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The International Brain Laboratory has openings for postdoctoral fellows and scientific staff who will play key roles in a new large-scale international collaboration in brain research.
The IBL combines the efforts of approximately 50 scientists in 20 laboratories toward understanding the brain-wide basis of a complex behavior.
The project will involve recording the activity of millions of neurons in the working brain and building mathematical models of the resulting data. The data sets this project will produce are vast and complex, including physiological recordings, behavioural measurements, and video, all of which must be standardized into common formats, integrated into a single database, and subjected to quality control. Core staff positions will support the both experimental and theoretical work through the entire lifecycle of data, including acquisition, analysis, modeling and dissemination.
Remuneration will be competitive and commensurate with experience. There is considerable flexibility in base location within the U.S. and Europe. To apply, please send cover letter and CV to email@example.com with subject: PositionAcronym LastName. Review of applications will begin immediately and continue until the position is filled, with an ideal start date of October, 2017.
You may find more specific information about the different job openings bellow:
The primary responsibilities of the PM will include ensuring delivery of key milestones, managing overall project budget and finances, facilitating project governance and internal communication, and
liaising with funders, external agencies and partners. Candidates should have demonstrated success in project management of a comparable scale and a strong background in scientific research.
The TM will be responsible for ensuring reproducibility of experiments across labs by (1) helping to establish and maintain a common set of experimental apparatus for behavior and neural recordings and (2) establishing procedures for standardizing, monitoring and troubleshooting experimental conditions, including animal subjects, surgical procedures, materials, etc. The position will involve extensive travel between ten experimental laboratories at six institutions across the U.S. and Europe. The ideal candidate would have a PhD in neuroscience and very strong technical and experimental skills. Strong organizational and interpersonal skills are required. Prior experience in laboratory or project management is desirable.
Postdoctoral fellows will participate directly in guiding the experimental, data analytical and/or theoretical aspects of the IBL. Postdocs, though based in individual labs, will also be identified directly with the project as a whole, and will have the opportunity to collaborate closely with experimental and theoretical labs throughout the project. Postdocs will directly benefit from the collaborative nature of the project, given the unique access to resources and experimental/theoretical expertise. Therefore, they will likely be more productive than possible working in a more "traditional" postdoc role. Postdocs can apply either by directly emailing individual labs with their CV and reference information, or as specified above.
The DC will work closely with our contributing labs and scientific programming staff to ensure the integrity and organization of data collected by experimental labs. The ideal candidate would have a
PhD in neuroscience, and extensive experience with large neurophysiological and behavioral datasets. Attention to detail and ability to work collaboratively are both essential. Strong computing ability is also important, including knowledge of relational databases, Python and MATLAB.
The SMP will contribute to the design of applications and pipelines for organization, storage and analysis of this data. The job will involve building software and data infrastructure for this collaborative research project, and supporting it. The ideal candidate will have extensive experience with MATLAB and previous work with big data in scientific research. Knowledge of Python and relational databases
and experience interfacing with experimental control hardware is desirable.
The SSP will lead the design of applications and pipelines for organization, storage and analysis of this data. The job will involve building software and data infrastructure, as well as a role in ensuring data integrity, working closely with data providers to ensure it meets project standards.
The ideal candidate will have extensive experience with relational databases and Python. Experience with MATLAB, previous work with big data in scientific research, and experience interfacing with experimental control hardware would also be desirable.