Research Assistant £26,243 - £30,395 or Research Associate £32,236 - £39,609
Fixed-term: The funds for this post are available until 31 July 2019.
A position is available to work on a project entitled "Co-Evolving Built Environments and Mobile Autonomy for Future Transport and Mobility", starting as soon as possible.
This project aims to provide new tools in support of a novel framework that facilitates the development of enhanced infrastructure for mobile autonomy in built environments. Specifically, we will develop methods that optimize the placement and configuration of sensor nodes for perceptive infrastructure in aid of autonomous mobile navigation in urban environments. The core research will consider sensor node placement strategies for an optimally enhanced infrastructure. Since classical combinatorial optimization methods are intractable for large-scale problems, the project will leverage tools from data science, machine learning and predictive analytics.
Essential requirements: Candidates for the position of Research Assistant should have a 1st class Master's degree in computer science, engineering, mathematics or a closely related discipline, with experience and interest in one of the following areas: machine learning, optimization, mobile autonomy. Very good programming skills are required. If a candidate has a track record of publications, it should be included in the application as a link to a Google Scholar or ORCID profile. (A PhD is not required for this position but those with a PhD, or equivalent experience, will be appointed as a Research Associate).
Applicants should contact Dr Amanda Prorok (http://www.proroklab.org) for further information.
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Please quote reference NR18641 on your application and in any correspondence about this vacancy.
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