Computational Neurology Post Graduate Clinical Research Associate

Drs Sivaraju, Spencer, and Zaveri are hiring a research associate in computation and neuroscience for the Yale University Computational Neuroscience Laboratory for 1-2 years. These positions are appropriate for a student or recent graduate who wishes to spend at least 1 year doing full time research before pursuing a career or graduate studies in data science, neuroscience, or medicine (Computer Science, Bioengineering, Electrical Engineering, Neuroscience, MD/PhD, etc.). The RAs will work closely with one or more faculty of a team composed of an epileptologist (Dr. Adithya Sivaraju), neurosurgeon (Dr. Dennis Spencer), and engineer (Dr. Hitten Zaveri). Our research is on epilepsy and functional neurosurgery and the development of novel analysis methods and neurotechnology.

Primary roles of the research associate will include:
• Involvement in ongoing clinical research projects, including data collection, preprocessing and computational analysis
• Opportunities for grant writing, abstract and manuscript preparation, and to present at conferences.

Ample opportunities will also be available for exposure to data science, clinical neuroscience, neurosurgery, and related fields depending on the student's interests. A major research project is the development of a multimodal brain atlas which would require an applicant to have the neuroscience and computational background to learn how signals and images are manipulated and placed in a data base for integration with other patient derived data. Other projects are focused on computational analysis of complex biomedical time-series. You could gain extensive clinical experience by interacting with epilepsy patients and working collaboratively with the medical team. You are welcome and encouraged to attend department conferences, lectures, and rounds. Mentoring will be provided on how to pursue a career in our respective disciplines, or on how to combine basic research and clinical work through a career in academia.

This position is for 1-2 years. The ideal candidates would be highly motivated, have a strong academic record, an interest in the neurosciences and strong analysis skills (using MATLAB, Python, R, etc). Prior experience in biological signal processing, especially electroencephalography (EEG) data, time-series analysis, medical image analysis, statistical learning, machine learning, deep learning, data bases and statistical methods, is highly valued. Applications will be reviewed on a first come, first serve basis, and strong candidates will be invited to interview. Both undergraduate and Master’s degree graduates are welcome to apply.