The Princeton Neuroscience Institute has a Research Specialist I position available in the lab of Professor Ken Norman. The Research Specialist will have the opportunity to assist with the design, programming, and execution of behavioral, fMRI, EEG, and MEG studies, analysis and archiving of data collected from these studies, subject recruitment, and some administrative work. Depending on qualifications/interest, the research specialist may also assist with developing computational models of learning and memory, and with the design and implementation of cutting-edge data analysis pipelines that use deep learning to reconstruct perceived information from functional MRI in real time. For more information on Professor Norman’s lab, see https://compmem.princeton.edu. Questions should be directed to Professor Norman at knorman@princeton.edu.
Applications should include a cover letter, a CV, and a list of at least two potential referees. Review of applications will continue until the position is filled. This is a one-year term position with the possibility of renewal contingent upon performance and funding.
Assisting with scientific tasks (setting up experiments, collecting data, analyzing data, computational modeling)
Subject recruitment and other administrative tasks
Essential Qualifications:
Bachelor's degree in psychology, neuroscience, computer science, or a related field (e.g., physics, engineering) is required.
Preferred Qualifications:
Familiarity with machine learning methods for neural data analysis and strong programming skills.
This position is subject to the University's background check policy.
Princeton University is an Equal Opportunity and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.
The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.