Post-Doctoral Research Visit F/M EV Mobility-Driven Planning and Operation of Electrical Distribution Grids

Post-Doctoral Research Visit F/M EV Mobility-Driven Planning and Operation of Electrical Distribution Grids Download job offer in PDF format Contract type : Fixed-term contract Level of qualifications required : PhD or equivalent Fonction : Post-Doctoral Research Visit About the research centre or Inria department The Centre Inria de l’Université de Grenoble groups together almost 450 people in 26 research teams and 9 research support departments. Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (Université Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area. The Centre Inria de l’Université Grenoble Alpes is active in the fields of high-performance computing, verification and embedded systems, modeling of the environment at multiple levels, and data science and artificial intelligence. The center is a top-level scientific institute with an extensive network of international collaborations in Europe and the rest of the world. Context This project is conducted within the framework of a maturation program supporting the transfer of research outcomes toward innovation and real-world deployment. The rapid deployment of electric vehicles (EVs) is creating new challenges for electrical distribution grids. Although predictive EV mobility models can accurately forecast vehicle movements and charging demand, they are rarely exploited for grid planning and operation. As a result, distribution system operators often rely on conservative assumptions regarding charging simultaneity and peak demand, leading to unnecessary infrastructure reinforcement and underutilization of network flexibility. This project aims to bridge this gap by coupling predictive EV mobility with electrical distribution network models to develop new methodologies for congestion assessment, infrastructure planning, decentralized charging and resilient grid operation. More broadly, it will contribute to the development of coupled mobility–energy digital twins for the integrated planning and operation of future urban mobility and electrical distribution systems. Assignment This project aims to investigate how predictive EV mobility forecasts can improve the planning and operation of electrical distribution grids. Building upon the eMob-Twin platform (https://emob-twin.fr/), recent advances in open-source electrical distribution network modelling, and realistic charging demand forecasts, the project will develop an integrated modelling framework coupling urban mobility and electrical distribution networks. The resulting framework will enable the prediction of network loading, electrical congestion and charging demand at both spatial and temporal scales, providing the basis for new grid-aware planning and operational strategies. Particular emphasis will be placed on decentralized charging policies, demand shifting and flexibility services capable of mitigating congestion while maximizing the utilization of existing grid infrastructure. Main activities The proposed research will integrate predictive EV mobility models developed within eMob-Twin with realistic low- and medium-voltage electrical distribution network models generated from open geographic data and simulated using established open-source power system platforms (e.g., OpenDSS and pandapower). Publicly available benchmark and synthetic distribution networks (e.g., SimBench and IEEE test feeders) will be used to develop and validate the proposed methodologies before their application to industrial case studies. These coupled mobility-energy models will be used to analyze the impact of large-scale EV integration on distribution grids and to develop predictive methodologies for infrastructure planning, congestion assessment and decentralized charging strategies. The developed methods will be validated on realistic urban scenarios and integrated into the eMob-Twin platform to evaluate their operational benefits for future distribution system operators. Skills • Generate and integrate realistic electrical distribution network models using publicly available geographic information, benchmark feeders and open-source simulation platforms within the eMob-Twin framework • Characterize the impact of large-scale EV integration on transformer loading, feeder loading, voltage profiles and electrical congestion. • Develop predictive methodologies for distribution grid planning, congestion assessment and hosting-capacity analysis. • Design decentralized charging and demand-shifting strategies exploiting predictive EV mobility forecasts. • Validate the proposed methodologies using synthetic and benchmark distribution grids and, where available, industrial DSO case studies. • Assess the benefits for distribution grid planning, operational resilience and flexibility services. Benefits package Subsidized meals Partially reimbursed public transportation Vacation: 7 weeks of annual leave + 10 days of RTT (based on full-time employment) + possibility of special leave (e.g., sick children, moving) Option to work remotely and flexible work schedules Work equipment available (videoconferencing, loan of IT equipment, etc.) Social, cultural, and sports benefits (Inria Social Welfare Association) Access to professional training Social security Remuneration 2700€ Gross salary Apply for this position Share • Facebook • Linkedin • Twitter • Email General Information • Theme/Domain : Earth, Environmental and Energy Sciences • Town/city : Montbonnot • Inria Center : Centre Inria de l'Université Grenoble Alpes • Starting date : 2026-10-01 • Duration of contract : 12 months • Deadline to apply : 2026-09-15 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. 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. Contacts • Inria Team : DANCE • Recruiter : Canudas-de-wit Carlos / carlos.canudas-de-wit@inria.fr About Inria Inria, the French national institute for research in digital science and technology, supports the French government in national research and innovation strategies in the digital field, acting as Digital Programs Agency. Inria leads over 300 research and innovation projects with its 3,500 scientists, engineers, and support staff, in partnership with universities and the digital ecosystem (businesses, entrepreneurs, and public stakeholders). Together, we explore strategic fields such as artificial intelligence, cybersecurity, quantum computing, cloud technologies, digital transformation in healthcare, digital twins, and digital technologies for defence. We develop practical solutions such as software, tech startups, partnerships with national companies, and cutting-edge training programmes. Our goal is to drive scientific, technological, and industrial excellence to ensure France’s digital sovereignty.