Northwestern University’s Center for Behavioral Intervention Technologies (CBITs; www.cbits.northwestern.edu) is seeking full-time postdoctoral fellows with a strong interest in digital mental health. Successful candidates will work in a variety of complementary lines of research focused on digital mental health. An overarching theme of the CBITs’ research is focused on the design, evaluation, and implementation of technology-enabled interventions for depression and anxiety in the context of real world care settings. This work will include collaborations with specialists in human computer interaction and implementation science. In addition, the Center is working to harness methods that have not been used in mental health, such as personal sensing methods that use phone sensor data to detect behaviors and states related to mental health conditions in real time. The successful candidate will take a leadership role, overseeing the psychological research components in a multidisciplinary team that includes psychologists, human computer interaction researchers, and machine learning experts. Mentorship is available from experienced researchers who have federal and foundation funding including David C. Mohr, PhD, Stephen M. Schueller, PhD, Emily Lattie, PhD, and Madhu Reddy, PhD.
CBITs provides a unique scientific home for interdisciplinary scholars working in psychology, medicine, human computer interaction, computer science, biostatistics, and implementation science. The overarching goal of the center is to make digital mental health work in the real world. To achieve this goal, we employ user centered design processes that integrate input from a broad range of stakeholders, develop accelerated evaluation methods that integrate optimization and trial methods, integrate implementation science at all levels of our work, and develop tools that harness new methods not yet widely applied in mental health, such as personal sensing.
The successful candidate will have a strong record of publications, experience in the use of technology and mental health, and experience with quantitative or qualitative research methods. Experience with user-centered design principles, human factors, and machine learning is also a benefit.
The primary objective of this fellowship is to prepare the individual for an academically oriented career in fields relevant to technology and mental health. The fellow will have the use of data for publications. Minority applicants encouraged. Start date is flexible and applications will be reviewed as received so interested candidates should apply as soon as possible regardless of their preferred start date. Appointments are for one year, renewable to two, pending budgetary approval. Salary is competitive. Send CV, statement of research interests and goals, & three letters of recommendation to David C. Mohr, PhD care of Susan Kaiser (email@example.com), Center for Behavioral Intervention Technologies, Department of Preventative Medicine, 750 N. Lake Shore Drive., 10th Floor, 10-104, Chicago, IL 60611