Postdoctoral Fellow In Digital Mental Health

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 (susan.kaiser@northwestern.edu), Center for Behavioral Intervention Technologies, Department of Preventative Medicine, 750 N. Lake Shore Drive., 10th Floor, 10-104, Chicago, IL 60611

Faculty Position: Assistant Research Professor in Digital Mental Health

Northwestern University’s Center for Behavioral Intervention Technologies (CBITs; www.cbits.northwestern.edu) is seeking an assistant research professor with a strong interest in digital mental health. The successful candidate will lead two complementary lines of research focused on digital mental health.  The first project, focused on developing personal sensing methods, using phone sensor data to detect behaviors and states related to depression in real time.  The successful candidate will oversee the psychological research components, and coordinate with a multidisciplinary team that includes psychologists and machine learning experts.  The second area is focused on 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.  Mentorship is available from experienced researchers who have federal and foundation funding including David Mohr.

CBITs provides a unique scientific home for interdisciplinary scholars working in psychology, medicine, engineering, computer science, biostatistics, and implementation science. The goal of the center is to improve our understanding of how to employ technologies to support behavioral and psychological change from the perspective of design, development, evaluation, and implementation. The successful candidate will have a strong record of publications, a track record in the use of technology and mental health, and experience with quantitative research methods. Experience with qualitative methods, user-centered design principles, and/or human factors is also a benefit.

This position is intended to support the development of an academically oriented career in fields relevant to technology and mental health. Data will be available for writing manscripts and 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 (susan.kaiser@northwestern.edu), Center for Behavioral Intervention Technologies, Department of Preventative Medicine, 750 N. Lake Shore Drive., 10th Floor, 10-104, Chicago, IL 60611

Faculty Position: Assistant Associate Professor In EHealth/MHealth

The Department of Medical Social Sciences (MSS) and the Center for Behavioral Intervention Technologies (CBITs), www.cbits.northwestern.edu, in the Feinberg School of Medicine, Northwestern University seek an outstanding scientist for a tenure-eligible position at the rank of Assistant or Associate Professor.  The successful candidate will be based within CBITs, with the faculty position in MSS.  CBITs is a multidisciplinary center, including faculty with backgrounds in behavioral science, computer science, engineering, statistics, and implementation science focused. CBITs also has a software development facility that that has supported more than 60 funded projects (including 35 NIMH as well as others from PCORI, NSF and the DoD). CBITs’ mission is to develop, evaluate, and implement innovative eHealth/mHealth technologies. Core academic strengths of the center lie in mental health and wellness, however, the center has many collaborations across a broad range of health problems.

MSS provides a unique scientific home for applied researchers who integrate biomedical and social science approaches to improvement of health and health care delivery across the lifespan (www.mss.northwestern.edu). The department has a strong emphasis on transdisciplinary science and houses a number of health informatics, mental health and mind-body researchers who are synergistic with CBITs. Thus, MSS will provide an outstanding academic home for the candidate.

We are searching for an exceptional scientist to help build our research capacities in any of a number of diverse areas related to design, development, evaluation, and implementation of eHealth/mHealth technologies. The successful candidate will have demonstrated an innovative programmatic approach to his/her research, an outstanding record of scholarly publication, and a history of extramural funding.  We are also looking for expertise that builds on existing strengths in digital mental health and builds new bridges across CBITs and MSS, as well as with other schools in Northwestern, such as Engineering, Communications, and Education and Social Policy. For example, scientists with expertise in real world implementation of ehealth/mHealth interventions using patient-reported outcomes or computational models of implementation in complex systems would be of great interest. CBITs and MSS have highly collaborative cultures in which multiple investigators work in tandem on large-scale, team science research. A critical consideration will be the extent to which the candidate’s focus is synergistic with ongoing CBITs and MSS research and culture of collaboration. The successful candidate will be expected to maintain a strong body of independent research; submit grant applications as principal investigator; publish research results in leading peer-reviewed sources; collaborate broadly across Northwestern and beyond; mentor trainees and/or faculty as appropriate; and contribute to CBITs, MSS, and the University through service.

Applicants may have a doctoral degree in any of a variety of fields, including psychology, medicine, computer science, or engineering, and must have a strong record of federal funding and scholarly productivity. Rank and salary are to be determined based on qualifications and experience. Please send a letter explaining your career goals, a CV, and a list of 3 references to the attention of David C. Mohr, Ph.D., c/o Susan Kaiser (susan.kaiser@northwestern.edu). Review of applications will continue until position is filled.  Please refer to job ID-30265 when applying.  Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.