Postdoctoral Research Fellow - Stirling, United Kingdom - University of Stirling

University of Stirling

Verified Company

Stirling, United Kingdom

1 week ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Post Details
Full time
Fixed term for 27 months

Interviews are expected to take place on the week commencing Monday 24 June 2024.

There is an expectation that work will be undertaken in the UK.

The Post

A cross-disciplinary team of researchers from the Universities of York, Stirling, Cardiff, Manchester, and Southampton are working together on an EPSRC-funded project, Edgy Organism, to develop a novel end-to-end neuromorphic design approach drawing inspiration from how data is processed and represented in the brain and build an efficient hardware architecture based on spiking neural networks (SNNs).

The project aims to develop novel computing solutions, that can autonomously and reliably detect illegal or harmful activities in crowded public spaces, with minimum intrusion of personal space and privacy.

We are recruiting a team of outstanding researchers from Visual Neuroscience, Psychology, Edge Computing, AI/ML, and Neuromorphic Engineering, to work with us on achieving Edgy Organism project's ambitious objectives.

As part of this project, Psychology, Faculty of Natural Sciences is offering a fixed term (27 months) full-time Postdoctoral Research Fellow position to work with Dr Elena Gheorghiu and the cross-disciplinary team of researchers.

Pre-employment screening

Other information
The post holders will join the Cognition in Complex Environments Research Group in Psychology.

Description of Duties
The successful applicant will be responsible for running the day-to-day aspects of the project.

Principally, in this role you will:

Design and implement novel object detection and tracking algorithms which are inspired by the organization of visual cortex and designed to automatically and adaptively learn spatial hierarchies of features
Design and implement multidepth learning system for pattern of life encoding and classification
Design and implement novel neuromorphic computing architectures, focusing on artificial spiking neural networks, interfacing with edge sensors, and efficient hardware implementation
Having regular meetings with team members and stakeholders to track progress, resolve any theoretical, technical, or analytical issues and discuss dissemination strategies
Conduct research, publish, and disseminate research through publications, conference presentations and public engagement

Essential Criteria Qualifications**- PhD, or equivalent research experience, in Computer Vision/ Computer Science, Visual Neuroscience, Psychology, Physics, Electronic Engineering, Mathematics, or similar technical area

Possess specialist knowledge in computer vision/ image processing/ object detection and tracking, and machine learning to work with established software/ research programmes

Research & Skills

Excellent knowledge and skills in Convolutional Neural Networks, Artificial Neural Networks, Machine Learning, or Braininspired computing, including simulation and training methods
Possess specialist knowledge in computer vision/ image processing/ object detection and tracking, and machine learning to work within established research programmes
Evidence of excellent programming skills in Python, C++/C, MatLab or equivalent
Evidence of excellent knowledge and skills in simulation systems development, including specification, design, programming (Python, C++/C, or equivalent) and testing
Evidence of excellent oral and written communication skills
Evidence of research productivity, such as writing papers for publication and reportwriting

Attitudes & Behaviour

Desire to work in a crossdisciplinary team
Proven ability to establish rapport and interact effectively with colleagues
Evidence of selfmotivation and the ability to work independently/ manage own academic research and associated activities
Ability to set and meet deadlines

Desirable Criteria

Knowledge of a range of research techniques and methodologies, excellent research software development skills, including testing and integration with other tools
Experience of carrying out both independent and collaborative research
Attention to detail and commitment to high quality
A developing body of publications in highimpact journals

Behaviours and Competencies

The role holder will be required to evidence that they can meet the qualities associated with the following behavioural competencies, as detailed within the AUA Competency Framework.

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Managing self and personal skills

Being aware of your own behaviour and mindful of how it impacts on others, enhancing personal skills to adapt professional practice accordingly.

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Delivering excellent service
Providing the best quality service to external and internal clients. Building genuine and open long-term relationships in order to drive up service standards.
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Finding solutions
Taking a holistic view and working enthusiastically to analyse problems and to develop workable solutions. Identifying opportunities for