Fellowship — Honors/Graduate Psychology Student – Digital Mental Health

Pilot study on patient-generated data between therapy sessions to enhance engagement and outcomes. Participants will use a lightweight mobile MVP that may include AI-assisted features.

Job description

We are conducting a pilot study to examine how patient-generated data, collected between therapy sessions, may enhance patient engagement and improve therapeutic outcomes. Participants will utilize a lightweight mobile MVP application, which may incorporate AI-assisted features.

We are looking for a graduate/undergraduate psychology student (Senior (honors)/MA/MS/PhD) who is interested in:

• Using this pilot as part of a thesis or capstone project.
• Helping refine the study design (recruitment strategy, consent process, outcome measures).
• Collecting and analyzing data from patients and therapists.
• Potentially co-authoring a publication or conference poster.

Senior psychology undergraduates are encouraged to apply.

Eligibility

• Enrolled in a graduate program in Counseling, Clinical Psychology, or a related field.
• Interest in digital mental health, journaling, or therapy research.
• Strong communication and organizational skills.
• Comfortable collaborating on applied projects outside a traditional lab.

Benefits

• A ready-to-go applied research project with technical support provided.
• Opportunity to integrate with thesis, practicum, or academic credit (with faculty approval).
• Co-authorship potential on a publication or whitepaper.
• Hands-on experience at the intersection of psychology and AI-powered health technology.

Commitment

• Flexible, part-time (~3–5 hours/week).
• Duration: ~16–20 weeks total, including:
  • Preparation phase (4–8 weeks): study design, recruitment, consent form development.
  • Pilot phase (8–12 weeks): active data collection with patients and therapists.

Compensation

• Educational stipend support provided for the duration of the study.
• Academic credit and thesis support (if applicable).