[robotics-worldwide] [jobs] PhD Studentship in Computer Vision for Autonomous Vehicles
Applications are invited for a PhD Studentship in Computer Vision for
Autonomous Vehicles in the Computer Vision Group at Maynooth University
Department of Computer Science. The position is fully funded for 4 years
through Lero – the Irish Software Research Centre (www.lero.ie) as part
of a 4 year collaborative project with a Tier 1 supplier of automotive
vision systems and includes a competitive stipend, PhD fees (EU level),
a generous travel allowance, and funding for associated hardware and
software (as part of the wider project).
The topic of the PhD is robust data-association in multi-session and
collaborative simultaneous localisation and mapping (SLAM). Solutions to
this problem are particularly relevant in autonomous vehicle settings
where algorithms are required to relate visual sensor data from repeated
trajectories through the same environment across long time scales (e.g.
months or years). These algorithms must therefore be robust to strongly
varying lighting and weather conditions, and considerable variation in
scene structure and appearance. Recent developments in deep learning are
presenting compelling new approaches to addressing this problem. The aim
of the PhD will be to investigate and develop new approaches that
leverage and extend these results in the context of autonomous vehicles.
The student will be expected to work closely with members of the
research team both at Maynooth University and at the commercial
partner’s site in Ireland, contributing new knowledge to the area and
actively publishing their research results in leading computer vision,
robotics, and/or intelligent vehicle system conferences and journals.
The successful candidate must have:
- a Bachelor’s or Master's degree in Computer Science, Electronic
Engineering, or a cognate discipline, with a final grade of 2.1H or
higher (or equivalent)
- prior modules completed in a selection of the following topics:
computer vision, robotics, AI/machine learning
- a strong mathematical background
- excellent software development and programming skills, with a strong
capability in C++
- experience in working with Linux based systems
- excellent written and verbal communication skills
Experience in the following is also desirable:
- application of computer vision / robotics / machine learning to
real-world problems (e.g. through previous projects, internships, etc.)
- python, OpenCV, the Robotics Operating System (ROS), Deep Learning
Frameworks (e.g. pytorch, TensorFlow, etc.)
Applicants with previous research experience, and in particular,
publications in any of the scientific areas mentioned above will be
favoured in the recruitment process.
Applications including a cover letter, full CV, and contact details of
two academic referees should be sent to Dr. John McDonald
([hidden email]) with the subject line “LERO PhD 08/18”.