The position will be in the Dura-Bernal Lab at the State University of New York (SUNY) Downstate Health Sciences University (Brooklyn, New York) working on multiscale models of the brain.
An NIH-funded Postdoc or Software Developer position is now available in the Dura-Bernal Lab at the State University of New York (SUNY) Downstate Health Sciences (Brooklyn, New York). The position is focused on multiscale modeling of the brain, more specifically, developing a co-simulation interface between the NetPyNE and The Virtual Brain (TVB) tools, which will link the molecular, cellular, circuit and whole-brain network scales. The resulting multiscale models will help interpret experimental data ranging from single cell recordings and LFP up to EEG and fMRI.
NetPyNE is a tool for data-driven multiscale modeling of brain circuits -- for more details see our eLife publication (https://elifesciences.org/articles/44494) and tool website (www.netpyne.org). TVB is the worldwide reference tool for simulating macroscale whole-brain network models derived from multimodal MRI (anatomical, functional and diffusion) and EEG datasets. The resulting TVB-NetPyNE interface and multiscale models will be made available on multiple online platforms, including EBRAINS, a cloud-based brain research platform created by EU-funded Human Brain Project and offering brain-related data and tools for open science.
Benefits and conditions:
- Gain research experience and learn cutting edge methods in computational neuroscience: development of neuroscience software tools; large-scale modeling of neuronal cortical circuits to study brain function and disease; and machine learning applied to neuroscience. For more details see Research and Current Collaborations.
- Contribute to NIH-funded and large European projects (HBP, EBRAINS, TVB), and collaborate with top national and international institutions (Yale, Brown, Charité Berlin, EPFL, UCL ...).
- Full-time position (40 hours / week), initially for 1-year, with possibility of extension.
- Work from New York City (Brooklyn), one of the world's most vibrant cities and and major research and tech hub.
Responsibilities:
- Improve the proof-of-concept TVB-NetPyNE co-simulation interface, in terms of usability, scalability and performance.
- Make the TVB-NetPyNE interface portable across cloud platforms: EBRAINS, Neuroscience Gateway and Google Cloud.
- Develop example brain multiscale models, tutorials and documentation; and teach courses/workshops.
- Provide support to neuroscience researchers interested in using the tool to model different brain regions and phenomena/disease.
- Support development of the NetPyNE multiscale modeling tool (reliability, robustness and reproducibility).
Required:
- MSc (or equivalent degree) in Engineering, Computer Science, Neuroscience or related discipline.
- Expertise programming in Python, including tools for scientific computing (numpy, scipy, pandas, etc), with 3+ years of demonstrable experience.
- Experience (3+ years) in collaborative software development as part of a team.
- Git/Github and Linux (shell scripting, ssh, etc) proficiency.
- Experience giving presentations, tutorials and/or product demonstrations.
- Spoken and written English language proficiency.
Desired:
- Experience in research/academic environment and/or neuroscience background.
- Experience with the NEURON simulator, NetPyNE and/or TVB tools.
- Experience running parallelized large-scale simulations on supercomputers.
- Experience in data science, data visualization and machine learning.
How to apply:
- This position is now closed; for questions and other opportunities please email salvador.dura-bernal@downstate.edu
We are committed to creating a diverse workplace, with every member of the team able to thrive both personally and professionally. All qualified applicants will be considered for employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
