A&S - Psychology - Assistant to Associate Professor - Adult Division

University of Miami • Coral Gables, FL

2d

About The Position

The University of Miami’s Department of Psychology in the College of Arts and Sciences invites applications for a full-time faculty position in its Adult Division at the rank of Assistant Professor (tenure-track) or Associate Professor (tenure-eligible). The appointment is scheduled to begin August 15, 2027. The area of focus is open and may include basic research on affect, cognitive processes such as learning, memory, and attention, social processes, clinical science, or mechanistic research on psychopathology or mental health. The department also welcomes scholars with expertise in lab-based experimental, naturalistic, computational, mobile health/digital phenotyping, or cognitive neuroscience methods, as well as data science, advanced quantitative techniques, big data, computational approaches, and machine learning.

The Department of Psychology is a collaborative community with clinical and psychological sciences faculty across Adult, Cognitive and Behavioral Neuroscience, Child, and Health Divisions. Its mission is to acquire, advance, and disseminate knowledge in the Psychological and Biobehavioral Sciences, supported by graduate programs and state-of-the-art facilities.

Applicants must hold a Ph.D. in clinical or non-clinical psychology by the appointment start date. Application materials, combined into a single PDF, include a letter of interest, current CV, research statement, teaching statement, three representative publications, and contact information for three to four references. Letters of recommendation will be requested for finalists. Application review begins December 1, 2026, and continues until the position is filled.

Requirements

• Ph.D. in clinical or non-clinical psychology by the appointment start date.
• Submit a letter of interest, current CV, research statement, teaching statement, three representative publications, and three to four references.

Nice To Haves

• Expertise in lab-based experimental, naturalistic, computational, mobile health/digital phenotyping, or cognitive neuroscience methods.
• Research interests in data science, advanced quantitative techniques, big data, computational approaches, or machine learning.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree