University of Nantes

Post-doc

Postdoc - Phytoplankton blooms diversity and dynamics in coastal waters

마감2025.05.20~2025.06.20

채용 정보

  • 접수 기간

    2025.05.20 00:00~2025.06.20 18:00

  • 접수 방법

    이메일지원더보기

  • 채용 구분

    경력

  • 고용 형태

    계약직

  • 지원 자격

    박사

  • 모집 전공

    생명과학, 생물학, 동물・수의학, 축산학, 작물・원예학, 식품가공학, 농업학, 수산학, 산림・원예학, 농림수산환경생태학, 농림수산바이오시스템공학, 생명공학, 한약학, 약학, 통계학, 수학, 물리・과학, 지구・지리학, 인류학, 사회학, 도시・지역학, 국제학, 경제학, 경영정보학, 제어계측공학, 정보・통신공학, 전자공학, 전산학・컴퓨터공학, 전기공학, 의공학, 응용소프트웨어공학, 광학공학더보기

  • 기관 유형

    대학교

  • 근무 지역

    해외(프랑스)더보기

The post-doctoral researcher will carry out scientific and technical tasks in accordance with the project “Land-Sea interface: Let’s observe together!” (LandSeaLot), focusing on advancing the understanding of phytoplankton dynamics, in particular of Harmful Algal Blooms (HABs) and red tide events (i.e. seawater discoloration associated with phytoplankton blooms) in coastal waters off the Seine Estuary (France).

She/he will contribute to:

  • Support the development of a comprehensive, integrated database combining long-term data from in situ measurements (microscopic identification of phytoplankton species and cell counts, pigment concentration, as well as high-frequency chlorophyll-a concentration derived from chlorophyll-a fluorescence) and satellite-derived observations (e.g., remote-sensing reflectance, optical water types and optical bloom types, concentration of chlorophyll-a and suspended particulate matter);
  • Investigate the spatio-temporal dynamics of dominant phytoplankton taxons to enhance the monitoring and understanding of HABs and red tide events;
  • Develop and apply statistical methods such as dynamic linear models (DLM), generalized additive models (GAM), or ecological trajectory analysis (ETA) to study phytoplankton temporal variability using time series of satellite images, as well as advanced classification methodologies to map bloom-causing phytoplankton groups and/or phenoregions;
  • Validate satellite-derived products (chlorophyll-a concentration and optical bloom type) using available field observations;
  • Occasionally participate to the acquisition of field data, including seawater sampling for phytoplankton identification and measurements of optical properties (above-water reflectance and particulate absorption);
  • Contribute to the post-sampling processing of field data;
  • Conduct multidisciplinary scientific analyses that integrate diverse datasets and fields of knowledge (from marine ecology to ocean colour remote sensing), improving the understanding of phytoplankton bloom dynamics and diversity in river-dominated ocean margin system (namely the bay area influenced by freshwater inputs from the Seine river, in Normandy, France);
  • Maintain interactive communication and collaboration with colleagues at Nantes University as well as with other project’s participants (in particular the research teams of Tania HERNANDEZ at Ifremer and Pascal CLAQUIN University of Caen), providing feedback, and participating in interdisciplinary discussions to ensure successful project execution. Prepare reports on scientific activities every six months and a final project report, ensuring clear documentation of progress, achievements, and challenges;
  • Publish and disseminate research results in international peer-reviewed journals and presenting findings at relevant conferences and workshops

Skills/Qualifications

A doctoral diploma in environmental sciences, marine ecology, oceanography, remote sensing or related field ;   Extensive knowledge and experience in the collection, integration, and analysis of large geospatial and/or environmental datasets; Expertise in optical remote sensing, including experience in the use of in situ data and integration with satellite-derived datasets; Strong proficiency with numerical computing languages (e.g., R, Python, IDL, MATLAB, or similar tools) for data analysis and modelling; Solid record of research activities including publications in international peer-reviewed journals; Good oral and written communication skills in English (B2).

Specific Requirements

Previous experience in field work or laboratory environment, particularly in the collection of bio-optical properties; Expertise in ocean colour remote sensing; Familiarity with advanced statistical methods of time series analysis and classification; Knowledge of marine biology (particularly phytoplankton communities); Ability to work collaboratively within interdisciplinary teams.


Benefits
  • An unprecedented model in France combining a university, a university hospital (CHU de Nantes), a technological research institute (IRT Jules Verne), a national research organization (Inserm) and the Grandes Écoles (Centrale Nantes, École des Beaux-arts Nantes Saint-Nazaire, Ecole Nationale Supérieure d'Architecture de Nantes)
  • Commitment to professional equality, diversity and inclusion and addressing gender-based and sexual violence
  • Membership in the EUniWell European Alliance committed to wellness
  • Certified HR Excellence in Research since 2022 as part of the HRS4R strategy
  • Transport subscription up to 75 % supported
  • Sustainable mobility package, in line with the institution’s commitment to sustainable development
  • Access to university restaurants with a preferential rate
  • Access to sports, university libraries and other activities on campus

Eligibility criteria

PhD

CV with cover letter and recommendations letter

근무 예정지

대표해외(프랑스) : France, ISOMer (UR 2160), Nantes, 44300, 2 chemin de la houssiniere

기관 정보

University of Nantes

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  • 기관유형

    대학교(해외)

  • 대표전화

    +33 2 51 86 39 51

  • 대표주소

    Rue Stéphane Leduc, 44300 Nantes

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관련 키워드

Environmental scienceEcologyGlobal changeBiological sciencesBiodiversityMathematics