Tools for collection, context inference, trajectory reconstruction and contact inference - Inria : Job Details

Tools for Collection, Context Inference, Trajectory Reconstruction and Contact Inference

Level of Qualifications Required: Graduate degree or equivalent

Other Valued Qualifications: Master or PhD

Function: Temporary Scientific Engineer

Level of Experience: From 3 to 5 years

About the Research Centre or Inria Department

The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris since 2021.

The centre has 39 project teams, 27 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris. Its activities occupy over 600 scientists and research and innovation support staff, including 54 different nationalities.

Context

A research-engineer position is available in the Inria TRiBE team in the Saclay Center in collaboration with the FUN team of Inria Lille. This position is funded by the project Mob Sci-Data Factory of the National French PEPR project MOBIDEC.

The research-engineer fellow will collaborate with Dr. Nathalie Mitton, Dr. Aline C. Viana, and Dr. Nadjib Achir from the respective Inria teams. If needed, travels to Lille are foreseen for this post.

Assignment

The research community faces a crucial lack of meaningful user mobility data today. Available data are generally very focused on a single kind of mobility (e.g., road traffic) or are sparse. Most of the existing datasets, such as Call Detail Records (CDR) logged by cellular operators, Access Point measurements logged by the Internet provider, or check-ins collected by popular Location-Based Online Social Networks (LBOSN), have limited accuracy in both spatial and temporal dimensions, which induces incomplete trajectories and consequently, missing interactions among end-users.

This position aims to provide the community with tools to collect or generate new kinds of heterogeneous data and the means to publish and populate the datasets to be made available for the research community. The FUN and TRiBE teams have already designed and proposed different tools, such as network traffic dataset generators and tools to collect network traffic intrusively and privacy-compliantly.

Main Activities

• Inventory all the tools for collecting and analyzing traces offered by the two teams, FUN and TRiBE.
• Organize the tools to make them accessible for partners and open source for the community.
• Improve (when necessary), validate, and use these tools through measurement campaigns to capture device mobility, collect related wireless environment conditions, and ensure privacy compliance.
• Present work progress to partners of the project and related community.
• Tools documentation, publishing, and reporting.

Skills

• A PhD or Master's in wireless networks, mobile networks, or data-related topics.
• A solid understanding of networking principles, protocols, and architectures is essential.
• The ability to write and debug code in Python is an essential requirement.
• Proficiency in programming languages commonly used in AI and networking research.
• Experience with relevant libraries and frameworks is also valuable.
• Ability to design and implement algorithms for solving complex problems.
• Excellent written and verbal communication skills for presenting research findings, writing academic papers, and collaborating with peers.
• Ability to work effectively as part of a research team.
• This multi-disciplinary, multi-team project requires good personal and project management skills.

Benefits Package

• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT + possibility of exceptional leave.
• Possibility of teleworking and flexible organization of working hours.
• Professional equipment available.
• Social, cultural and sports events and activities.

Instruction to Apply

Defence Security: This position is likely to be situated in a restricted area (ZRR). Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision.

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

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