The successful candidate will contribute to the use of information from advanced sensors attached to robotic platforms operating in space, air, sea surface, and/or underwater for the study of marine phytoplankton. Therefore, candidates with expertise in the development of in situ sensors for use over different time and space scales, statistical methods, machine learning approaches, and big data handling, especially as they relate to primary production, functional groups, and ocean health state assessments are encouraged to apply.

Required qualifications include:

  • A PhD, or academic work, in marine phytoplankton ecology, biological oceanography, or related fields;
  • A minimum of two years of relevant research experience in addition to the PhD;
  • Research experience related to phytoplankton ecology with focus on physical coupling (environmental variables), biomass, biodiversity, primary production, traits, functions, and health state using in-situ observations; and
  • A strong scientific track record as evidenced by publications in peer-reviewed journals.

The application must be submitted online and include a cover letter, curriculum vitae, teaching portfolio, relevant academic works and a full publication list, research plan, and names and contact information for three relevant referees.

Application deadline: 15 March 2024

For more information and to apply, go to:
Full position description

For questions, contact:
Kjetil Rasmussen