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Postdoctoral Research Fellow in Computer Vision and AI

Research Investment Fund (EXTERNAL)

Location:  Ormskirk
Salary:  £36,386 to £40,931 per annum pro rata
Fixed Term from 10/04/2023 until 09/04/2026
Post Type:  Full Time
Closing Date:  Tuesday 03 January 2023
Reference:  EHR0116-1122

We’re here to create and harness knowledge, to deliver opportunity for everyone. 

About the Role

You will work on an EPSRC (Engineering and Physical Science Research Council) funded project, ATRACT – A Trustworthy Robotic Autonomous system to support Casualty Triage. The project aims to develop drone-based active sensing, and simultaneous detection and monitoring of injured soldiers in a battlefield for a rapid effective prioritisation in a trustworthy manner before the evacuation helicopter arrives. Beyond battlefield, it can be adapted to civilian applications including search and rescue, ambulance emergency and other multiple-casualty disaster situations. Its trustworthiness will be achieved by considering legal, ethical, system and human elements embedded via design, development, and testing phases. Due to the interdisciplinary nature of the project, you will be working closely with involved co-investigators from Loughborough University London, University of Brighton, and the University of Portsmouth.

For informal enquiries about this vacancy, you may wish to contact: Professor Ardhendu Behera at

About You

You will have a strong scientific interest, self-motivation and willingness to work as a team player within an interdisciplinary setup. You should have a PhD in the broad area of Computer Science/Engineering and/or Applied Mathematics with experience in computer vision, deep learning, neural networks, graph theory, artificial intelligence (AI) and strong computational skills. You must have working knowledge of computer vision and machine learning with strong programming (e.g., Python) and mathematical skills. You should have also experience in software development using agile, iterative and data-driven methodology. A good hands-on-experience with opensource deep learning tools (e.g., TensorFlow, Keras, PyTorch, etc.) is anticipated. Research/work experiences in fine-grained visual classification (FGVC) and/or visual recognition of images/videos from drones are desirable. Publications in top machine learning and/or computer vision conferences/journals (e.g., CVPR, ICCV, ECCV, BMVC, AAAI, NeurIPS, ICML, ICLR, etc.) is highly desirable.

At Edge Hill University we value the benefits a rich and diverse workforce brings to our community and therefore welcome applications from all sections of society.

Rewards & Benefits

•   A minimum of 48 days annual leave per annum, pro rata (inclusive of bank holiday and University closure days) 

•  Access to a range of CPD to support your career development, with three defined pathways for progression.

•   Automatic enrolment into the Teacher’s Pension Scheme with our employer contribution of 23.68%

•   Discounted membership to our onsite state-of-the-art sport and leisure facilities

•   Beautiful award-winning on-campus working environment

•   Staff benefits scheme, which provides you with discounts across the high street, supermarket shopping, cinema tickets, dining out and more

About Us

At Edge Hill University we believe in the life changing opportunities knowledge can create. Since 1885, we’ve been creating access to knowledge for those who may not have had the opportunity to before. 

Today, the effect we have has a far-reaching impact, not just for those who come to study here but for those who work, invest in, and live in our local communities too. So, if you’ve ever wondered if one person can make a difference, simply speak to our alumni, students, and award-winning staff.

Because for us education isn’t about how much you take in. It’s about what you take out into the world. 

Inspiring minds and changing futures since 1885, Edge Hill University is “A great success story… an institution that improves and impresses year after year” – Times Higher Education. 

Further details:    Job Description & Person Specification    
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