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

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

Organisation/Company: Università degli Studi Roma Tre Research Field: Engineering Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3) Country: Italy Application Deadline: 14 Jan 2025 - 23:59 (UTC) 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 Precision 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 agriculture Eligibility of fellows: country/ies of residence: EUROPE Eligibility of fellows: nationality/ies: #J-18808-Ljbffr