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Artificial Nervous System for a Quadruped Robot


   School of Engineering

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  Dr Adrian Rendon-Nava, Prof Radhakrishna Prabhu  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Robert Gordon University, through the School of Engineering is offering a PhD studentship, within the Instrumentation & Sensors Research Group.

Artificial Intelligence (AI) has seen a significant growth in the past decades, and it is expected to continue in the following years. A specific application of AI is to understand how the human brain works and one particular way of tackling the problem is through computational neuroscience.

This project aims to develop a neural network for a quadruped robot. The neural network will allow the robot to move in different directions (forward, backward and rotational movements) and to negotiate the environment (altering its movement characteristics such as gait in response to different stimuli). The robot will also have a primitive limbic system which will endow it to have simple behaviours such as motivation for feeding and fight or flight response. The project therefore involves both experimental and modelling/simulations. 

Desirable skills and knowledge: Knowledge or experience in mechatronics, robotics and programming in Python is advantageous.

Applications should be emailed to Dr Adrian E. Rendon Nava at [Email Address Removed]

The applications should consist of a covering letter or personal statement of interest, academic transcripts and a CV.

It is expected that candidates are available to register and commence study on 01 Feb 2023. In addition, the successful candidate will be expected to submit publications to refereed journals and to present their findings at international conferences.

Questions should initially be addressed to: 

Dr Adrian Rendon Nava

School of Engineering, Robert Gordon University, Sir Ian Wood Building, Garthdee Campus, Aberdeen, AB10 7GJ United Kingdom

T: +44 01224 264221

E: [Email Address Removed]

W: https://www.rgu.ac.uk/

Entry Requirements

Applicants should have a First- or Second-Class UK honours degree, or equivalent, in a relevant discipline such as Electric/Electronic Engineering, Biomedical Engineering, Bionic Engineering, and Computing or Computer Sciences. An MSc in a relevant subject is highly desirable. Knowledge or experience programming in Python is advantageous.

Keywords: Artificial Intelligence, AI, Computational Neuroscience, Machine Learning, Deep Learning.


Funding Notes

Applicants are eligible for a fee waiver studentship for the duration of the 3 years. This studentship will cover the tuition fees only for qualified home or overseas students. Interested candidates will have to secure their own financial support to support their living costs during the duration of the PhD study.

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