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PhD

PhD: Towards a Reliable and Resilient Positioning System for Soft Mobility with a Green AI Approach

Contract TypePhD, 3 years full time with a start in November 2023
LocationGEOLOC Laboratory, University Gustave Eiffel, Nantes, France
Deadline31/01/2023 23:50 - Europe/Brussels
ApplicationSend all documents (cover letter, CV, diplomas, list of productions / publications, references) in a single pdf document to ni.zhu@univ-eiffel.fr

PhD: AI-based Energy-efficient Localisation on Embedded Devices with Multi-sensor Fusion

Contract TypePhD, 3 years full time with a start in November 2023
LocationGEOLOC Laboratory, University Gustave Eiffel, Nantes, France
Deadline31/01/2023 23:50 - Europe/Brussels
ApplicationSend all documents (cover letter, CV, diplomas, list of productions / publications, references) in a single pdf document to ni.zhu@univ-eiffel.fr

Engineer-PostDoc

Research engineer / Postdoc on AI-based time series analysis for embedded systems

Context

The research of the Geoloc Laboratory of the Gustave Eiffel University focuses on the development of dynamic positioning methods and systems for the traveler. It has a wide range of skills in the design and programming of algorithms for geolocation without beacons, with original testing methods. Okeenea Digital is an innovative company from the Okeenea group, which has been specializing for 26 years in the design and supply of accessibility solutions to improve mobility in handicap situations. These two organizations have joined forces in the joint laboratory inmob1 (disability mapping with inertial signal to facilitate mobility) to improve the mobility of people with disabilities.

Without depending on a dense network of beacons, the current performances of positioning technology are not sufficient to guide a visually impaired person during the whole itinerary with high safety. Our ambition is to design new approaches based on artificial intelligence (AI) to build physical models that describe the individual specificities of human gaits. To strengthen the joint laboratory team and contribute to the integration of the algorithms developed for mobility on an Android smartphone application, we are looking for a research engineer or a postdoctoral fellowship on AI-based time series analysis for embedded systems.

1https://anr.fr/Projet-ANR-20-LCV1-0002

 

Missions

The research engineer or the postdoctoral fellowship will be in charge of the AI-based pedestrian gait analysis (such as step detection) using inertial or magnetic signals with the support of the expert on AI of the GEOLOC laboratory. At the same time, he or she will work in collaboration with the Okeenea company to further implement the proposed models or algorithms in real time on the Android and iOS applications. The following tasks are included in the work packages:

  • Evaluate and improve the robustness of the AI-based step detection algorithm developed by the GEOLOC laboratory [*];
  • Implement the previous algorithm for real-time use on the Android GeolocIMU application developed by the GEOLOC algorithm (Android - Kotlin, C++);
  • Participate in the design of the scientific and technical bricks for the Android application which is under development;
  • Participate in the management and administration of the Inmob research program;
  • Participate in the follow-up work of doctoral students and interns;
  • Participate in the dissemination of knowledge in scientific reports and publications.

[*] Al Abiad, N., Kone, Y., Renaudin, V., & Robert, T. (2022). Smartstep: A Robust STEP Detection Method Based on SMARTphone Inertial Signals Driven by Gait Learning. IEEE Sensors Journal, 22(12), 12288-12297.

 

Required Skills

  • Engineering degree, Master's 2 or PhD in: Computer Science, Signal Processing, Machine Learning or any other comparable discipline.
  • Previous experience in embedded software design/development appreciated.
  • Proficiency in signal processing.
  • Knowledge of C/C++, Python, Kotlin appreciated.
  • Significant understanding of connected object technologies and how machine learning works.
  • Ability to effectively integrate research results into publications and intellectual property.
  • Creativity and openness to innovation.
  • Enthusiasm, responsibility and excellent collaboration skills.
  • Passion for producing high quality data.
  • Strong oral and written skills in English.
Contract Typ2 years full time (38h30/week) with a start date of April 1, 2023
LocationGEOLOC Laboratory, University Gustave Eiffel, Nantes, France
Deadline30/11/2022 23:50 - Europe/Brussels
ApplicationAttach all your materials (Your motivated application, CV, Diplomas, List of publications and productions) in one PDF file emailed to valerie.renaudin@univ-eiffel.fr and celine.ragoin@univ-eiffel.fr

Research engineer / Postdoc in statistics applied to the modeling of spatial processes

Context

Indoors, the use of GPS positioning is complicated or impossible. Other positioning methods rely on radio beacons or inertial and magnetic sensors whose measurements are processed to estimate the user’s coordinates at each instant knowing the initial coordinates. A difficulty with this approach is that the initial orientation of the pedestrian to the North is unknown, and cannot be derived from the inertial sensors data. A magnetometer can be used in compass mode to derive this angle. But, indoor magnetic disturbances must be mitigated to obtain good performances.

