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 computational modeling of human brain imaging data using deep neural networks. The successful candidate will be involved in a multidisciplinary project that seeks to develop novel computational frameworks for robust identification of neurobiological signatures of psychiatric and neurological disorders combining deep learning and convolution networks and dynamic brain circuit analyses with task and resting-state fMRI. Clinical disorders currently under investigation include autism, ADHD, anxiety and mood disorders, learning disabilities, schizophrenia, and Parkinson’s disease. We seek talented and highly-motivated individuals with a strong background in at least one of these areas: deep learning algorithms and optimization (theory and practical implementations); computational modeling, statistical inference, and machine learning, especially as applied to fMRI and MRI data. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPGPUs. 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


Programmer / Analyst

Stanford University has an opening for a talented individual with strong computational and programming skills. This is an exciting opportunity to work with a multidisciplinary research team (http://scsnl.stanford.edu) on a wide range of studies of human brain function and dysfunction. The successful candidate will assist lab members with neuroimaging and behavioral data analysis, data organization, and management. We are seeking talented and enthusiastic candidates with a strong background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. 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+quantitative@gmail.com

 

Duties and Responsibilities

The Scientific Data Analyst and Programmer responsibilities will include, but are not limited to:

1. Program and optimize pipelines for data quality control, imaging data preprocessing, and statistical and computational analyses pipelines for large-scale multimodal brain imaging data, including but not limited to resting‐state and task-based fMRI, diffusion MRI, and volumetric data, behaviora data, and biological (e.g. hormonal, genetic data.

2. Maintain detailed logs of work flow, generated codes and scripts, and documentation of processes

3. Create and manage best practices for data organization and workflow procedures

4. Implement publicly available processing and analyses pipelines such as the Human Connectome Project.

5. Implement data visualization programs on neuroimaging, behavioral, and biological data

6. Process and analyze neuroimaging, behavioral, and biological data working closely with other lab members

7. Work closely with lab members on data requests and system upgrades. 

8. Assist in the creation and maintenance of lab databases, query tools for data mining, coordination of data integration from multiple ongoing studies, and documentation of these tools. 

9. Train other lab members on quality control and preprocessing of neuroimaging data. 

10. Communicate and document all issues and concerns as they arise to PIs and other relevant research staff

 

Required Qualifications

B.A., B.S. required. Masters or PhD preferred with background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subject. Salary will be commensurate with relevant experience and education. 

Extremely proficient with multiple neuroimaging analysis platforms (e.g. HCP Pipeline, FreeSurfer, SPM, FSL, AFNI, GIFT, TrackVis, CONN, etc.).

Strong programming skills and comfort with diverse computing environments (e.g. Matlab, Python, UNIX/BASH languages).

Strong background in statistics and statistical software scripting (e.g. R, Python).

Experience with data visualization.

Strong interpersonal skills and a high level of organization with careful attention to detail are absolutely required.  

High degree of motivation, organization, and self‐sufficiency, although some training and supervision will be provided. 

 

Additional Qualifications

Experience with databases (neuroimaging, biological, and behavioral) is an advantage.

Experience with network analyses, machine learning and modeling confer a significant advantage.

Familiarity with the Brain Imaging Data Structure (BIDS) is an advantage.


Cognitive Neuroscience Research Assistant

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