Aneta Koseska awarded tenure in the Lise Meitner Excellence Program

The decision secures long-term support for her group’s research on how living systems learn, adapt, and process information.

To the point

• Aneta Koseska has successfully passed her tenure evaluation in the Max Planck Society’s Lise Meitner Excellence Program.
• The evaluation recognizes her group’s scientific achievements and its long-term research vision.
• Her team investigates how biochemical networks in single cells process information and whether they may implement primitive forms of learning.
• The tenure decision provides long-term stability for research at the interface of physics, biology, neuroscience, and computation.

Aneta Koseska, Lise Meitner Group Leader of the group „Cellular computations and learning“, has successfully passed her tenure evaluation in the Max Planck Society’s Lise Meitner Excellence Program. She is now tenured at the institute.

The Lise Meitner Excellence Program supports outstanding women scientists on a structured path toward long-term scientific leadership within the Max Planck Society. Following a positive evaluation, group leaders can receive a permanent position and continued support for their research group. For Koseska, this step provides the long-term stability needed to pursue foundational questions at the interface of disciplines.

Her group studies how living systems process information, adapt to changing environments, and make decisions. While learning is often associated with brains and nervous systems, Koseska’s research asks whether some of its basic principles emerged much earlier in evolution, at the level of single cells.

To address this question, her team combines theoretical physics, computational theory, and cell biology. The group investigates how biochemical networks inside cells respond to signals, adjust their behavior over time, and may implement primitive forms of learning. This approach connects molecular processes in cells with broader questions about neuronal computation and artificial learning systems.

The successful evaluation recognizes both Koseska’s scientific achievements to date and the future potential of her group’s research agenda. It also strengthens the institute’s profile in theoretical and interdisciplinary approaches to neurobiology, where questions about behavior, computation, and evolution meet.