Analog and mixed-signal IC designer expected to implement novel circuit blocks for neural interfaces, such as low-noise amplifiers, neurostimulators, and specialized machine learning hardware in Cadence. Applicants with strong background in analog/digital and mixed-signal integrated circuits are encouraged to apply.
Data scientist with a focus on designing machine learning algorithms for medical diagnosis. The candidate is expected to analyze large neural datasets and apply various machine learning techniques to the task of predicting neurological disorders such as epilepsy, Parkinson’s, and depression, as well as motor decoding for brain-machine interface (BMI) applications.
Candidates are expected to have a PhD in Electrical Engineering, Computer Science, Biomedical Engineering, or a related field with a proven track record of conducting high quality research. Appointments are for a period of one year, but our expectation is that it would be renewed, assuming satisfactory research progress and availability of funding.
We have PhD openings for students with strong academic background interested in our interdisciplinary research at the intersection of circuit design, machine learning, and neuroscience. Applicants with strong background in analog/digital and mixed-signal integrated circuits, or machine learning and signal processing are encouraged to apply.
Qualified candidates are encouraged to send their CV to [email protected]