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PhD Studentship Opportunity: AI and Robotics for Precision Agriculture using Satellites and UAVs

University of Surrey

Qualification Type: PhD
Location: Guildford
Funding for: UK Students, EU Students
Funding amount: Full UK/EU tuition fee covered Stipend at £15,609 p.a. Personal Computer (provided by the department)
Hours: Full Time
Placed On: 10th November 2021
Closes: 31st January 2022
Reference: PGR-2122-067

AI and Robotics for Precision Agriculture using Satellites and UAVs

Supervisor 1: Oscar Mendez https://cvssp.org/Personal/OscarMendez/index.html
Supervisor 2: Belen Marti-Cardona https://www.surrey.ac.uk/people/belen-marti-cardona

This project will be under the supervision of Dr. Oscar Mendez, who is a Robotics and Artificial Intelligence researcher at the Centre for Vision, Speech and Signal Processing (CVSSP) and Dr. Belen Marti-Cardona, who is a researcher at the Centre for Environmental Health and Engineering. The project will investigate the use of Robotics, Artificial Intelligence, Computer Vision and Deep Learning to estimate soil properties for Precision Agriculture (PA). PA is the practice of using data and AI to aid in agriculture management and sustainability.  Research will aim to deliver algorithms and/or prototypes which can use satellite and UAV technology to capture multi-spectral images and leverage this information to enable PA. You will be using and developing state-of-the-art Artificial Intelligence (AI), Robotics and Computer Vision technology and joining a thriving research community with ongoing projects for Autonomous Vehicles, Robotics and AI.

Research Group

CVSSP Robot Lab

Entry requirements

All applicants should have (or expect to obtain) a first-class degree in a numerate discipline (mathematics, science or engineering) or MSc with Distinction (or 70% average) and a strong interest in pursuing research in this field. Additional experience which is relevant to the area of research is also advantageous.

IELTS 6.5 or above (or equivalent) with no sub-test of less than 6.

How to apply

For enquiries contact Dr Oscar Mendez ( o.mendez@surrey.ac.uk ) indicating your areas of interest and including your CV with qualification details (copies of transcripts and certificates). Shortlisted applicants will be contacted directly to arrange a suitable time for an interview. For further information about our research portfolio and how to apply visit: www.surrey.ac.uk/cvssp

Funding

Full UK/EU tuition fee covered

Stipend at £15,609 p.a.

Personal Computer (provided by the department)

Deadline

31 January 2022

Application enquiries

For application enquiries, please contact Oscar Mendez o.mendez@surrey.ac.uk

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