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Doctoral Student in AI and ML
3 weeks ago
The School of Science and Technology at Örebro University is searching for a talented doctoral student in computer science to join our research group. As a doctoral student, you will work on machine learning-related projects, focusing on areas such as reinforcement learning, counterfactual prediction, and end-to-end learning.
You will be part of the Adaptive and Interpretable Learning Systems research group, which is committed to advancing the understanding of complex challenges in machine learning. The group's research focuses on developing novel machine learning techniques and their applications in real-world scenarios.
The position is funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP) and offers a unique opportunity to work on impactful research projects. As a doctoral student, you will receive comprehensive supervision and support from experienced researchers.
Application InformationPlease submit your application online, including the required documents: cover letter, CV, proof of meeting entry requirements, and independent project (degree project). Application documents should be written in English or Swedish.