Development Of Control-Based And Machine Learning Approaches For Precision Agriculture

Organisation/Company: Università degli Studi Roma TreResearch Field: EngineeringResearcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)Country: ItalyApplication Deadline: 14 Jan 2025 - 23:59 (UTC)Type of Contract: To be definedJob Status: Not ApplicableIs the job funded through the EU Research Framework Programme?
Not funded by a EU programmeIs the Job related to staff position within a Research Infrastructure?
NoOffer DescriptionPrecision agriculture can greatly benefit from automated solutions to improve production quality, making the whole process more environmentally friendly.
In this context, autonomous driving capability in highly dynamic environments is crucial to effectively accomplish any task.
The idea is to leverage Control Theory, machine learning, and optimization to achieve robust guidance systems to improve current robotic solutions applied to precision agriculture.Responsibilities:Development of approaches based on control and machine learning for precision agricultureEligibility of fellows: country/ies of residence:EUROPEEligibility of fellows: nationality/ies: #J-18808-Ljbffr