Job Opportunities

The following job opportunities are available periodically. We are hiring for positions marked currently available.

Postdoctoral Positions


Postdoctoral Fellowship in Developmental Cognitive Neuroscience

Currently Available: The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for postdoctoral fellowships in developmental cognitive neuroscience. We seek candidates with strong research backgrounds to work on NIH-funded projects combining multimodal brain imaging (fMRI, MRI, DTI) with cognitive modeling and advanced computational brain network analyses in one or more of the following areas: learning and memory, numerical cognition and reading, cognitive training, and brain network development. Populations of interest include typically developing children and adults, children with learning disabilities, and individuals with autism. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies of typical and atypical neurocognitive development. The candidate will have access to state-of-the-art brain imaging facilities and computational resources at Stanford University. Candidates must have a PhD and research experience in cognitive neuroscience, brain development, cognitive science, psychology, or related fields. Strong computational skills and expertise in fMRI data analysis are highly desirable. Please email a CV, statement of research interests, relevant background, list of publications, and have three letters of reference sent to Drs. Vinod Menon and Aarthi Padmanabhan at scsnl.stanford+postdoc@gmail.com.



Postdoctoral Fellowship in Computational Modeling of Brain Networks

Currently Available: The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for a postdoctoral fellowship in human brain network analysis and modeling. We seek candidates with strong research backgrounds in one or more of the following areas: resting-state and task-evoked fMRI connectivity, structural HARDI-based connectivity, neurophysiological modeling of brain networks, Bayesian modeling, machine learning, and deep neural networks. Candidates must have strong computational skills and a PhD in computational neuroscience, computer science, physics, biomedical engineering or related fields. This is an exciting opportunity to work on multiple NIH- and Stanford-funded projects using multimodal (fMRI, optogenetic, DTI, EEG) brain imaging techniques in multiple clinical populations and normative groups. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging and HPC/GPU facilities.  Please email a CV, statement of research interests and relevant background, and have three letters of reference sent to Drs. Vinod Menon and Aarthi Padmanabhan at scsnl.stanford+postdoc@gmail.com


Full-Time Positions


Cognitive Neuroscience Research Assistant Positions

Stanford University invites applications for a Cognitive Neuroscience Research Assistant in the Cognitive & Systems Neuroscience Laboratory (http://scsnl.stanford.edu). This is an exciting opportunity to work on brain imaging studies of cognitive function and dysfunction, cognitive development and learning disabilities. The successful candidate will participate in all aspects of research in the lab, including: acquisition and analysis of functional and structural brain imaging data, assembling, administering, and scoring neuropsychological assessments, screening and recruiting participants, obtaining informed consent, scheduling participants for testing, tracking progress of the study and behavioral data, verifying data and entering pertinent information into database for statistical analysis, conducting statistical analyses, and assisting with manuscript preparation. A minimum commitment of two years is required. Stanford offers a highly competitive salary with excellent health and retirement benefits. Please email a CV, a statement of research interests and career goals, and contact information for three references to: scsnl.stanford+researchassistant@gmail.com

Qualifications

Requires a BS/BA degree in psychology, human biology, neuroscience, biomedical engineering or related fields as well as one to two years of research experience. A strong academic record is essential. Past research experience in cognitive neuroscience is highly desirable. Experience with any of the following would be an added advantage: brain imaging data acquisition, MRI data analysis, neuropsychological assessments, computer programming, MATLAB, signal processing, and statistical analysis. The candidate must have strong organizational and interpersonal skills; the ability to work well with children; a willingness to tackle complex tasks in an independent manner; and a strong work ethic.

Part-Time Staff Positions


Part-Time Scan Technician

The Stanford Cognitive and Systems Neuroscience Lab (SCSNL) is seeking a part-time scan technician to assist in the administration of MRI scans of participants for multiple concurrent child development studies. The successful candidates will learn about the specific studies and contribute to the acquisition of critical data while developing valuable interpersonal skills that will prove beneficial to a future career in healthcare.

Duties include:

1. Learning and administering up to 7 different protocols.

2. Working closely with children and parents to ensure participant comfort in the scanner.

3. Working closely with research assitants to adequately complete the scan in the given time.

4. Arriving on time to scan and acting in a professional and appropriate manner.

Please send a resume/CV, cover letter, and contact information for 3 references to scsnl.stanford+scantech@gmail.com


Internship Positions

Exceptional undergraduate and high school interns are accepted on a rolling basis. Backgrounds in programming or specific software suites are a plus. Please send a resume/CV, cover letter, and contact information for 3 references to scsnl.stanford+internship@gmail.com