The COMPLEx (COMPutational PLankton Ecology) team at the Laboratory of Oceanography of Villefranche-sur-mer (LOV) seeks a postdoctoral researcher in plankton imaging and machine learning.

Main activities include

  • collect image data (UVP5, UVP6, Zooscan, FlowCam, …) from international colleagues and assist in their upload to EcoTaxa
  • program and apply data quality control algorithms (e.g. outlier detection)
  • develop and apply algorithms to evaluate the consistency of image classification across different image datasets
  • evaluate and apply published size-to-biomass conversions for plankton and particles
  • program data aggregation and transfer from EcoTaxa to PSSdb (API-based)
  • combine image and environmental data (Temp., Oxygen, Satellite data) and use multivariate regression (e.g., generalized linear mixed models, generalized additive models) and machine-learning (e.g., RandomForest, neural networks) techniques to extrapolate data onto a global grid
  • publish the results of these analyses in a scientific journal
  • participate in international conferences and workshops to present the results of the project

A PhD is required in either oceanography, marine ecology, marine biogeochemistry, or related field.

The appointment is for at least 2 years.

Application deadline: 15 September 2021. Intended start date: 1 December 2021.

For more information click here.

COMPLEx
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