Offre en lien avec l’Action/le Réseau : – — –/– — –
Laboratoire/Entreprise : CNRS, I3S
Durée : 2 ans
Contact : raparicio@i3s.unice.fr
Date limite de publication : 2021-05-31
Contexte :
The thesis will take place in the I3S laboratory, a joint public research laboratory resulting from the collaboration of the CNRS, Univ. Cote d´Azur and INRIA. The I3S laboratory is one of the most important research laboratories in information and communication sciences in the French Riviera and was one of the first to settle in the science and technology park of Sophia Antipolis. It brings together just under 300 people.
The postdoc will work with experts in optimization, machine learning and telecommunications networks from the I3S and INRIA.
Sujet :
At this year 2021, cloud IP traffic has become the most part of Internet traffic [1] . A traffic that complexifies with an increasing devices diversity and traffic dynamicity [2] . The combination of Machine Learning (ML) and Artificial Intelligence (AI) with Network Softwarization (SDN/NFV) [4] has been proposed in the so-called Knowledge Defined Networking (KDN) [3] to give rise to a “Cognitive Cloud.” This “Cognitive Cloud” will allow automatically adapting to the growing complexity and variability of Internet traffic by (i) (re-)learning Cloud network control policies from data monitoring; and, (ii) applying these control policies onto a (re-)configurable Cloud network. For example, thanks to the flexibility provided by Network Softwarization (SDN/NFV), an application could be (re-)deployed in the Cloud or on the Edge (closer to the user) seamlessly (i.e. without degrading the user experience) to optimize the resources usage. This decision would be based on the past and current network status.
Thus, this postdoc is placed at the crossroad of two domains:
1. Artificial Intelligence (AI): Deep Learning Artificial Neural Network (ANN) will be used to learn the optimal control policies from network data.
2. Cloud Computing and Networking Sotwarisation: SDN, virtualization and Cloud orchestration tools will be used to implement the above-mentioned control policies onto private test-beds and/or public cloud platforms.
First, the postdoc researcher will work on the development of the AI algorithms and its deployment on test-beds and/or public cloud platforms. Hence, machine learning knowledge is necessary. Second, the postdoc will work on the development and maintenance of the Cloud test-beds (based on private or public infrastructure) where the AI algorithms will be deployed. Then, a strong background on system, networking and Cloud technologies is recommended.
Profil du candidat :
Researchers interested in applying to the Call for expression of interest of UCAJEDI may be of any nationality but they should meet the eligibility criteria of the Marie S.-Curie programme, which are the following:
· Must be postdoctoral researchers at the date of the call deadline (September 15, 2021), i.e. in a possession of a doctoral degree, defined as a successfully defended doctoral thesis, even if the doctoral degree has yet to be awarded.
· Must comply with the following mobility rule: they must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 36 months immediately before the call deadline.
· At the call deadline (September 15th, 2021), supported researchers must have a maximum of 8 years full-time equivalent experience in research, measured from the date that the researcher was in a possession of a doctoral degree and certified by appropriate documents. Years of experience outside research and career breaks (e.g. due to parental leave), will not be taken into account.
Formation et compétences requises :
Desired level of studies:
– PhD degree on Information and Communication Technologies (disciplines such as Computer Science, Telecommunications or Data Science)
IT skills:
– Python 3.5 language, Python frameworks (like PyCharm, Jupiter Notebook, Spyder, Conda)
– Deep Learning Libraries (like TensorFlow, Keras)
– Networks and system (Unix, typically)
– VM/Containers technologies, cloud orchestration (OpenStack, Kubernets, Ansible, Docker, LXD/LXC)
– Network programmability: SDN controllers (e.g. OpenDaylight), OpenFlow protocol, Mininet emulator
– OOP (like Java)
Theory:
– Machine learning and data science (namely neural network theory)
– Classical optimization theory (convex optimization, combinatorial optimization)
– Computer network control plane (algorithms and protocols)
Adresse d’emploi :
APPLY TO THE CALL FOR EXPRESSION OF INTEREST
If you meet the eligibility criteria described above and are interested to respond to our call for expression of interest you have two choices:
· Look into our university’s host offers (click to see the list of projects) and find the research topic that best suits your career interests.
· Send us your CV[1] and a Cover letter tailored to the research topic you chose from our offer.
OR
· If you do not find a topic that corresponds to your interests, propose a personal innovative and transdisciplinary postdoc research project that can be deployed over 12-24 months. It would be better if you will have already identified a research unit.
· Send us your CV1, a Cover letter and a description of the research topic you propose (objectives, approach, methodology, impact…)
Send us your application in English at cellule-europe-mutualisee@univ-cotedazur.fr
Application deadline: May 31, 2021. The sooner the better!
[1] Your CV should also include information on publications, granted patents, invited presentations to international conferences, organization of conferences in your field of research, examples of participation in industrial innovation, prizes and awards, funding received so far, supervising and mentoring activities.
Accepted applicants will be contacted at the latest mid-June and they can immediately start working on the proposal together with their supervisor. The Joint European Research Office of UCAJEDI will provide full support in the application process.
We thank you in advance for your interest and for disseminating this message.