Research Staff / Academic Staff in the field of Automated Machine Learning

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.

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 %).

The position is initially offered for a period of three years, with the possibility of extension.

Your position at a glance

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.

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.

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.

Applicants should hold an academic degree (Master’s) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Physics, or a related discipline.

In addition, the following qualifications are expected:

• Outstanding Master’s thesis in the field of Artificial Intelligence is desired
• Solid understanding of, and practical experience with, machine learning and deep learning
• Advanced programming skills in Python, preferably with experience in PyTorch and HuggingFace
• Excellent communication skills in English, both verbal and written, including the ability to write scientific texts (German skills are a plus)
• Motivation for independent work and the ability to collaborate in an international team

Equal opportunities and diversity are core values at Leibniz University Hannover. Our goal is to tap into individual potential and open up possibilities. We therefore welcome applications from anyone interested in the position, irrespective of gender, nationality, ethnic origin, religion or ideology, disability, age, sexual orientation and identity.

We strive towards a balanced and diverse workforce and a reduction in under-representation in accordance with the Lower Saxony Equal Rights Act (Niedersächsisches Gleichberechtigungsgesetz – NGG). We therefore also welcome applications from women for the above-mentioned position. Preference will be given to equally-qualified candidates with disabilities.

• Diverse, creative, and innovative work within a multicultural team
• Cutting-edge research environment and resources, including state-of-the-art computing equipment and research databases
• Collaboration with international leading researchers and scientists
• Participation in scientific workshops and conferences, as well as in international research exchanges and collaborations
• Opportunity for qualification through a Dr. rer. nat. (Doctor of Natural Sciences) degree
• Salary at the level of 100% in salary scale 13 according to the Collective Agreement for the Public Sector (TV-L)

With more than 5.000 employees, Leibniz University Hannover is one of the largest and most attractive employers in the Hannover region. We offer a vibrant interdisciplinary and international working environment, and promote personal and professional development ranging from subject-related skills to leadership and languages.

Part-time employment as well as remote work (mobile work, work from home) can be arranged upon request. We support employees with balancing work and family life, through services such as back-up childcare, childcare during school holidays, and parent-child offices, as well as providing individual advice regarding family responsibilities and caring for dependants.

To promote health and well-being among employees, we offer an extensive sports programme with over 100 different sports, as well as a fitness centre with a sauna and climbing space. Health management measures, such as courses on stress management, good nutrition and relaxation, aim to ensure a healthy workplace.

Have we piqued your interest? If so, we look forward to receiving your application!