The lab of Dr. Yael Niv at the Princeton Neuroscience Institute and the Department of Psychology at Princeton University (nivlab.princeton.edu) is seeking a bright and motivated lab manager/research assistant. We are a computational modeling lab that focuses on understanding human learning and decision making, and how they relate to mental health.
The position provides an excellent opportunity to further develop research skills in computational modeling and experimental analysis, and to learn about the psychology and neuroscience of learning and decision making and their relationship to mental health. It is an excellent spring-board for someone potentially interested in going to graduate school in this area in the future. The successful applicant will be an energetic, self-directed learner with strong computational/programming abilities and a keen interest in the lab's research. This is a one-year position with the possibility (and expectation) of renewal for a second year. Note that unfortunately we cannot extend OPT work visas for a second year, and the aim is for this position to be a two-year position.
All applications should include a cover letter stating background and professional interests, a CV, and contact information of two references.
Responsibilities include:
- research work (helping design and implement online experiments, simulating models of learning and decision-making, assistance in fMRI experiments)
- administrative lab management (IRB protocols, managing the lab wiki and websites)
Essential Qualifications:
- B.A. or equivalent majoring in neuroscience, psychology, computer science or related field
- Proven programming ability
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.