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

Mark just sent me the following:

Dear Igor, 

This job might be of interest to Nuit Blanche readers who have some research experience but are still in the first five years of their research career. (Marie Curie eligibility conditions for this post mean that candidates must not have more than 5 years research experience, and must either have a PhD or at least 4 years research experience.) Best wishes, Mark

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Marie Curie Experienced Researcher in Video Analytics for Large Camera Networks

VisioSafe, Switzerland

http://www.spartan-itn.eu/index.php#1|8

Marie Curie Annual Allowance: €69,966 (Pre-Employer/Employee Tax)* plus Marie Curie Annual Mobility Allowance: €10,046/€14,352 (Pre-Employer/Employee Tax)*

Closing Date:  26 February 2016

Applications are invited for a 24-month Marie Curie Experienced Researcher (ER) position at VisioSafe, Switzerland in Video Analytics for Large Camera Networks. This post is part of the SpaRTaN Marie Curie Initial Training Network (http://spartan-itn.eu/), bringing together leading academic and industry groups to train a new generation of interdisciplinary researchers 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 or doctoral degree in image processing, computer science and/or engineering, or related areas. 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.

Eligibility: At the time of starting, candidates must be within the first five years of their research career, must have either (i) a PhD or (ii) at least four years of full-time equivalent research experience. They must not have spent more than 12 months in the host country in the 3 years prior to starting.

For more details on eligibility and how to apply, see http://www.spartan-itn.eu/index.php#1|8

* Salary adjusted for host country prior to employer and employee tax being deducted. The gross and net amount received by the ER will be different from that listed.

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Prof Mark D Plumbley
Professor of Signal Processing
Centre for Vision, Speech and Signal Processing (CVSSP)
University of Surrey
Guildford, Surrey, GU2 7XH, UK

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