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Permanent Researcher in Artificial Intelligence for the new forms of mobility

Context

Gustave Eiffel University is a key player in European research on the city and the territories, transportation, and civil engineering. Create on January 1st, 2021, Univ-Eiffel is the merger of the French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR) and the University of Paris-Est Marne-la-Vallée. It is a public institution of a scientific, cultural and professional nature, with experimental nature and national location. Gustave Eiffel University conducts research and expertise in many fields (mathematics et computer science, electronics, materials, chemistry, civil engineering, geosciences, social sciences, psychology, economy, management, innovation sciences, communication, ethics, history, arts, literature, etc.) and in areas of high societal impact such as transportation, infrastructures, natural risks and urban planning to improve living conditions of our citizens and more broadly to promote the sustainable development of our societies.

The department AME (Planning, Mobilities and Environment) is specialized in human and freight transport, considered in their interrelationships with the built environments and socio-technical systems on which they rely, and with the natural environment and the planning of urban and non-urban territories. The department addresses the diverse forms of mobility, the associated practices and policies, and the surrounding environments. AME covers diverse topics: human and social sciences, engineering sciences, environmental sciences. Its research is based on both quantitative and qualitative approaches. The AME scientific project comprises three main axes: stakeholder systems (institutions, industrialists, operators, users); eco-systems (biodiversity, air, water); technical systems (infrastructures, vehicles, information systems).

The GEOLOC laboratory is part of AME. It develops positioning and navigation methods and systems to improve the mobility of people and goods through smart, low environmental impact and integrated transport. This evolution requires considering the diversification of the forms of mobility, the digital transitions, the connected traveler, and the creation of new mobility services. To better improve and connect positioning methods with the use cases needs, it is necessary to collect, process, analyze and interpret the measurements recorded in large quantities by the city's inhabitants wearables using artificial intelligence (AI) methods. This approach, which is now mature for image processing, is not yet mature for the processing of time series of physical data. This challenge is at the heart of GEOLOC's research to build more precise models, which are better suited to individual needs. The targeted research application is multidisciplinary: transport, health, optimization of logistics, sharing of urban space, reduction of the carbon footprint, guidance of vulnerable people. GEOLOC also participates in the scientific animation on the exploitation of digital mobility data for the federating project "mobilities and digital transitions", for the European Union agency for the space program (EUSpa) with the development of Android positioning applications using Galileo signals and for the European standardization and normalization bodies on localization performances. To meet these challenges, GEOLOC supports its research, development, and expertise activities with hardware developed in the laboratory. ULISS and PERSY are supporting research on the localization of travellers. The VERT is an instrumented vehicle dedicated to ITS (Intelligent Transport Systems) research. The invention of new positioning and navigation algorithms as well as the definition of novel methods to evaluate localization performance combine theoretical and experimental approaches.

Job description

The candidate's research project will focus on artificial intelligence methods exploiting physical, spatial, and temporal navigation data to support the development of new forms of mobility. The research project should consider the European policy dedicated to the performance evaluation of positioning technologies using Galileo signals on smartphones and the quality of digital tracks. The project should integrate the mobility services dimension into the development of learning methods. The research can address any or a combination of the following areas:

  • Interpretability of AI models
  • Design of models robust to variations (environmental, material, mobility profiles)
  • Adaptation of AI models to real-time constraints
  • Automation of learning on augmented databases
  • Methodology for building optimized databases
  • Participation in the development of data management plans for AI.

The candidate will reinforce the team of researchers in the GEOLOC laboratory and will participate in the supervision of the laboratory's research projects, in collaboration with researchers from AME working on mobility. His/her skills will also support teaching activities on dynamic positioning learning methods, within the Gustave Eiffel University and in partnership with local actors. He/she will contribute to the development of Android apps to collect general public data for educational and research purposes. The researcher will develop new skills around learning methods, both conceptually and technically, and will ensure their dissemination through scientific animation within the AME department. In particular, he/she will contribute to the implementation of shared data management plans.

The person recruited as a Research is expected to be active in production, supervision, research promotion, and participation in the development of research programs at different levels (regional, national, European, international). In particular, the candidate must publish her/his work in international peer-reviewed journals that meet the standards of her/his discipline, as well as in journals or books that are more specific to the laboratory's fields. The applicant shall communicate the work to peers, but also the general public. She or he may also be required to carry out expertise tasks. He/she will also participate in the collective scientific life of the laboratory, the department, and the institute.

In addition to his or her research production activity, the Researcher is also expected to develop, in the long run, a diversified activity on all or part of the following activities       

  • Teaching and research training (teaching, supervision of trainees, doctoral and post-doctoral students, participation as a member on the jury, and teaching-related bodies or committees)
  • Research administration and facilitation activities (team leadership, project coordination, personnel management, management of testing facilities)
  • Outreach and transfer activities (research and industrial contracts, expertise and consultancy activities, transfer of research results to the socio-economic world, contribution to public policy development, dissemination of scientific culture)
  • International activities (participation in European projects, subsequent international collaborations, contributions to the international visibility of the Institute)
  • Scientific outreach (membership of learned societies, editorial boards, scientific committees of institutes, symposia, specialist commissions).

Expected profile

The candidate must hold a PhD degree in signal/image processing, applied mathematics, or computer science, or be able to justify an equivalent level, in particular for foreign candidates (publications, participation in projects, teaching).

For this position, specialization in Artificial Intelligence (or statistical learning methods) and experience in its application to one or more of the following domains is required: Geomatics, Navigation, Mobility.

The candidate's file should highlight his/her ability to develop the activities (listed above) expected for a Research. Scientific publications of the highest level (international peer-reviewed journals and/or international conferences), participation in research projects (national and/or European), an appetite for teamwork and scientific leadership, interpersonal skills and oral and written communication skills in French and English, experience abroad or the ability to mobilize a national and international network will be particularly appreciated. Scientific rigour, autonomy, and organizational skills are also expected.

The person recruited will be assigned to the GEOLOC Laboratory, within the AME department, on the Gustave Eiffel University (Nantes campus in Bouguenais – department 44).

Recommendation

Applicants are expected to propose a scientific project in connection with the host laboratory in their application and are therefore strongly advised to contact the persons indicated.

ContractPermanent Researcher
WhereGEOLOC Laboratory, Université Gustave Eiffel, Nantes, France
Application deadlines 
  • Opening date for the application: February 14, 2022
  • Application deadline: March 18, 2022
  • Selection based on the submitted scientific application files: April 21, 2022
  • Audition: May 30 to June 3, 2022
 
ContactValérie RENAUDIN, valerie.renaudin@univ-eiffel.fr, tel : 06 19 71 22 12
Application process

The appication is described and performed online at https://www.concours.developpement-durable.gouv.fr/charge-e-de-recherche-du-developpement-durable-de-a126.html.

A French and English explanation about the application process can be downloaded at https://www.concours.developpement-durable.gouv.fr/IMG/pdf/charges-recherche-vgv-2.pdf

You must register online by clicking on the link "Télé-inscriptions" in the table for the CR06 position and submit your file before March 18th noon.