Research Associate - Glasgow, United Kingdom - University of Strathclyde

University of Strathclyde

Verified Company

Glasgow, United Kingdom

3 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Salary:
£36,024

Term:
Fixed Term (Until 30/09/2027)

FTE: 1 (35 hours/week)

Closing Date: 15 September 2023

As a Research Associate, you will be working on a 4-year research programme funded by Leonardo UK under the general guidance of the Leonardo Lecturer 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.

In this context, you will play a primary role in conducting the research for the programme under the supervision of Dr Di Caterina; preparing the technical reports and documents to be shared with Leonardo and other research collaborators involved in the programme; producing research outputs to be published in journals and conferences.

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 collaborate in writing up research work for publication and disseminate the results via peer reviewed publications and presentation at conferences.

You will provide advice to students and contribute to teaching in a small capacity, as required by the EEE Department.

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 extensive programming experience in Python and Matlab.

Good prior knowledge of neuromorphic engineering, spiking neural networks, computer vision and image processing 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.

Please

Research Associate

Department:
Electronic and Electrical Engineering

Posted:28/08/2023

Closing date:15/09/2023

Closing time:23:59