Post-Doctoral or Engineer position in processing of heterogeneous submarine geospatial data - 12 month contract

Job description

IMT Atlantique

1. Context

Présentation of IMT Atlantique :

IMT Atlantique, internationally recognized for the quality of its research, is a leading general engineering school under the authority of the Ministry of Industry and Digital Technologies, ranked in the 3 main international rankings (THE, SHANGAI, QS). With three campuses in Brest, Nantes and Rennes, IMT Atlantique aims to combine digital technology and energy to transform society and industry through training, research and innovation.

Job environment :

The teaching and research Département Image et Traitement de l’Information is located on the Brest campus and covers several research areas. Among them is the knowledge of the marine environment, which is a major challenge of the 21st century, to meet the issues of the maritime industry economy, the coastal development and protection, along with fundamental aspects of security and safety of the territory.

The global observation of the maritime environment is based on the acquisition of data on a large time scale or in real time, by remote sensors. These data, representing a considerable volume, are visualized in the form of 2D/3D signals (spatial information) with a complementary component of temporal evolution (4D) and require the development of suitable processing methods to extract the relevant information.

Used sensors are active (such as radars, lidars or sonars) and their interactions with the environment modify the perception of it, or passive to collect additional information.

This position is open within the framework of the project Fusion and comparison of multi-sensor bathymetric data, financed by the Shom (hydrographic and oceanographic service of the Navy). The mission of the Shom is to know and describe the physical marine environment according to its relations with the atmosphere, the seabed and the coastal areas, to forecast its evolution and to ensure the dissemination of the corresponding information.

The Shom generates bathymetric products that are considered to be a very good representation of bathymetric knowledge adapted to particular applications and identified needs. Selection of the data that compose these products is currently done by means of expert rules, based essentially on characteristic metadata of a batch (unit of bathymetric information with the same hydrographic characteristics). Following this selection of data sources, a spatial interpolation process is applied to merge and provide an estimate of the bathymetry at any point in the model, for cartographic products or for digital terrain models.

The current approach does not include the multi-scale coherence (or lack thereof) of point clouds. Moreover, the increasing data volumes generated by new sensors imply a refinement of the methodology and tools in terms of both automatization and a more efficient decision support. We are looking for indicators/tools that allow a probe-based analysis, hybridizing the global qualitative approach (expert rules) with the local geostatistical approach.

2. Objective

The proposed work consists of several stages:

  • Create an API (application programming interface) providing methods to analyze bathymetric information.
    • Program methods to produce bathymetric information, taking into account quality criteria. Once the new information is extracted, it must be integrated to the existing information. Consequently, it will be necessary to include also a processing methodology to decide the preservation or invalidation of the newly extracted information. It will also be necessary to consider the presentation of the results to the users, considering the sources and information reliability as well.
  • Integrate to the API one estimation or one interpolation of an uncertainty measure
    • Depending on requested information, the implemented method(s) can be adapted to the global characteristics (found in the metadata) and/or to the local characteristics. The proposed methodology will recommend an answer according to a given selected parameterization.
  • Performance analysis
    • Study the problems related to large data volumes and explore the possible methods to cope with it (big data or GPU).
  • Write technical reports and make oral presentations.
  • Write an international journal article in English.

Job requirements

3. Training and skills


  • PhD obtained after February 2020 in Computer Science and Information Processing, or an engineering degree or equivalent in these two fields with two years of experience.

Knowledge & Skills

  • Thorough knowledge of programming (definition and structure of an API).
  • Experience with the Python, C, and C++ programming languages.
  • Knowledge of collaborative software development.
  • Knowledge of non-supervised machine learning.
  • English level compatible with the requested work.
  • Write scientific articles in English.
  • Ability to communicate and disseminate scientific results.
  • Knowledge of processing heterogeneous underwater geo-spatial data would be a plus.
  • Rigor, Autonomy, Teamwork, Ability to listen and cooperate, Preparation and participation in follow-up meetings


  • 49 days of annual leave and time off
  • Partial telecommuting possible
  • Public transport paid for
  • Sustainable mobility package (for carpooling or cycling)
  • Family supplement
  • Wide range of social benefits

Additional information and application

  • Application deadline : November the 28th, 2022
  • Start of contract : 01/02/2023
  • Type of contract : Fixed-term contract under public law
  • Duration of the contract : 12 months
  • Geographic location : IMT Atlantique - 655 Av. du Technopôle, 29280 Plouzané
  • Project : Fusion and comparison of multi-sensor bathymetric data
  • The positions offered for recruitment are open to all with, upon request, accommodations for candidates with disabilities
  • Hierarchical Category: Category II trade P of the LMI management cadre
  • For more information, please contact: Laurent Lecornu,

Application documents

  • Resume
  • Cover letter
  • A recommendation letter will be a plus
  • A personnel Github will be a plus