Id/26 - Trustworthy reinforcement learning: development of efficient tree search methods for real

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7n6ngh

Organisation/Company Università degli Studi di Verona Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 7 Sep 2026 - 13:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

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Offer Description The research programme aims to develop advanced trustworthy reinforcement learning methods for real-world systems, with particular emphasis on planning and tree-search algorithms, including Monte Carlo Tree Search approaches. The activities will involve the design of tree-based models, distance functions and representations for time series, as well as asynchronous, parallel and efficient pipelines for processing large volumes of data and simulations.



High-performance software solutions will be investigated and integrated into reproducible and scalable machine learning workflows to support robust decision-making in dynamic and complex environments.

The research will include experimental validation, benchmarking, and the analysis of efficiency, generalization and reliability across different real-world application domains, including robotic and energy systems.

For admission to the selection process, potential candidates must fulfil the following requirements:

a) Master's Degree [Laurea Magistrale o a ciclo unico awarded pursuant to Art. 3(1n), Ministerial Decree no. 270 of 22/10/04], obtained no more than six years before the expiry date of this call;

b) Possession of a curriculum suitable for assisting in carrying out research activities;

c) Knowledge of the following foreign language: English. xrdztoy

Italy

Eligibility of fellows: country/ies of residence:

AFRICA

EUROPE

OCEANIA

NORTH AMERICA

SOUTH AMERICA

ASIA

Eligibility of fellows: nationality/ies

AFRICA

EUROPE

OCEANIA

NORTH AMERICA

SOUTH AMERICA

ASIA

Selection process The competition will be carried out by an evaluation of titles and examination by means of an interview.

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7n6ngh