Connectionists: Marie Curie Experienced Researcher in Video Analytics for Large Camera Networks, VisioSafe, Switzerland

m.plumbley at surrey.ac.uk m.plumbley at surrey.ac.uk
Wed Aug 10 12:00:48 EDT 2016


Marie Curie Experienced Researcher in Video Analytics for Large Camera Networks

VisioSafe, Switzerland

http://www.spartan-itn.eu/#1

Closing Date:  Open until filled

Applications are invited for a Marie Curie Experienced Researcher (ER) position at VisioSafe, Switzerland in Video Analytics for Large Camera Networks. This post is for 24 months maximum (to end by 30 Sept 2018), as part of the SpaRTaN Marie Curie Initial Training Network in sparse representations and compressed sensing. 

Over the past years, VisioSafe have installed hundreds of cameras to get in-depth insights on human mobility in large public scenes such as train terminals. We have collected more than 75 million trajectories aggregated as temporal Origin-Destination (OD) matrices from two train terminals during one year.

The selected candidate will analyze such Big Data to identify behavioural patterns in transportation settings. More specifically, we aim to address how predictable is human behaviour. Can we learn structures in the OD matrices to infer recurrent and abnormal patterns? The outcome of the project will help to understand the space usage, to forecast human flows, and to simulate the impact of infrastructure changes.

Candidates should hold a master's degree in image processing, computer science and/or engineering, or related areas. To be eligible for this funding, the master's degree must have been completed at least four years, but not more than five years, before starting this post. The candidate must not have spent more than 12 months in the host country in the 3 years prior to starting. 

Experience in image-processing algorithms is essential. Candidates are also expected to have good skills in programming (C and C++), proficiency in English, the right to work in Switzerland and availability to travel within the SpaRTaN network.

For more details on eligibility and how to apply, see http://www.spartan-itn.eu/#1

--
Prof Mark D Plumbley
Professor of Signal Processing
Centre for Vision, Speech and Signal Processing (CVSSP)
University of Surrey
Guildford, Surrey, GU2 7XH, UK
Email: m.plumbley at surrey.ac.uk




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