A Research Associate post is available in the Drosophila Connectomics Group directed by Greg Jefferis and Matthias Landgraf in the Department of Zoology at the University of Cambridge.
The applicant will work with very large volume electron-microscopy Drosophila connectomics data as part of a new £6.7M Wellcome international collaborative award with HHMI Janelia Research Campus, the MRC LMB in Cambridge and the University of Oxford. This project will produce the first synaptic-resolution connectome for a whole adult Drosophila central nervous system (brain and nerve cord).
The principal focus will be the development of open source tools for data processing and analysis of connectomics data. This will include whole brain scale analysis of raw EM images to extract cellular and ultrastructural features through machine learning tools. These features will be combined with other sources of computationally inferred or manually annotated metadata in order to augment analysis of neuronal morphology, and neuronal circuit/graph analyses. A background in neurobiology and a very strong quantitative preparation (with extensive experience in bioinformatics/computer science) will be essential. Prior experience with Drosophila connectomics data is highly desirable.
The successful candidate will join a team based in Zoology with 16 team members, carrying out data processing and analysis on computer-assisted neuronal reconstruction data. They will interact closely with a similar team in the US as well as experimental groups especially Greg Jefferis (Cambridge). Candidates will need to be highly motivated and develop a good understanding of the nature of the data and the project's scientific aims. This will be critical to setting priorities as it develops. Close teamwork and a collaborative spirit will be essential, but team members will be expected to demonstrate scientific independence matching their technical expertise.
There will be opportunities to contribute to training new team members and to general project management, as well as to participate in public engagement activities.
Interview dates: Remote interviews between 7th and 18th June 2021.
Fixed-term: The funds for this post are available up until 30 September 2025.
We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.
We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our University.
To apply online for this vacancy and to view further information about the role, please visit :
Please quote reference PF26704 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.
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