Arctic Marine Ecologist: eDNA & Coastal Monitoring

Marin økologi

Denmark

On-site

DKK 450,000 - 600,000

Full time

2 days ago
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Job summary

A four-year researcher position at Aarhus University focuses on biodiversity and coastal ecosystems along Greenland’s coast, with emphasis on eDNA methods for marine macroalgae. The role involves field campaigns, data analysis, and development of monitoring tools as part of international projects.

Applicants should hold a PhD in biology and have experience in Arctic marine ecology, eDNA metabarcoding, and biostatistics. Fluency in English and collaboration in diverse teams are required.

Qualifications

  • PhD in biology or a closely related field.
  • Documented experience with Arctic marine vegetation and ecosystem ecology is an advantage.
  • Expertise in eDNA-based approaches, including metabarcoding and dPCR.
  • Experience with DNA barcoding and marine fieldwork is advantageous.
  • Ability to develop research ideas and contribute to grant applications.
  • Fluency in English with ability to work in an interdisciplinary international environment.

Responsibilities

  • Participate in annual field campaigns in Greenland and analyze monitoring data.
  • Develop and apply eDNA methods for characterising marine biodiversity, focusing on macroalgae.
  • Establish biodiversity baselines and detect changes in species distributions.
  • Contribute to research proposals and grant applications.
  • Collaborate across international teams and publish results.

Education

PhD in biology or closely related field

Tools

Lab PCR techniques
Bioinformatics tools

Job description

A four-year researcher position at Aarhus University focuses on biodiversity and coastal ecosystems along Greenland’s coast, with emphasis on eDNA methods for marine macroalgae. The role involves field campaigns, data analysis, and development of monitoring tools as part of international projects.

Applicants should hold a PhD in biology and have experience in Arctic marine ecology, eDNA metabarcoding, and biostatistics. Fluency in English and collaboration in diverse teams are required.

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