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A Postdoctoral Fellowship is available in the Fidelity, Adaptation, Sustainability and Training (FAST) Lab (PI: Shannon Wiltsey Stirman), based in the Department of Psychiatry and Behavioral Sciences Public Mental Health Division and the National Center for PTSD. The lab studies the implementation of evidence based psychosocial interventions (EBPs) strategies, with an emphasis on training and consultation, to support sustained implementation, fidelity assessment, and adaptations to EBPs. For additional information, please refer to http://med.stanford.edu/fastlab.html.
The Postdoctoral Fellow will support a National Institute of Mental Health-funded randomized controlled trial of two forms of messaging-based treatments for individuals who have experienced a trauma and experience PTSD symptoms with an onset or increase during the COVID-19 Pandemic. The Fellow will assist with Cognitive Processing Therapy and Culturally Informed Trauma Therapy fidelity coding, with using machine learning approaches to assess fidelity and with conducting data analysis and manuscript/presentation preparation.
The Fellow will have the opportunity to foster relationships with clinicians and researchers at Stanford and the VA and to collaborate with other members of the National Center for PTSD’s Dissemination and Training Division. This position provides mentored research experience in conducting large implementation and effectiveness studies. The Fellow will be encouraged to take advantage of opportunities to publish on datasets including data from one or more of the lab's completed implementation studies. In addition, mentorship in grantwriting and opportunities to accrue clinical hours for licensure in psychology may be available.
- PhD in clinical psychology or a related field (e.g., social work)
- Training in providing treatments for PTSD, training in CPT and/or culturally informed trauma treatment approaches strongly preferred
- Training and experience in using machine learning/NLP approaches
- Cover letter
- Writing sample
- 2 letters of recommendation (emailed from references upon request)