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Computational Neuroscientist

External
alljoined logoAlljoined · San Francisco
$140K–$180K/yrFull-timeOn-site7mo ago
Deep LearningMachine LearningNumPyPythonPyTorchScikit-learn
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About the role

As a Computational Neuroscientist , you will play a pivotal role in advancing our research. Using computational and neuroimaging techniques, you will design and iterate on stimulus paradigms at scale in collaboration with our research team, and perform comprehensive analyses on collected date to uncover insights into various paradigms and architectures. You will work with a team of hands-on research coordinators who will handle much of the collection work to get data at scale, and collaborate with other engineers and researchers, to design experiments to optimize next-generation neural decoding approaches. About You PhD/postdoc in neuroscience or a related field. Extensive experience in designing and executing neuroscience studies, including the analysis of functional brain imaging data (EEG, fMRI). Proficiency in Python (MNE, Numpy, PyschoPy) and associated machine learning frameworks (PyTorch, Sci-Py, Scikit-Learn). Extensive experience using advanced computational, statistical, and modeling skills to analyze and interpret neuroimaging data. A strong grasp of psychophysics and human behavior. Demonstrated ability to conduct independent research and collaborate in an interdisciplinary setting. Compensation Range $140,000 - $180,000+ /year While this represents our expected range based on market data, final compensation will be determined based on your specific skills and experience and may be outside this range.

Benefits

Competitive equity compensation at a seed stage startupOptions for housing supportVisa sponsorship3% 401k matchingHealth insurance401(k)Equity / stock options

Additional Information

About Alljoined Alljoined is creating a future where humans are fully understood and augmented by technology. Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets to decode multimedia input, eventually moving to internal thought. We are state-of-the art in capabilities and are fully vertically integrated. Our goal is to develop a general consumer interface to completely transform how we can live our lives. We are actively growing our world-class team of researchers to build the next interface to improve individual lives as well as the well-being of society as a whole.


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