About Nudge Nudge’s goal is to help the brain work better by creating a generalized product that can precisely stimulate and image the brain, entirely non-invasively. We aim to achieve this by developing cutting-edge ultrasound technology to treat neurological and psychiatric disorders, like addiction, and eventually, creating a mainstream consumer device that can modulate mood, focus, sleep, and more.
To realize those ambitions, we’re growing a scrappy, multidisciplinary, science and engineering team focused on making the best technology possible for interfacing with the whole brain, and a product that has the potential to improve people’s daily lives more than any other.
About the team The Research Team at Nudge is innovating on multiple frontiers in neuroscience and neurotechnology, and is primarily focused on developing ultrasound-based neuromodulation to treat conditions like depression, chronic pain and addiction as well as enhance the wellbeing of healthy people. We’re also building the first scalable, portable hardware for noninvasive structural ultrasound-based imaging the quality of an MRI. The team is running human trials for neuromodulation and developing algorithms that will enable on-device imaging.
About the role -Work closely with the Head of Research as well as members of the research and engineering teams on the design and execution of TUS research protocols -Implement experimental tasks and perform statistical analysis on behavioral and imaging data in neuromodulation studies -Clearly communicate scientific results to a broad audience with varying expertise -Stay informed of the latest developments in TUS research and explore novel targets
About you -5+ years experience -PhD or Postdoc in cognitive neuroscience, neuroengineering, or closely related field -Demonstrated history of exceptional contributions in your prior work experiences -Experience with (non-invasive) or invasive brain stimulation, ideally with transcranial ultrasonic stimulation -Interventional data acquisition and analysis experience, including (f)MRI, and physiological measurements -Strong analytical and problem-solving skills, including proficiency with statistical analysis and data visualization in R, MATLAB and/or Python -Experiment coding ability in python/PsychoPy or MATLAB -Excellent scientific communication skills
Compensation $140,000 - $190,000/year + equity Your salary may vary depending on multiple factors such as job-related knowledge, skills, and experience.