Postdoctoral Research Associate in Neuromorphic Imaging

at  Heriot Watt University

Directorate: School of Engineering & Physical Sciences
Salary: Grade 7 (£36,924-£46,485)
Contract Type: Full Time (1FTE), Fixed Term (12 Months)
Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by Heriot-Watt University

JOB DESCRIPTION

This project will investigate the implementation of spiking neural networks (SNNs) on traditional computational platforms and dedicated neuromorphic hardware for accelerating computer vision tasks.
The development of neuromorphic hardware has recently enabled the implementation of fast computational methods for extracting information for sensor data. While originally designed to handle data encoded via temporal series of spikes or events, neuromorphic hardware can now be used to extract information from images or videos at very high-speed, potentially competing with state-of-the-art architectures leveraging GPU processing power.

In this project, we will:

• Compare state-of-the-art object detection algorithms implemented on standard computing platforms as well as neuromorphic accelerators.
• Use detection results to analyse the behavior of small, fast moving objects, such as particles within microfluidics devices.
• Investigate novel SNN training procedures for complex computer vision tasks.

The methods presented above will primarily be used to extract information from frame-based cameras, but also from event-cameras.

• Develop suitable algorithmic methods live and real-time analysis of event-based data.
• Write research reports and publications. Analyse and interpret the results of own research and generate original ideas bases on outcomes. Prepare proposals and applications to external bodies, e.g. for funding purposes. Use initiative and creativity to identify areas for research, develop new research methods and extend the research portfolio.
• Build internal contacts and participate in internal networks for the exchange of information and to form relationships for future collaboration. Work with academic colleagues on areas of shared research interest and contribute to collaborative decision making. Join external networks to share information and identify potential sources of funds.
• Provide guidance as required to support staff, research students and any other students who may be assisting with the research.
• Contribute, under supervision, to the planning of research projects, including the development of new grant/contract proposals. Make internal and external contacts to develop knowledge and understanding and form relationships for future collaboration.
• We are looking for a creative and highly motivated researcher willing to work as part of a multidisciplinary team.
• The ideal candidate will have a strong theoretical understanding and an experimental background in one or more of the following fields: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing.
• Good communication skills and an appropriate publication record are essential.
• Solid knowledge of Python and C++ is essential.
• General tasks will involve scientific research; analysis and interpretation of data; communication with other investigators involved in this collaborative project; preparation of scientific papers.
• The successful candidate will be expected to conduct and lead their own experiments whilst also supervising the activities of junior group members and PhD students.
• Responsibilities will also include assistance in the day-to-day maintenance of the experimental facilities, liaising with companies and external collaborators.
• The successful candidate is also expected to be involved in our outreach activities, with roles that can be tuned to the specific preferences of the candidate but will involve for example interviews, talks for the general public and preparation of experimental demonstrators.
  Please note that this job description is not exhaustive, and the role holder may be required to undertake other relevant duties commensurate with the grading of the post and its general responsibilities. Activities may be subject to amendment over time as the role develops and/or priorities and requirements evolve.