Call for postdoc at LICIT

When:
20/07/2020 – 21/07/2020 all-day
2020-07-20T02:00:00+02:00
2020-07-21T02:00:00+02:00

Offre en lien avec l’Action/le Réseau : PLATFORM/– — –

Laboratoire/Entreprise : LICIT
Durée : 12-18
Contact : angelo.furno@ifsttar.fr
Date limite de publication : 2020-07-20

Contexte :
We are looking for an enthusiastic research fellow (with a Phd degree or with a
Phd defence scheduled in the next months), potentially interested in our currently
open post-doctoral position, entitled:

IoT-microservices platform for mobility monitoring, analysis and recommendation

Please, consider sharing this call among potential candidates and colleagues.

If interested to apply, please send the following documents to angelo.furno@ifsttar.fr :
A curriculum vitae;
Transcript of records (marks) up to the Master degree;
The Phd Thesis manuscript;
A two-page (maximum) research statement discussing a personal vision of the position, wrt references proposed in the call (see below)
At least, one recommendation letter and a list of references to contact.
A PhD on a software engineering/distributed systems topic is required.
Knowledge of AI and data science is considered a positive plus.

Sujet :
Postdoc project description
================
The project aims to develop a data-driven monitoring and decision-making platform,
based on IoT and micro-services technologies, to improve transport resilience via
(real-time) big data analytics and complex network mining solutions.

The project provides a unique opportunity to work with a large variety of collected
real-world large-scale datasets for the city of Lyon, France from our partners,
including:
mobile phone (passive) data,
multi-modal transport network of the city of Lyon,
GPS floating car data,
survey data,
vehicle count data,
smart-card data, etc.
Real-time data will be available as well, thanks to a collaboration with a major European provider
of real-time travel information services.

The postdoc will be involved in activities related to the implementation of the prototype of the
PROMENADE platform, which relies on IoT lambda/kappa architectures for automated deployment,
scaling, and management of smart mobility resilience-related micro-services, based on the
preliminary work from the team.

She/He will also be involved in the development of services for mobility data collection, analysis
and decision making.

Please do not hesitate to contact me or Pr. Nour-Eddin EL FAOUZI (nour-eddin.elfaouzi@ifsttar.fr),
in CC, for more information, and share CVs of any contact potentially interested to our proposal.

We are ready to schedule a Skype interview to discuss more about the available position.
The postdoctoral position is expected to start in the period August-December 2019 and
could have a duration between 12 and 18 months.

The link to the full call:
https://promenade.licit-lyon.eu/documents/call_for_postdoc_PROMENADE_short.pdf

Bib references:
[1] De Iasio, A., Furno, A., Goglia, L., & Zimeo, E. (2019, December). A Microservices Platform for Monitoring and Analysis of IoT Traffic Data in Smart Cities. In 2019 IEEE International Conference on Big Data (Big Data) (pp. 5223-5232). IEEE.
[2] Henry E., Bonnetain L., Furno A., El Faouzi N.E., Zimeo E. (2019, June). Spatio-temporal Correlations of Betweenness Centrality and Traffic Metrics. In 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).
[3] Daniel, Cecile, Angelo Furno, and Eugenio Zimeo. “Cluster-based Computation of Exact Betweenness Centrality in Large Undirected Graphs.” 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019.
[4] Castiello A., Fucci G., Furno A., Zimeo E. (2018, December). Scalability Analysis of Cluster-based Betweenness Computation in Large Weighted Graphs. In 2018 IEEE International Conference on Big Data (Big Data).
[5] Bonnetain L., Furno A., Krug J., El Faouzi N.E. (2019, January). Can we map-match individual cellular network signaling trajectories in urban environments? A data-driven study. In 98th Transportation Research Board Annual Meeting (TRB),
[6] Furno, A., Fiore, M., Stanica, R., Ziemlicki, C., & Smoreda, Z. (2016). A tale of ten cities: Characterizing signatures of mobile traffic in urban areas. IEEE Transactions on Mobile Computing, 16(10), 2682-2696.
[7] Katsikouli P., Fiore M., Furno A., Stanica R. (2019, June). Characterizing and Removing Oscillations in Mobile Phone Location Data. In 2019 IEEE 20th International Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM).
[8] Fekih, M., Bellemans, T., Smoreda, Z. et al. A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France). Transportation (2020).

Profil du candidat :
A PhD on a software engineering/distributed systems topic is required.
Knowledge of AI and data science is considered a positive plus.

Formation et compétences requises :
If interested to apply, please send the following documents to angelo.furno@ifsttar.fr :
A curriculum vitae;
Transcript of records (marks) up to the Master degree;
The Phd Thesis manuscript;
A two-page (maximum) research statement discussing a personal vision of the position, wrt references proposed in the call (see below)
At least, one recommendation letter and a list of references to contact.

Adresse d’emploi :
LICIT laboratory (Lyon, France),
University of Lyon & University Gustave-Eiffel,
Lyon, France

Document attaché : 202007201234_call_for_postdoc_PROMENADE_short.pdf