Lecturer - Computational and Cognitive Neuroscience

Lecturer - Computational and Cognitive Neuroscience
Location: Princeton, NJ, United States
Salary Range or Pay Grade: $87,500
Description

The Princeton Neuroscience Institute seeks a full-time lecturer to teach courses, and /or teach precepts with an anticipated start date of January 16, 2027. The initial appointment will be through July 1, 2027, and may be renewed at 12-month increments, contingent on satisfactory performance and curricular need. The primary responsibility of the successful applicant will be to teach neuroscience laboratory courses for both undergraduate and graduate students in computational and human cognitive neuroscience. The major objective of these courses is to introduce students to both computational modeling as well as the process of experimental design, execution and analysis using modern methods, including large scale electrode recording, fMRI, EEG, fNIRS, MEG, TMS. The successful candidate may have the ability to teach precepts in other departments, as needed. The successful candidate will also have the opportunity to conduct independent research and publish.

The Lecturer will work with faculty to design and update courses where appropriate. They will be responsible for preparing and presenting lectures, laboratory design and setup, creating/ updating assignments utilizing modern open-sourced Python-based analysis tools, writing and grading examinations, meeting with students outside of class time, monitoring teaching assistants, and assigning grades.

Essential Qualifications: Ph.D. in neuroscience or related fields (such as computer science, math or engineering) with a specific focus on relevant applications in computational and human cognitive neuroscience. Proficiency with Python and Jupyter Notebooks. Must have an understanding of mathematical and computational tools used for computational modeling of, and analyzing, behavioral and neuroscientific data. Preferred Qualifications: Experience in teaching at the undergraduate and graduate level. Familiarity with machine learning.

Applicants should submit a cover letter, curriculum vitae, teaching statement and contact information for three referees via Interfolio. Preference will be given to candidates who apply by November 30, 2026. This position is subject to the University's background check policy.

We seek faculty members who will create a climate that embraces excellence and diversity, with a strong commitment to teaching and mentoring that will enhance the work of the department and attract and retain a diverse student body, both at the undergraduate and graduate levels.

Qualifications

Application Instructions

Equal Employment Opportunity Statement

Princeton University is an Equal Opportunity Employer 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.

Pay Transparency Disclosure

The University considers factors such as (but not limited to) the 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.

The University also offers a comprehensive benefits program to eligible employees. Please see this link for more information.

Equal employment opportunity, including veterans and individuals with disabilities.

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