Early Childhood Mental Health, AI, and Ditigal Phenotyping (REACH) Study, Hassenfeld Children’s Hospital
Department of Child and Adolescent Psychiatry
Hassenfeld Children’s Hospital at NYU Langone Health
Hassenfeld Children’s Hospital at NYU Langone Health
Postdoctoral Fellow – Early Childhood Mental Health, AI, and Digital Phenotyping (REACH Study)
The Department of Child and Adolescent Psychiatry at NYU Grossman School of Medicine is seeking a highly motivated Postdoctoral Fellow to contribute to the NIH-funded Remote Assessment of Child Mental Health (REACH) project, part of the national IMPACT-MH research network.
REACH is a multi-site initiative focused on advancing scalable approaches to characterizing child mental health using remote behavioral assessments, digital phenotyping, and computational tools. The postdoctoral fellow will play a central role in the scientific and operational coordination of the project while developing an independent research program.
This position combines research, project leadership, and mentorship, and is well suited for candidates interested in pursuing careers as independent investigators in academia or research leadership roles in industry.
The fellow will work closely with the Principal Investigators, Drs. Moriah Thomason, Lauren Shuffrey, & Magda Janecka, in addition to interdisciplinary collaborators. The candidate will gain experience with large-scale team science, digital mental health research, and computational methods for behavioral data.
Research and Scholarly Development (70%)
The fellow will contribute to scientific analyses and dissemination of findings related to the REACH project. A major component of this position involves developing methods to predict child developmental psychopathology from behavioral video data using computer vision and artificial intelligence methodologies. Responsibilities include developing research questions, conducting analyses, preparing manuscripts, and presenting findings at national and international scientific conferences.
The fellow will contribute to scientific analyses and dissemination of findings related to the REACH project. A major component of this position involves developing methods to predict child developmental psychopathology from behavioral video data using computer vision and artificial intelligence methodologies. Responsibilities include developing research questions, conducting analyses, preparing manuscripts, and presenting findings at national and international scientific conferences.
Responsibilities include:
- Supervising the development of novel AI and computer vision methodologies applied to existing behavioral video datasets
- Developing computational models for behavioral phenotyping and prediction of child externalizing outcomes
- Conducting statistical and computational analyses and interpreting results
- Collaborating with interdisciplinary investigators in psychology, psychiatry, and computational science
Project Leadership and Coordination (30%)
The fellow will help coordinate day-to-day operations of the REACH project and collaborate with investigators across participating sites. Responsibilities include:
- Supporting study coordination and communication across collaborators and research sites
- Supervising research personnel including research assistants and student volunteers
- Contributing to project workflow management and milestone tracking
- Assisting with training and onboarding of new team members
Training Environment
The fellow will join a collaborative research environment within NYU Langone Health and Hassenfeld Children’s Hospital. The position includes substantial support from research assistants and collaboration with graduate students and faculty across disciplines.
The fellow will work closely with the Principal Investigators and receive mentorship focused on developing the skills needed to lead an independent research program. Career development support includes assistance with manuscript preparation, conference presentations, and development of grant proposals as a lead trainee investigator (for example NRSA fellowships, K01, or K99/R00 awards).
Preferred Qualifications
- PhD or equivalent doctoral degree in psychology, neuroscience, computer science, engineering, or a related field
- Background in computer vision, machine learning, or computational behavioral science
- Experience with advanced time-series analysis (e.g., temporal fusion transformers or related architectures)
- Programming experience (e.g., Python, R, MATLAB)
- Experience working with behavioral video data or digital phenotyping
- Experience working on collaborative or multi-site research projects
- Demonstrated research productivity (e.g., publications or conference presentations)
- Strong organizational and project management skills
- Excellent written and verbal communication abilities
Salary: The starting salary range is $77,000 – $80,000 per year, consistent with NIH postdoctoral salary guidelines and experience.
To apply, please send the following materials to shuffreylab@nyulangone.org
- Curriculum vitae
- Cover letter describing research interests and career goals
- Representative publication or writing sample
Closing Date:
Contact: shuffreylab@nyulangone.org