Computational Neuroscientist

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.

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.

• 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.