Postdoc: ML for Moss Carder Bee Recovery

University of Cambridge; Cambridge; On-site; GBP 42,000 - 48,000; Full time

Job summary

The University of Cambridge invites applications for a Moss carder bee recovery post-doctoral researcher to lead a 12-month project bridging machine learning for species identification and real-world conservation. You will work with the Bumblebee Conservation Trust, coordinate field surveys, and contribute to policy-relevant biodiversity outcomes.

Reporting to Professor Mark Brown, you will develop a visual recognition tool, engage volunteers, and support training of junior researchers while

Responsibilities

• Lead a 12-month project bridging machine learning for species identification with practical insect conservation.
• Coordinate fieldwork and lab work, guiding scientists and volunteers from the Bumblebee Conservation Trust.
• Develop, evaluate and implement a visual recognition tool for Moss carder bee (Bombus muscorum).
• Support training and supervision of undergraduate and postgraduate students and contribute to project management and public engagement.

Job description

The University of Cambridge invites applications for a Moss carder bee recovery post-doctoral researcher to lead a 12-month project bridging machine learning for species identification and real-world conservation. You will work with the Bumblebee Conservation Trust, coordinate field surveys, and contribute to policy-relevant biodiversity outcomes.

Reporting to Professor Mark Brown, you will develop a visual recognition tool, engage volunteers, and support training of junior researchers while