Research Assistant in Image-based Drones Tracking and Classification with Deep Learning
(Full/Part-time Modes Available with Options to Work from Home)
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Salary ─ ~£2,226 per month (~£104 per day, ~£14.7 per hour)
Duration ─ 3 months, full-time/part-time
Starting Date ─ December 2020/January 2021
Location ─ Work-from-home/Durham University
Department ─ Computer Science, Durham University
Deadline ─ Applications will be processed upon receival until the positions are filled.

Job Information

We are seeking one or more motivated Research Assistant to work on a short-term research project funded by S-TRIG from the UK Catapult Network. The research aims at providing extra capacity to the UK government to identify and counter hostile drones. With the support provided by the team, the successful candidates will research and implement solutions, with a prospect of research publications if good results are achieved, in the area of image-based drones analysis using deep learning. Possible functionalities may include drones detection, tracking, classification, reidentification, etc., which will be decided based on the candidates' strength and experience.

The project is for 3 months. Applicants can indicate the preferred mode of working (full-time/part-time) and the location of working (work-from-home/Durham University). In the part-time mode, the project will still have the same duration while the candidate will work on one sub-part of the job.

The project is led by Dr Hubert P. H. Shum, who is an Associate Professor in Computer Science. He organized international conferences such as BMVC and ACM SIGGRAPH MIG, and is an Associate Editor of CGF and a Guest Editor of IJCV. He has published over 100 research papers in computer vision, graphics and machine learning.

This job is from Durham University, which is ranked top 100 in the world and the 4^th in the UK. It is a member university of the elite Russell Group and is the third oldest university in England, following Oxford and Cambridge. The Department of Computer Science is one of the fastest-growing departments in the University, supported by major investments in buildings and staff. 83% of its research outputs are considered as “world-leading” and “internationally excellent” by the UK Research Excellence Framework.

Requirements

• [Essential] Experience in deep learning research and implementation
• [Essential] Currently studying/holding a relevant Doctoral degree, or, holding a Masters degree with highly-relevant experiences
• [Desirable] Experience in one or more of the following: image/video-based detection, tracking, classification, reidentification
• [Desirable] Communication, team-working and project management skills
  

Eligibility

As a funding requirement, we will only consider candidates who are eligible to work in the UK. Masters/Doctoral students holding the UK student visa may apply this as a part-time job.

To Apply

To facilitate the flexibility of different work patterns, this job will be applied through the "casual employment" pathway, in which a short-term contract of 3 months in any work proportion can be issued.

To apply, please email the following to Dr Hubert P. H. Shum (hubert.shum@durham.ac.uk)

• A full resume, highlighting any experience on deep learning and/or computer vision
• A cover letter, including:
  • Your preferred work pattern: full-time/part-time/both
  • Your preferred work location: work-from-home/Durham University/both
  • When you can start working: December 2020/January 2021/both
  • Any other points of highlight/consideration

For any queries, please email Dr Hubert P. H. Shum.

People

• Dr Hubert P. H. Shum, Durham University
• Dr Chris G. Willcocks, Druahm University
• Dr Cunjia Liu, Loughborough University
• Prof. Toby P. Breckon, Durham University
• Dr Daniel Organisciak, Northumbria University