{"id":13725,"date":"2025-10-28T13:55:59","date_gmt":"2025-10-28T12:55:59","guid":{"rendered":"https:\/\/caimed.de\/?page_id=13725"},"modified":"2025-10-28T14:58:01","modified_gmt":"2025-10-28T13:58:01","slug":"wissenschaftliche-mitarbeit-im-bereich-des-automated-machine-learning","status":"publish","type":"page","link":"https:\/\/caimed.de\/en\/das-zentrum\/karriere\/wissenschaftliche-mitarbeit-im-bereich-des-automated-machine-learning\/","title":{"rendered":"Research Staff \/ Academic Staff in the field of Automated Machine Learning"},"content":{"rendered":"
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Research Staff \/ Academic Staff in the field of Automated Machine Learning<\/h1>\n <\/a>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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Nestled in a modern city surrounded by nature and with an exceptional standard of living, Leibniz University Hannover (LUH) offers excellent working conditions in a vibrant scientific community.<\/p>\n

The Institute of Artificial Intelligence welcomes applications for the following position at the beginning of 2026: Research Staff \/ Academic Staff in the field of Automated Machine Learning (salary scale 13 TV-L, 100 %).<\/p>\n

The position is initially offered for a period of three years, with the possibility of extension.<\/p>\n <\/div>\n <\/div>\n

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Your tasks<\/h6>\n <\/div>\n <\/div>\n
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Your position at a glance<\/strong><\/p>\n

Our research team at the LUH focuses on machine learning, automated machine learning (AutoML), and reinforcement learning (RL). We are seeking a highly motivated doctoral candidate (PhD student) to join our team. The position offers the opportunity to conduct research on innovative topics, with a particular focus on developing novel approaches for automated deep learning and AI, especially with applications in optical or photonic systems. The position is also affiliated with the Cluster of Excellence PhoenixD.<\/p>\n

In addition to conducting cutting-edge research, you will actively engage in scientific exchange and active collaboration with related research groups, including presenting research findings at workshops, conferences, and in peer-reviewed journals. Furthermore, you will have the chance to contribute to open-source projects, thereby promoting the wider dissemination of research results and advancing the field of AI.<\/p>\n <\/div>\n <\/div>\n

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Your profile<\/h6>\n <\/div>\n <\/div>\n
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We are looking for candidates with a passion for the engineering applications of AI and innovation. If you are dedicated, creative, and motivated to make a positive impact through research, we encourage you to apply for our position in Automated Machine Learning.<\/p>\n

Applicants should hold an academic degree (Master\u2019s) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Physics, or a related discipline.<\/p>\n

In addition, the following qualifications are expected:<\/p>\n