Call Expression of Interest MSCA Postdoctoral fellowships at UNIGE – N distr Job Penn Yan area,Town of Italy New York USA

Position: Call for Expression of Interest for MSCA Postdoctoral fellowships at UNIGE – N. 8 Active, distr[...]
Location: Town of Italy

Description - Call for Expression of Interest for a joint application under the upcoming Call for MSCA Postdoctoral Fellowships 2026

University of Genoa, UNIGE, located in Genoa, ITALY, welcomes postdoctoral researchers of any nationality, with an excellent track record, to apply to the European Commission Marie Sklodowska-Curie (MSCA) Postdoctoral Fellowships 2026. Our University has been beneficiary of several MSCA-PF in Horizon 2020 and Horizon Europe.

The Marie Sklodowska‑Curie (MSCA) Postdoctoral Fellowship is one of the funding schemes of the European Commission’s Horizon Europe Research & Innovation programme, dedicated to excellent research promoting international mobility, as well as interdisciplinary and intersect oral exchanges.

MSCA fellowship grant provides a competitive salary plus mobility and family allowances if applicable, as well as a contribution to cover research, training and networking costs. The research projects will have a 2‑ or 3‑year duration.

Selected candidates will be provided with special support for proposal writing and development
.

The University of Genoa will organize in May the fifth edition of the Masterclass MSCA@Uni Ge
. Selected candidate researchers will have the opportunity to attend a 2‑days online intensive training and coaching course on how to write a successful proposal
. This masterclass is a pathway of support to candidates and their supervisors in preparing project proposal, including prescreening activity of theك draft proposals and the organisation of dedicated B2B meetings, by the European Research Office of Uni Ge, National Contact Point and other experts.

The masterclass will take place in Spring 2026
.

MSCA domain: Information Science and Engineering (ENG)

Research Project Description

We look for candidates who, building up on advanced multi‑modal الز AI models, want to design and develop reasoning capabilities for robots inspired by theories about human cognition. We want to investigate

the general structure of a robot cognitive architecture informed by the principles of Active Sensing and Inference, interactive and distributed processing, and recursion;

the existence of general‑purpose “algorithms” which, operating continuously, can lead to flexible and adaptable robot behavior.

To attain these goals, the specific research topics may include one or more of the following aspects:

Active Sensing strategies: inspired by the paradigm of Active Inference, sensing will be treated as an active process aimed at reducing the uncertainties associated with the robot’s own world model; this could lead to planning and executing perception behaviors based on the status of the robot’s knowledge;

action‑oriented knowledge representation: the robot knowledge must be actionable, that is, being acquired and encoded such that knowledge‑based action is facilitated and less computationally effortful; specific metrics to evaluate robot knowledge in terms of uncertainty, accuracy, and actionability will have to be investigated;

distributed and concurrent AI reasoning models: while current multi‑modal AI models are of a “one‑size‑fits‑all” nature, we want to investigate how to orchestrate and combine the results of multiple, possibly specialized, multi‑modal AI models, all of them running concurrently; this will lead to the possibility of investigating topics related to “inner speech”, that is, using integrated linguistic‑level descriptions of the data flow emerging from these models;

hierarchical approaches to sensing, reasoning, and action: it will be posited here that the overall robot behavior will be obtained assuming that such orchestration be of a hierarchical nature, that is, instead of assuming a centralized “algorithm” to schedule how sensing modules, multi‑modal AI models, and action models, all of them will be considered as components which can be invoked by each other recursively;

“intrinsic” behavioral models: we will focus on approaches in which such distributed, hierarchical nature will be driven by normative goals and objectives, which will have to be satisfied by the concurrent behavior of all components.

Key challenges to be addressed in these lines of work…


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