Development of AI and automated control techniques design and deployment of robotic mis

Position: Development of AI and automated control techniques for the design and deployment of robotic mis[...]
Organisation/Company Università degli Studi di Verona Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Final date to receive applications 23 Feb 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

Offer Description The researcher will develop and integrate artificial intelligence techniques and automatic controls for an aquatic surface drone, with the aim of mapping pollutants in a water basin using continuous reading probes. The techniques will first be validated in a robotic simulation environment (to be developed during the project) and then tested on a physical drone available at the university (and possibly at a project partner company).

Specifically, the main artificial intelligence and control techniques used will be based on reinforcement learning paradigms, state estimation and prediction, and constrained optimal planning.

For admission to the selection process referred to in Art. 1, potential candidates must fulfil the following requirements:a) Master’s Degree in Computer Science or in Computer Engineering (class LM18 or LM32) [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

Italy

Eligibility of fellows: country/ies of residence:

AFRICAEUROPEOCEANIANORTH AMERICASOUTH AMERICAASIAEligibility of fellows: nationality/ies:

AFRICAEUROPEOCEANIANORTH AMERICASOUTH AMERICAASIASelection process

The selection will take place through the comparative evaluation of the titles produced by the candidates
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