PhD Fellow: Environmental Genomics & Pollinator Ecology

Technical Sciences - Institut for Ecoscience; Roskilde; On-site; DKK 400,000 - 480,000; Full time

Job summary

Technical Sciences - Institut for Ecoscience at Aarhus University invites applications for a PhD fellowship in Environmental Genomics and Pollinator Ecology. The project explores how freshwater ecosystems influence pollinator health using eDNA, metabarcoding, high-throughput sequencing, bioinformatics and AI-assisted monitoring.

The successful candidate will join a cross-disciplinary team at the interface of molecular ecology, pollinator ecology and freshwater science, with opportunities for

Qualifications

• Master's degree in ecology, biology, environmental science, bioinformatics, genomics, conservation biology or related field.
• Experience with molecular methods such as DNA extraction, PCR, metabarcoding or sequencing.
• Experience with bioinformatics, R programming, or ecological statistics.
• Interest in both field research and laboratory-based research.
• Effective communication skills in English.

Responsibilities

• Large-scale field surveys in Danish gardens, parks and freshwater habitats.
• Environmental DNA sampling from freshwater habitats and flowers.
• DNA metabarcoding of pollinator, plant and aquatic communities.
• Analysis of pollinator foraging networks.
• Development and application of AI-assisted image-based insect monitoring approaches.
• Bioinformatic analysis of sequencing data.
• Publication of research findings in international peer-reviewed journals.

Skills

Biodiversity & pollinator ecology

Molecular methods (DNA extraction, PCR

DNA metabarcoding / sequencing

Bioinformatics / R / ecological stats

Field and lab research interest

Excellent English communication

Education

Master's degree in ecology / biology / environmental science / bioinformatics / genomics / conservation biology

Job description

Technical Sciences - Institut for Ecoscience at Aarhus University invites applications for a PhD fellowship in Environmental Genomics and Pollinator Ecology. The project explores how freshwater ecosystems influence pollinator health using eDNA, metabarcoding, high-throughput sequencing, bioinformatics and AI-assisted monitoring.

The successful candidate will join a cross-disciplinary team at the interface of molecular ecology, pollinator ecology and freshwater science, with opportunities for