Graduate Research Assistant

CloudLeap Technologies, LLC is looking for a Graduate student (Master's or PhD) in the Department of Psychology at either UMBC or the University of Maryland (UMD) College Park to help us with a literature review as we work on building a product in Machine Learning and Mental Health.  

Our interests include: 

1) What do studies show about the accuracy of diagnosis of mental disorders? 

• How accuracy may be affected by the type of provider making the diagnosis (e.g., mental health providers versus PCPs, including nurse practitioners),
• The extent to which there may be diagnostic agreement as to the category of mental impairment (e.g., affective vs anxiety disorders) but disagreement as to the specific DSM-IV or DSM-5 mental disorder diagnosis,
• Factors that contribute significantly to diagnostic accuracy, especially any research that shows how information about the claimant’s day-to-day functioning (e.g., effectiveness in carrying out ADLs or amount/type of socialization) improves diagnostic accuracy).
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2)Are there aspects of a person’s day-to-day functioning (or changes in the person’s day-to-day social functioning or changes in other behavior) that correspond to improved mental health treatment outcomes? 

3)Are there any objective or 3rd party measures of a person’s behavior (such as motor activity, socialization data, extent of gameplay, etc., collected by smartphone, social media programs, or phone/tablet apps) that correlate with or otherwise seem to be related to mental health treatment outcome or improved mental functioning? 

Essential Skills:

1. Masters Student in the second year of the program or PhD or Post Doctoral candidate (PhD or Post Doc Preferred)
2. Knowledge of Academic sources and Journals and past research experience
3. Some knowledge of modern technology such as Big Data, AI and Machine Learning (ML)
4. GPA 3.0 or above