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 Matthew Lowe at email@example.com.
The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu) invites applications for a postdoctoral fellowship in computational modeling of human cognitive, behavioral, and brain imaging data. The candidate will be involved in multidisciplinary projects to develop and implement novel neuro-cognitive computational frameworks, using multiple cutting-edge methods that may include computational cognitive modeling, Bayesian inference, dynamic brain circuit analysis, and deep neural networks. These projects will span areas including robust identification of cognitive and neurobiological signatures of psychiatric and neurological disorders, and neurodevelopmental trajectories. Clinical disorders under investigation include autism, ADHD, anxiety and mood disorders, learning disabilities, and schizophrenia. We seek talented and highly-motivated individuals with a strong background in at least one of these areas: computational, cognitive, and statistical modeling; deep learning algorithms and optimization (theory and practical implementations); statistical modeling and inference/machine learning as applied to cognitive and brain imaging data. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPUs. Please include a CV and a statement of research interests and have three letters of reference emailed to Prof. Vinod Menon at firstname.lastname@example.org.
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:email@example.com.
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.
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.
Learning and administering up to 7 different protocols.
Working closely with children and parents to ensure participant comfort in the scanner.
Working closely with research assitants to adequately complete the scan in the given time.
Arriving on time to scan and acting in a professional and appropriate manner.
At least some experience with psychology or neuroscience and an interest in the field. Experience withy children is also recommended. A general understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Strong analytic skills and excellent judgment. Ability to work under minimal guidance and supervision. Excellent organization skills and demonstrated ability to complete detailed work accurately. Demonstrated oral and written communication skills. Ability to work with human study participants. Developing supervisory skills. Must be able to commit to 1 year.