PostDoc Offer: Big Data, IA and Complex Networks for Transport Resilience

When:
01/10/2019 – 02/10/2019 all-day
2019-10-01T02:00:00+02:00
2019-10-02T02:00:00+02:00

Annonce en lien avec l’Action/le Réseau : Innovation

Laboratoire/Entreprise : LICIT
Durée : 12-18 months
Contact : angelo.furno@ifsttar.fr
Date limite de publication : 2019-10-01

Contexte :
Guaranteeing efficient, resilient and sustainable mobility in modern large cities is a very challenging task, due to growing transport demand, climate changes, industrialization and population increase.
Distributed and real-time monitoring of large-scale multi-modal transport systems is emerging as a solution to meet such demands, thus providing transport actors with novel decision-making tools for more effectively managing mobility, by reducing costs and guaranteeing higher-quality services.
The LICIT laboratory of University of Lyon, ENTPE and IFSTTAR is working with academic (INSA-Lyon, CNR-Italy, University of Illinois Chicago, University of Sannio) and industrial partners (Orange, Lyon Metropole) in the framework of the French ANR project “PROMENADE” (Platform for Resilient Multi-modal Mobility via Multi-layer Networks & Real-time Big-Data Processing).

The PROMENADE project aims to improve transport resilience via big real-time data monitoring, complex networks and machine learning solutions.
An open source customisable and extensible platform will be proposed to address the different challenges related to engineering the resilience of large-scale urban transport networks, by integrating tools, algorithms and components to perform heterogeneous data collection (sensors, server APIs, mobile networks, social networks, etc.), big data processing and multi-source data mining.
In this context, we are looking for an enthusiastic postdoc with strong background in Distributed Systems Design and Big Data Processing as well as in Software Engineering, and with an interest and skills in Machine Learning and Data Analysis.

Sujet :
The goal of this postdoc is to contribute to the design and prototyping of the architecture of the PROMENADE platform, as well as supporting the development of algorithms and solutions for resilience and mobility analysis.
The postdoc will also be involved in supporting the activities of three PhD students, whose thesis topics are related respectively to:
developing a data-driven modelling framework for (real-time) reconstruction and analysis of mobility practices from multi-source data;
complex network engineering of large-scale approaches for real-time computation of resilience metrics;
definition of new resilience indicators for multi-modal transport networks via simulation-driven stress testing and dynamic control strategies for new generation resilient transport networks and systems.
The postdoc could be involved in teaching activities related to Intelligent Transportation Systems, Data mining and machine learning.

The platform will be implemented by using multiple technologies suited for big data processing, machine learning and IoT integration (Spark, Scala, Python, Kubernetes, etc.).

Profil du candidat :
The candidate shall hold a PhD in Computer Science, on a topic related to big data, distributed computing, scalable software engineering, machine learning for big data.

Formation et compétences requises :
Proven experience on Big Data Architectures and Technologies (Big Data processing and management) and distributed systems: Hadoop, Spark, Scala, Kubernetes, HBase;
Good scripting and coding skills (bash, java, scala, pyspark, python);
Autonomous and team working capabilities.

*** OFFER DETAILS ***
The postdoc will have the opportunity to work in a stimulating research environment including both academic and industrial collaborations, to participate to both computer science and transportation conferences, as well as spending short abroad research periods in the partner institutions.
Duration: 12 months (with possibility of an extension to 18 months)
Net Salary: 2,000 – 2,300 € per month depending on the experience.
Start Date: end of 2019/beginning of 2020.
Hosting team: LICIT laboratory (http://licit.ifsttar.fr)

*** APPLICATION INSTRUCTIONS ***
To apply, please send an e-mail and CV to
Applications in PDF format or informal enquiries by email to angelo.furno@ifsttar.fr are welcome.
The application deadline is September 30th, but applications will be considered until the position is filled.
The starting date is negotiable, but preferably it is fixed on November 1st, 2019.

Adresse d’emploi :
LICIT/IFSTTAR
25, avenue François Mitterrand
Cité des Mobilités
Case 24
F-69675 Bron Cedex
Tel. : +33 (0)4 72 14 24 70

Document attaché :