Researcher (f/m/d)
Within this project, you will develop and analyze novel methods for the training of large-scale neural networks, with particular emphasis on structured matrix parameterizations, spectral analysis of training dynamics, and efficient optimization algorithms. A key objective is to design and study architectures and training procedures that exploit algebraic structure to improve computational efficiency, stability, and theoretical guarantees. The research will combine mathematical analysis, algorithm design, and empirical validation, and will be carried out in close collaboration with researchers in optimization, machine learning, and scientific computing within the IOL group and its partners.
Was wir erwarten- Completed university degree (Master’s or equivalent) in mathematics, computer science, or a related field
- Strong background in numerical linear algebra, matrix analysis, optimization, or a closely related area
- Interest in the mathematical foundations and training of large-scale machine learning models, in particular large language models
- Experience or interest in structured matrix representations (e.g., Toeplitz, circulant, low-rank, or related operators) in machine learning or optimization is desirable
- Experience with scientific programming (e.g., Python) and machine learning frameworks is desirable
- Ability to conduct independent research and collaborate within an interdisciplinary research environment
- Very good command of English, written and spoken
We offer a friendly work environment with flexible work and meeting times, excellent equipment and a challenging professional environment
as well as
- an active onboarding process to provide new employees with the skills and knowledge that are important to their success in our institute and their careers,
- a varied, future-oriented and responsible field of activity,
- professional training opportunities and support in professional development,
- an additional pension scheme (VBL),
- 30 days annual leave, flexible working hours (flexitime),
- a salary based on TV-L (collective agreement for the public service of the federal states) in accordance with qualifications and professional experience with annual bonus payment,
- capital allowance of up to € 150 per month, or alternatively a BVG job ticket plus the remaining balance,
- the use of canteens and sports programs of the Freie Universität Berlin (FUB) at reduced rates.
Applicants with disabilities will be given preference if equally qualified. Female applicants are highly encouraged to apply, since women are under-represented in natural sciences and ZIB seeks to increase the proportion of women in this field.
Please apply via our online application form by March 25 , 2026.