Research Associate/Research Assistant in On-Sensor Computer Vision

The role

This is a Research Assistant / Research Associate position within a 4-year long project.

This position involves the development of novel Computer Vision algorithms for embedding computer vision methods on focal-plane sensor-processors systems. This project is a collaboration with project partners who have developed the Pixel Processor Array architecture SCAMP, and involves the development of new methods for on-sensor computer vision.

Specifically, the job involves developing algorithms for embedded systems that are designed to produce sensing and computation on the image plane, and on understanding the best ways to distribute visual computation along the visual path.

The job involves close collaboration with external partners both academic and potentially from industry.

The post lasts for up to the remaining of the 4-years duration of the project.

What will you be doing?

Research Responsibilities

• The post holder will oversee proposing and implementing algorithms for novel on-sensor computer vision as well as delivery of integration of systems for demonstration and evaluation. The work will be in consultation with the principal investigator(s), implementing and evaluating on simulation and real hardware devices, as well as liaise with project partners to integrate the work. The post holder will also be occasionally required to be at partners' site for integration and demonstration of the work.

Administration Responsibilities

• Required to provide progress reports of different levels of detail at project milestone intervals. Also expected to produce research publications at high impact conference and journal venues, develop software libraries and their related documentation.

Teaching Responsibilities

• This role does not involve teaching, however, other commitments permitting, the role-holder may be given development opportunities to undertake activities such as helping in supervising MSc dissertations and PhD students as appropriate.

You should apply if

• Proven experience in the development of visual algorithms implemented in software as well as their documentation.
• Proven experience in the development of image processing and computer vision methods such as visual descriptors, motion descriptors, activity recognition and/or machine learning.
• Proven experience in the development of complex and extensive C/C++ libraries.
• Proven experience in the deployment of Computer Vision/Machine Learning on hardware eg via use of assembly/hardware-related languages.
• Experience with visual sensor programming and or design
• Experience in Robotics or embedded hardware systems eg IoT
• Experience with hardware simulation.

Additional information

For informal queries please contact:

Walterio Mayol-Cuevas - walterio.mayol-cuevas@bristol.ac.uk

To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/

Contract type: Open ended with fixed funding for 40 months

Work pattern: Full time (Part time will be considered)

This advert will close at 23:59 UK time on Monday, 9th June.

Interview dates will be confirmed in due course.

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