Doctoral Student / PostDoc: The Chair of Explainable Machine Learning at Otto Friedrich-Universität Bamberg is seeking highly motivated individuals for the positions of Doctoral Student and PostDoc in the field of machine learning. The positions are available for a term of 3 years (2 years for PostDoc) with the potential for extension. The research conducted in the group focuses on machine learning methods that enhance reliability, data reconstruction, segmentation, and object detection. The successful candidates will contribute to research and teaching efforts, present research results at conferences, and collaborate with the research lab at the ERBA campus.
Summary Table:
- Designation: Doctoral Student / PostDoc – Scientific Employee (m/f/t)
- Research Area: Machine Learning, Pattern Recognition, Image/Signal Processing, Applied Mathematics, Statistics, or comparable
- Location: Otto Friedrich-Universität Bamberg, An der Weberei 5, 96047 Bamberg, Germany
Eligibility/Qualification:
- Doctoral Student: Completed university degree (MSc) with a focus on machine learning, pattern recognition, image/signal processing, applied mathematics, statistics, or a comparable field.
- PostDoc: Completed university degree (PhD) with a focus on machine learning, pattern recognition, image/signal processing, applied mathematics, statistics, or a comparable field.
- Fluent in an established programming language (e.g., Python, C++).
- PostDoc applicants should have a strong track record of published research.
Job Description:
- Conduct research in the field of machine learning, focusing on reliability, data reconstruction, segmentation, and object detection.
- Support research and teaching efforts of the research lab at the ERBA campus.
- Present research results at national and international conferences.
- Collaborate with other researchers and contribute to the research group’s goals.
- For Doctoral Students, pursue a PhD degree under the supervision of the chair.
- For PostDocs, contribute to ongoing research projects and publish research findings.
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. Please send the application as a single PDF file via email to the address mentioned below. Indicate the earliest possible starting date.
Email: [Insert email address]
Last Date for Apply: The application deadline will be communicated upon receiving the application.
The Otto Friedrich-Universität Bamberg is committed to increasing the ratio of women in research and teaching and encourages qualified women to apply. Applicants with disabilities will be given preference if equally qualified.
Join our dynamic research team at Otto Friedrich-Universität Bamberg and contribute to advancing the field of explainable machine learning. We offer a stimulating research environment and the opportunity to collaborate on exciting projects in machine learning and related areas.
