Research scientist in development of automatic biofouling image analysis (W/M)

  • Reference : FEM-SAS-2021-003
  • Position type: Fixed-term contract
  • Duration: 12 month
  • Localisation: Nantes (44) - Université de Nantes, Brest (29) - France Energies Marines
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Job Description

This position is open within the ABIOP+ project, which is dedicated to fill knowledge gaps regarding the biofouling process on floating offshore wind turbines and its potential effects on specific components. In particular, methodological approaches to characterise biofouling in this context will be developed where image surveys and analyses offer a promising path to achieve these objectives.

The successful candidate will work both at the University of Nantes in the Institute for research in civil engineering and mechanics (GeM, UMR CNRS 6183) and at France Energies Marines. Both institutes work together on the main objectives of studying biocolonisation in a floating offshore wind turbines context in order to develop tools and methodologies allowing an improved characterisation of its effects.


In this context, the successful candidate will:

  • Assimilate and compare different image analysis algorithms (most notably based on deep learning and on texture analysis) in order to benchmark the different methods;
  • Measure the detection capacity of the algorithms by testing them within virtual settings following the protocol developed by UN and collaborators;
  • Use algorithms that enable the automatic recognition of species that compose biofouling to measure two important variables (coverage and roughness) of an image data basis built from work in the ABIOP+ project;
  • Work in close partnership with the hydrodynamicists of the team in order to identify the relevant level of accuracy needed on measured geometrical parameters according to the hydrodynamic influence.

The final objective is to enhance the measure of crucial biofouling variables based on image analysis, especially the roughness of the bio-colonization, within different environments (e.g. variable lightness, turbidity). To address this program, the candidate will have access to an in situ image base. Also, the candidate will work within the ABIOP+ project multidisciplinary consortium which will provide complementary expertise in probabilistic modelling, fluid-structure interactions, benthic ecology, marine biology, material characterization, biocorrosion and the development of anti-fouling coatings. The consortium also includes offshore renewable energies developers and operators.

Required Skills

Initial training and work experience

  • Engineer diploma or PhD in Computer Science, Numerical ecology, Mathematics (applied to biology)
  • First experience in one of the areas listed below

Specific knowledge

Investigation of image analysis algorithms

Knowledge of offshore renewable energies systems

Professional qualities

  • Report writing and publications in scientific journals
  • Strict scientific rigor and critical analysis
  • Good communication skills in both French and English (oral, written)
  • Scientific curiosity, real taste for research activities
  • Autonomy, organisation and willingness to make proposals
  • Ability to work in a team in a multidisciplinary spirit

Job : Research scientist in development of automatic biofouling image analysis (W/M)

Reference : FEM-SAS-2021-003

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