Research Associate – Scaling up insect monitoring using computer vision (Fixed Term) Fixed-term: The funds for this post are available for up to 12 months in the first instance to start in June 2023. Can we use low-energy sensors and artificial intelligence to identify and count insects on an industrial scale? If this interests you, read on!
We are seeking an entomologist with experience of field survey techniques and insect identification, interested in working at the interface between computer science and zoology. The project is a collaboration with Nokia Bell Laboratories, Cambridge, a leading lab working in the areas of Future Devices, Mobile Sensing and Systems, Embedded Machine Learning, and Internet of Things research.
You will join a team exploring the capability of emerging automated sensing systems and AI algorithms to scale up monitoring of insect abundance, biomass or diversity. You will be part of the Agroecology Group in the Department of Zoology and collaborate closely with faculty and students in the Departments of Computer Science and Technology and Plant Sciences.
You will also be part of the Cambridge Centre for Landscape Regeneration (CLR), funded through the Natural Environment Research Council’s Changing the Environment programme. CLR aims to provide the evidence needed to the UK government to fulfil its ambitions to bring back more nature to the British countryside and deliver more ecosystem services. The programme is focusing initially on two contrasting landscapes: the East Anglian fenland (primarily used for productive agriculture) and the Scottish Highlands (traditionally used for deer stalking and forestry plantations).
The project aims to design and implement an ultra-low power ML system on energy-autonomous devices (camera, microphone, and low-fidelity sensors) for biodiversity monitoring (especially insects). The project will leverage existing energy-autonomous devices, such as Nokia Bell Labs battery-less camera prototype.
Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University. Flexible working requests will be considered.
We particularly welcome applications from women and candidates from a BME background for this vacancy as they are currently under-represented at this level in our University.
Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online. If you have any queries regarding the application process please contact Anastasia Nezhentseva. Email: firstname.lastname@example.org Telephone: (0)1223 330117
Please quote reference PF36246 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Closing date: 24 April 2023