Post-Doctoral Research Visit F/M Analysis of mobile network traffic in atypical situations

Inria, the French national research institute for the digital sciences

Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 27 Nov 2026 - 00:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Offer Starting Date 1 Mar 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026-10657 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

A post-doctoral fellowship is available in the Inria Agora team in the Lyon center. The post-doctoral fellow will collaborate with Dr. Razvan Stanica (http://perso.citi.insa-lyon.fr/rstanica/) from the Inria Agora team and with a multidisciplinary team of researchers in computer science, transportation, and geography. This position is funded in the context of the National French PEPR projects on "Natural Risks" and "Mobility Digitalization".

Inria Agora is a joint team with INSA Lyon, one of the most prestigious engineering schools in France. Teaching involvement and student supervision are possible (but not mandatory) at INSA Lyon.

The recruited person will conduct research on the topic of mobile data analysis. This is data collected by mobile network operators, covering large areas and populations, with numerous possible application, such as energy-efficient network resource allocation (e.g., 5G/6G), epidemic propagation, transportartion system design, user recommendation systems, urban planning in smart cities, or ride-sharing.

The researcher will work on uniquely-rich datasets collected by French mobile operators, with a focus on atypical situations, such as holidays, harsh weather conditions, natural disasters, major social and cultural events. The objective is to understand the behaviour of mobile network users, in terms of mobility and service demand, during such atypical events, find spatio-temporal patterns and compare this with the behaviour observed in normal conditions.

• Propose new analytical tools and research questions exploiting the mobile phone data. We dispose of uniquely rich datasets, rarely available to the academic community. The recruited person will have a lot of autonomy in exploring new ideas building on these datasets.
• Extraction of repetitive patterns from mobile telephony data collected by operators, in order to construct typical user and network behaviour. This behaviour will be used as baseline for comparison with the user behaviour during atypical situations.
• Spatio-temporal characterization of different types of atypical situations recorded in the data. A special attention will be given to extreme weather events, especially flooding events recorded in the south of France.
• Advise undergraduate and Master students for research-related projects.

The candidates should have a master or PhD degree on network and/or data-related topics. Experience with data analysis in Python or R is expected.

Good personal and project management skills are required to function in this multi-disciplinary multi-team project.

Working language is English.

Specific Requirements

The ideal candidate has research experience with mobile phone data analysis.

Two other profiles are strongly encouraged to apply:

• Candidates who have a background in data science and are interested in applying their knowledge to the wireless networks field;
• Candidates who already have an excellent understanding of 5G networks and are willing to develop data analytics skills.

This position requires the willingness to work closely with scientists from other fields, such as transportation or geography.

Languages FRENCH Level Basic

Languages ENGLISH Level Good

Additional Information

• 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

Selection process

Applications must be submitted online via the Inria website. Processing of applications submitted via other channels is not guaranteed.

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