AY2025-2026 Position 5757 Psychology - Assistant Professor Data Science Cluster
AY2025-2026 Position 5757 Psychology - Assistant Professor Data Science Cluster
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Job Description
Applications are invited for a tenuretrack Assistant Professor in Psychological Clinical Science (Position No. 5757 to begin in August 2025. The position is part of a larger universitywide cluster hire in Data Science supported by nextgeneration research computing technology that includes virtual and augmented reality and artificial intelligence to engage multiple disciplines across campus. Under the umbrella of the ODonnell Data Science and Research Computing Institute of which several departmental faculty are affiliates the cluster contains three interrelated groups: Data Core TechnologyEnhanced Immersive Learning (TEIL) and Health Analytics. Faculty are expected to collaborate with other faculty in the Data Science research cluster with the goal of acquiring and/or employing data that can help further identify understand and address some of humankinds most significant challenges.
SMU has many strengths to support research in Data Science through the ODonnell Data Science and Research Computing Institute. SMU is home to one of the fastest and most powerful academic supercomputers in the nation (ManeFrame III). The other highperformance computing platform available is the NVIDIA DGX superPOD which is specifically tailored for cuttingedge research in the fields of AI and machine learning.
SMU is a nationally ranked private nonsectarian research institution located in one of the nations fastestgrowing metropolitan areas. Researchers are part of an inclusive and intellectually vibrant community of internationally recognized scholars across the humanities social and life sciences mathematical sciences engineering and business. SMU offers excellent benefits including full samesex domestic partner benefits. The City of Dallas is one of the nations most cosmopolitan culture and global business centers and the DallasFort Worth metroplex is the fourth largest in the US. Explore Dedman College at and SMU at .
The Department of Psychology is seeking candidates with a program of research in a substantive area of clinical science that also contributes to the Data Science cluster. Substantive research areas of interest include but are not limited to: 1 mechanisms etiology measurement prevention and/or treatment of psychopathology; 2 psychological aspects of physical health; 3 risk or resiliency factors; and 4 impact of societal problems (e.g. violence racism discrimination) on mental and/or physical health. Examples of methodologies and data analytic approaches with significant potential to enhance SMUs capacity in Data Science include but are not limited to: 1 computational modeling and machine learning applications; 2 highspeed computing for analysis of large datasets (e.g. neuroimaging or diagnostic data); 3 intensive mobile data collection and data sensing (e.g. geolocation smartphone usage); 4 use of Artificial Intelligence (AI) technology for assessment or intervention. Applicants with advanced quantitative skills are particularly encouraged to apply.
Applicants with a Ph.D. in any area of psychology will be considered; however preference will be given to applicants with a Ph.D. in Clinical Psychology. A Ph.D. is required at the time of the appointment. Successful candidates must be able to contribute meaningfully to our doctoral program in clinical science which is a member of the Academy of Psychological Clinical Science and accredited by the American Psychological Association. Candidates should demonstrate the ability to establish and maintain a rigorous and highly productive research program that can generate external funding. Candidates also must be committed to excellence in teaching and mentoring at both the undergraduate and graduate levels. Successful candidates will have a collaborative interdisciplinary approach to research and will be experienced in working with multidisciplinary teams. Women minorities veterans and persons with disabilities are strongly encouraged to apply. For additional information about our faculty the doctoral program and the department visit
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Full Time
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