Research AssistantApplications Closed
Dr Greg Jefferis
Cambridge, United Kingdom
Apply by Jan 16, 2022
Application deadline
Jan 16, 2022
Job
Job location
Dr Greg Jefferis
Cambridge, United Kingdom
Geocoding in progress.
Source: legacy
Quick Information
Application Deadline
Jan 16, 2022
Start Date
Flexible
Education Required
See description
Experience Level
Not specified
Job
Job location
Dr Greg Jefferis
Job Description
A Research Assistant 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.
Applicants will work with electron-microscopy image data, annotate and proof-read automatically segmented reconstructions of neurons and their connectivity, develop open source tools for data analysis/processing and perform neuron morphology, graph/circuit analyses etc. to obtain biological insight. A background in neurobiology or a strong quantitative preparation (e.g. in bioinformatics/computer science) will be helpful.
Successful candidates will join a team based in Zoology with 15 team members, carrying out data processing and computational analysis of neuronal reconstruction data. They will interact closely with a similar team in the US as well as experimental groups in Oxford (Scott Waddell) and Cambridge (Greg Jefferis). Candidates will need to be highly motivated and develop a good understanding of the nature of the data and the scientific aims of the project. This will be critical to setting priorities as the project develops. Close teamwork and a collaborative spirit will be essential, but team members will have increasing opportunities for scientific independence as their expertise develops. Candidates will report to a team leader based in Zoology and will be mentored by an experienced post-doc. There will be opportunities to contribute to training new team members as the group expands and to general project management, as well as to participate in public engagement activities.
Candidates will report to a team leader based in Zoology and will be mentored by an experienced post-doc. There will be opportunities to contribute to training new team members as the group expands and to general project management, as well as to participate in public engagement activities.
Applicants will work with electron-microscopy image data, annotate and proof-read automatically segmented reconstructions of neurons and their connectivity, develop open source tools for data analysis/processing and perform neuron morphology, graph/circuit analyses etc. to obtain biological insight. A background in neurobiology or a strong quantitative preparation (e.g. in bioinformatics/computer science) will be helpful.
Successful candidates will join a team based in Zoology with 15 team members, carrying out data processing and computational analysis of neuronal reconstruction data. They will interact closely with a similar team in the US as well as experimental groups in Oxford (Scott Waddell) and Cambridge (Greg Jefferis). Candidates will need to be highly motivated and develop a good understanding of the nature of the data and the scientific aims of the project. This will be critical to setting priorities as the project develops. Close teamwork and a collaborative spirit will be essential, but team members will have increasing opportunities for scientific independence as their expertise develops. Candidates will report to a team leader based in Zoology and will be mentored by an experienced post-doc. There will be opportunities to contribute to training new team members as the group expands and to general project management, as well as to participate in public engagement activities.
Candidates will report to a team leader based in Zoology and will be mentored by an experienced post-doc. There will be opportunities to contribute to training new team members as the group expands and to general project management, as well as to participate in public engagement activities.
Requirements
- Candidates will need to be highly motivated and develop a good understanding of the nature of the data and the scientific aims of the project. This will be critical to setting priorities as the project develops. Close teamwork and a collaborative spirit will be essential
- but team members will have increasing opportunities for scientific independence as their expertise develops. The ideal candidate will possess:
- Relevant Bachelors or Masters or 2 or more years of practical experience in neuroscience
- computer science
- physical sciences
- Basic understanding of neuroscience Expertise in Drosophila neuroanatomy
- Strong desire to understand circuit basis of brain function and behaviour
- Expertise in electron microscopy (EM) reconstruction software or EM of neural circuits
- Some experience with computer programming / scripting / data analysis (e.g. R
- Python
- Matlab
- unix shell)
- Background in computational neuroanatomy Proven ability to work with very large datasets
- Ability to reason about computational bottlenecks
- Proven ability to develop R or Python packages or Parse and write C++ code
- Experience sharing code and data post-publication
- following standard open research practices
- Experience in analysing and writing scientific results Good communication skills (written and oral)
- Ability to work in a team
- Attention to detail
Job
Job location
Dr Greg Jefferis
Coordinates pending.