Description

2022-04843 - Scientific Engineer on Network Security Automation in beyond 5G networks

Contract type : Fixed-term contract

Renewable contract : Oui

Level of qualifications required : Graduate degree or equivalent

Fonction : Temporary scientific engineer

Level of experience : From 3 to 5 years

Context

The offered position is proposed by the RESIST team of the Inria Nancy Grand Est research lab, the French national public institute dedicated to research in digital Science and technology. The team is one of the European research group in network management and is particularly focused on empowering scalability and security of networked systems through a strong coupling between monitoring, analytics and network orchestration.

https: // team.inria.fr/resist/

This work is in the context of the H2020 AI@EDGE project (A Secure and Reusable Artificial Intelligence Platform for Edge Computing in Beyond 5G Networksstarts in January, 2020) involving partners all around Europe.

Assignment

This work is in the context of the H2020 AI@EDGE project (A Secure and Reusable Artificial Intelligence Platform for Edge Computing in Beyond 5G Networksstarts in January, 2020) involving partners all around Europe. This project will bring different use cases for testing solutions. It will define a framework and techniques to empower the automation of network security assuming a highly dynamic environment, in particular Mobile-Edge Computing infrastructure and 5G. In such an environment, resources are virtualized and shared among users with an underlying high volatility and changes in resource allocations and needs.

In this project, the main contributions of the RESIST team is to automate security mitigation techniques using reinforcement learning and automatically generate datasets for evaluating AI algorithms in different configurations.

The engineer will be integrated in the RESIST research team to support the realization of the highlighted contributions including support for research with the development of tools and software, identification and tests of AI algorithms, project documentation and task management.

Main activities

The engineer will be integrated in the RESIST research team to support the realization of the project objectives including the following tasks: • The identification of components to support automationof AI-based services and dataset generation in the overall project architecture, • Support the development and integration of the automation solutions which is the main topic of a PhD student working in this project, • Actively participate to the research work regarding automated dataset generation and the development of related tools. The automated generation will be based on initial datasets to be augmented using AI techniques, • Integration and validation of our developed tools in project use cases • Participate to standardization activities by presenting our work in different fora • Project management: the engineer will be fully involved in the project management duties including writing, reviewing and editing of deliverables of the project; participating to the project meetings, including physical meetings being held in different countries of Europe and review meetings; management of tasks and a workpackage involving multiple partners.

Skills

• Required qualification: Diplôme d'ingénieur, Master degree in Computer Science or Computer engineering • Required knowledge: networking, network security • Languages: Shell, python and others are appreciated • Software developement: continuous integration and collaborative development using gitlab, knowledge in virtualisation technologies (Docker, Kubernetes) • Knowledge in machine learning and data mining • Fluent in engish (writing and oral communication) • Comfortable with leading meetings, webconferences, project management

Benefits package

Subsidized meals

Partial reimbursement of public transport costs

Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)

Possibility of teleworking (after 6 months of employment) and flexible organization of working hours

Professional equipment available (videoconferencing, loan of computer equipment, etc.)

Social, cultural and sports events and activities

Access to vocational training

Social security coverage

Remuneration

Gross salary : from 2 562 euros before deduction of tax incomes depending on laboral experiences and degrees.

General Information

Theme/Domain : Networks and Telecommunications System & Networks (BAP E)

Town/city : Villers lès Nancy

Inria Center : CRI Nancy - Grand Est

Starting date : 2022-07-01

Duration of contract : 1 year, 4 months

Deadline to apply : 2022-06-02

Contacts

Inria Team : RESIST

Recruiter : François Jerome / jerome.francois@inria.fr

The keys to success

Applications are to be sent as soon as possible.

Starting date: July 2022 or later

Renewable contract

How to apply:

Upload your file on jobs.inria.fr in a single pdf or zip file, and send it as well by email to jerome.francois@inria.fr and abdelkader.lahmadi@loria.fr. Your file should contain the following documents: • Your CV. • A cover/motivation letter describing your interest • Your degree certificates and transcripts for Bachelor and Master (or the last 5 years).

In addition, one recommendation letter from the person who supervises(d) your work should be sent directly by his/her author to jerome.francois@inria.fr and abdelkader.lahmadi@loria.fr

About Inria

Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.

Instruction to apply

Defence Security : This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.

Recruitment Policy : As part of its diversity policy, all Inria positions are accessible to people with disabilities.

Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.