IT & Software

ICNS Research Associate in Neuromorphic Vision Systems

The University of Manchester

Manchester · Greater Manchester · United Kingdom

Overview

In this role you will design and implement neuromorphic vision systems, spanning theoretical pixel operation, optimization of processing algorithms, and hardware realization. You will collaborate with neuroscience, engineering, and computer science teams to build functional models that learn, store, and detect patterns, and to develop demonstrator applications. You will contribute to the university’s research output through data analysis, publications, and dissemination via seminars and conferences. You will also help identify new research directions and prepare proposals for independent and collaborative projects. This is an opportunity to advance cutting-edge neuromorphic vision research,影

Pay / Benefits
  • Fantastic market leading Pension scheme
  • Excellent employee health and wellbeing services including an Employee Assistance Programme
  • Exceptional starting annual leave entitlement, plus bank holidays
  • Additional paid closure over the Christmas period
  • Local and national discounts at major retailers
Responsibilities
  • Design and implement neuromorphic vision systems across theory, algorithms, and hardware
  • Develop learning, storage, and pattern detection models
  • Contribute to demonstrator applications showcasing research impact
  • Analyze data and contribute to publications, seminars, and conferences
  • Identify new research directions and assist in proposal preparation
Key requirements
  • Experience with neuromorphic vision concepts and hardware-oriented research
  • Ability to collaborate across neuroscience, engineering, and computer science
  • Strong data analysis and interpretation skills
  • Record of research publication and dissemination
  • Experience in preparing research proposals and funding applications
  • Collaborative and interdisciplinary communication
  • Proactive problem solving
  • Strong scientific written and oral communication
  • Theory of pixel operation
  • Optimization of processing algorithms
  • Hardware implementation

Reference: WJ-747_30994617

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