat Bamberg, Germany
Eligibility/Qualification:
- Completed University degree (MSc or PhD for PostDoc) in relevant field
- Fluent in an established programming language (e.g., Python, C++)
- Ability to work analytically, structured, and autonomously
- Proficiency in English (German helpful)
- PostDoc applicants should demonstrate a strong track record of published research
Job Description:
Doctoral Student and PostDoc Positions in Explainable Machine Learning
- Support Research & Teaching efforts of the research lab
- Conduct independent, self-sufficient research on a specific topic
- Present research results at national and international conferences
How to Apply: Interested candidates should submit a complete application, including a brief letter of motivation, CV, transcripts, and optionally a research project proposal, publication record, and contact details of two references. Applications should be sent electronically as a single PDF file to the email address below, indicating the earliest possible starting date.
Last Date for Apply: Applications received until 15 December 2023 will be reviewed latest by 31 December 2023. After that, applications will be reviewed until the positions are filled.
Contact: Prof. Dr. Christian Ledig
Email: christian.ledig@uni-bamberg.de
Otto-Friedrich-Universitat Bamberg, An der Weberei 5, D-96047 Bamberg
