We are seeking a highly motivated postdoctoral fellow to join new
projects at the European Molecular Biology Laboratory in Rome (EMBL-Rome).


We will develop *interpretable, normative computational models* of animal
behaviour and neural activity, with the aim of understanding adaptive
brain-body-environment interactions (see Egocentric value maps of the
near-body environment | Nature Neuroscience
<https://www.nature.com/articles/s41593-025-01958-7> and
https://www.embl.org/research/units/epigenetics-neurobiology/computational-models-of-adaptive-behaviour/
examples of recent work).



This position is ideal for candidates with a *background in systems
neuroscience, computational modelling, or machine learning*. The fellow
will have *substantial freedom* to design their own interdisciplinary
research project, with close support and mentoring.



Potential research directions include (but are not limited to):

   - Modelling adaptive escape and interception behaviour using
   Reinforcement Learning and Active Inference
   - Interpreting subcortical electrophysiology in relation to defensive
   decision-making
   - Inferring latent neural states from calcium imaging and pupillometry
   - Creating normative models of cellular or epigenetic processes

The position offers the *opportunity to collaborate* with experimentalists
at EMBL and an external partner lab, and to work with extensive existing
EMBL datasets.



Our project is part of a vibrant and collaborative EMBL community spanning
multiple European sites, with *strong support for computational and systems
neuroscience*. Internal funding for collaborative research between our
project and groups at or outside EMBL exists via the EIPOD LiNC
programme (EIPOD-LinC
Fellowship Programme – Postdoctoral Programme
<https://www.embl.org/about/info/postdoctoral-programme/eipod-linc-exploring-life-in-context/>).
A formal application will open in November 2025 and close in February 2026,
but early conversations are strongly encouraged.



To discuss a potential project or find out more, please contact
[email protected].

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