Title: “Vehicle Enabled Big Data Platform in an Urban Environment”
Description:
By 2050, around 70% of people on the planet will live in urban areas. This means that local authorities now have an urgent role to play in responding to the challenges that come with increased city living. Citizens increasingly demand access to meaningful data, and cities are responding by building platforms that improve municipal service delivery and urban quality of life. A smart city in the eye of the citizen means developing contextual applications to improve their lives by enhancing the efficiencies of business transactions, healthcare, traffic or energy systems.
The aim of this internship is to build an intelligent big data platform for the governance of environmental and traffic data, and make it available for others to use. A set of sensors would be deployed in cars in order to collect data while moving throughout the city. The extracted data can be aggregated and
eventually processed in order to extract and provide meaningful information.
By providing access to the data and making it available for everyone, the proposed platform would enable many innovative applications, enriching the live of all citizens in a smarter city.
The main technical challenges of this work are: retrieving data from sensors and then, after some specific treatment, storing it in a central data base (in a distant server). The trainee has finally to propose a service based on the collected data for a large scale deployment in a smart city.
Desired profile:
-‐ Initial training required: BAC + 5 (last year internship of Engineering School or Master 2) in Computer sciences, with a strong knowledge in networking and web applications.
Required skills:
-‐ Android and Java programming.
-‐ Some basics on Arduino board.
-‐ Good English level.
Selection process:
The internship will start in February 2017 and will take place in the (Institute Superior Automobile and Transport) in Nevers over a period of 5-‐6 months.
Potential candidates are requested to send their resume and latest transcripts to: sidi-‐mohammed.senouci@u-‐bourgogne.fr and ayoub.messous@u-‐
bourgogne.fr
