Research Associate - Glasgow, United Kingdom - University of Strathclyde

University of Strathclyde

Verified Company

Glasgow, United Kingdom

1 week ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Salary:
£36,024 per annum

FTE:1 FTE

Term:
Fixed (12 months)

Closing Date: 15 September 2023

As a Research Associate, you will be working on a 12-month research project under the general guidance of Principal Investigator Dr Gaetano Di Caterina, Senior Lecturer in the EEE Department, at the University of Strathclyde, and Director of the Neuromorphic Sensor Signal Processing (NSSP) Lab.

This research project is funded by DSTL through the WSRF framework, with the University of Strathclyde being the project lead, with some work subcontracted to Leonardo UK Ltd, therefore building on previous and other ongoing engagements between Strathclyde and Leonardo.

In this context, you will play a primary role in conducting the research for the project and in preparing the technical reports and documents to be shared with the industrial partners and funders.

As part of the NSSP Lab, you will engage with a growing internationally-recognised research group and will be involved in other state-of-the-art research in Neuromorphic Engineering and Deep Learning.

You will have the opportunity to collaborate in writing up research work for publication and disseminate the results via peer reviewed journal publications and presentation at conferences.

As a member of staff of the University of Strathclyde, you will also have the opportunity to engage in continuous professional development.

To be considered for the role, you will be educated to a minimum of PhD level in a relevant discipline (engineering, computer science, applied physics), or have comparable research experience, with a proven track record of publications, in addition to a relevant degree (Honours undergraduate degree, or international equivalent, as minimum).

You will have solid knowledge of machine learning, neural networks and deep learning, all underpinned by strong and extensive programming experience in Python and Matlab.

Good prior knowledge of computer vision is preferable.

You will have an ability to plan and organise your own workload effectively and an ability to work within a team environment.

You will have excellent interpersonal and communication skills, with the ability to listen, engage and persuade, and to present complex information in an accessible way to a range of audiences.

Research Associate

Department:
Electronic and Electrical Engineering

Posted:28/08/2023

Closing date:15/09/2023

Closing time:23:59