MSc Research Internship: Reef Effects on Phytoplankton

MERSEA; Luc-sur-Mer; Remote; EUR 7,800 - 12,000; Full time

Job summary

MERSEA invites applications for a MSc Research Internship in 2027 at CREC, Luc-sur-Mer Marine Station, within the FORSEAS project. The role investigates reef effects of offshore wind farms on biogeochemical fluxes and primary production in the Eastern English Channel.

The successful candidate will analyse phytoplankton photobiology and primary production, using LabSTAF data and flow cytometry, with data processing in R and collaboration with Ifremer LERN and Maxime Navon.

Qualifications

• Master’s student in marine ecology, oceanography, marine biology or related field.
• Experience with R is desirable; data processing experience preferred.
• Willingness to participate in research cruises and laboratory analyses.

Responsibilities

• Participate in research cruises at sea.
• Analyse LabSTAF fluorescence measurements to assess phytoplankton physiology and photosynthesis.
• Estimate primary production from bio-optical and physiological data and validate results.
• Analyze phytoplankton community structure using Cytosens flow cytometry data.
• Investigate links between primary production, phytoplankton physiology and environmental gradients.
• Compare spatial areas and sampling periods to identify signatures from the Seine plume and offshore wind farm areas.
• Collaborate with Maxime Navon at Ifremer Port-en-Bessin on data processing and analyses.

Skills

Data analysis

R experience

Education

Master’s student in marine ecology/oceanography/marine biology

Tools

LabSTAF system

Flow cytometry (Cytosens)

Job description

MERSEA invites applications for a MSc Research Internship in 2027 at CREC, Luc-sur-Mer Marine Station, within the FORSEAS project. The role investigates reef effects of offshore wind farms on biogeochemical fluxes and primary production in the Eastern English Channel.

The successful candidate will analyse phytoplankton photobiology and primary production, using LabSTAF data and flow cytometry, with data processing in R and collaboration with Ifremer LERN and Maxime Navon.