A solution consists in proposing statistical modelling of these disturbances, for example, with a Gaussian process. This idea has already been successfully explored in a heuristic way. The objective of the research is to continue this approach with more elaborate spatial statistical techniques to obtain more efficient modelling of these perturbations.  

 

Missions

  • Research and development on statistics modelling combined with dynamic positioning
  • Collect and analyze magnetic data in various locations and indoor environments
  • Develop a statistical model of the magnetic field indoors based on the state of the art in spatial statistics
  • Transfer the generative model into an algorithm (offline, then real-time) for estimating the magnetic north for indoor trajectories
  • Act as an interface between the two laboratories Geoloc and LAMA
  • Participate in the design and training on the codes produced for the developed statistical approaches
  • Participate in the development of research projects based on the research conducted
  • Participate in the dissemination of knowledge in scientific reports and publications

 

Required Skills

  • Engineering degree, Master's 2 or PhD in: Computer Science, Signal Processing, Machine Learning or any other comparable discipline.
  • Knowledge in statistics for the modeling of spatial processes
  • Proficiency in signal processing.
  • Computer and scientific tools for the study of time series of spatial signals.
  • Creativity and openness to innovation.
  • Enthusiasm, responsibility and excellent collaboration skills.
  • Passion for producing high quality data.
  • Strong oral and written skills in English.
Contract Typ12 months full time (38h30/week) with a start date of April 1, 2023
LocationGEOLOC Laboratory, University Gustave Eiffel, Nantes, France
Deadline31/01/2023 23:50 - Europe/Brussels
ApplicationAttach all your materials (Your motivated application, CV, Diplomas, List of publications and productions) in one PDF file emailed to valerie.renaudin@univ-eiffel.fr and thomas.bonis@univ-eiffel.fr

Postdoctorial fellowship on AI-based GNSS positionong algorithms for embedded systems

Context

Financed by the European Space Agency (ESA)’s Navigation Innovation and Support Program (NAVISP), the CHARLI project aims at developing a foot-mounted multisensory positioning system to track the emergency response agents in all kinds of environments. CHARLI project has two partners: Nav4you company – a start-up providing innovative location solutions for different services and the GEOLOC laboratory – a research laboratory developing multimodal positioning algorithms by sensor fusion. The GEOLOC laboratory has already developed post-processing algorithms for hand-held devices by tightly fusion Inertial Navigation System (INS) measurements and the Global Navigation Satellite System (GNSS) using the Time Differenced Carrier Phase (TDCP). The main objectives of the work packages in which the postdoctoral fellowship is involved are firstly to adapt the existing algorithm for hand-held devices to the foot-mounted one for real-time use. Then GNSS measurement quality and the position error of the system will be estimated using Artificial Intelligence (AI) techniques, which could be further applied to correct the final position estimations.  

 

Missions

The postdoctoral fellowship will work in both an academic environment with researchers in GEOLOC laboratory and an industrial environment with Nav4you to develop the positioning device. Therefore, both algorithm design and real-time implementation competences are required. He or she will be in charge of the following tasks:

  • Adaptation of the existing hand-held INS/GNSS coupling algorithm for foot-mounted device by considering the foot motion dynamics;
  • Implementation of the proposed algorithm into the embedded system developed by Nav4you for real-time use (Python or C++);  
  • Development of an AI model for residual position error estimation [*] using GNSS raw measurements and/or other existing features in the literature;
  • Participation in project management and follow-up meetings;
  • Writing scientific report and publications.

[*] https://insidegnss.com/deus-in-the-machina-machine-learning-corrections-for-improved-position-accuracy/

 

Required Skills

  • PhD degree in: Computer Science, Signal Processing, Machine Learning or any other comparable discipline.
  • Artificial Intelligence (Machine Learning, Deep Learning, Transfer learning, etc).
  • Proficiency in signal processing.
  • Knoloedge in positioning technology (especially GNSS).
  • Real-time implementation on embedded system.
  • Knowledge in computer development (Python, C++).
  • Creativity and openness to innovation.
  • Enthusiasm, excellent collaboration skills.
  • Project management.
  • English: fluent communication and scientific writing.
Contract Typ12 months full time (38h30/week) with a start date of April 1, 2023
LocationGEOLOC Laboratory, University Gustave Eiffel, Nantes, France
Deadline31/01/2023 23:50 - Europe/Brussels
ApplicationAttach all your materials (Your motivated application, CV, Diplomas, List of publications and productions) in one PDF file emailed to valerie.renaudin@univ-eiffel.fr, ni.zhu@univ-eiffel.fr and johan.perul@nav4you.fr