May 23rd, 2017 – August 15th, 2017
Application due: April 16th, 2017
Summer Research Internship in Computational Clinical Psychology
Dr. Glen Coppersmith, Qntfy
Qntfy is looking to recruit up to 10 psychology students interested to gain research experience in computational clinical psychology. Qntfy is a psychology and computer science startup that uses machine learning methods to quantify psychological phenomena, detect mental illness and prevent suicidality based on digital life data. Qntfy’s work has been featured in Scientific American, Mashable, and The Mighty. Qntfy routinely publishes its findings in peer-reviewed academic venues, some of which can be found here. Interns will spend 5 – 10 hrs per week working with a research associate to detect signs of psychological disorders and/or suicidality based on social media data. This internship is unpaid and educational in nature, and all tasks can be completed remotely.
Objectives & Responsibilities
This program will equip interns with research skills unique to computational psychology. These include developing annotation schemes to detect psychological constructs from social media and annotating social media data, a key task in the development of machine learning models. Interns will also gain significant topic knowledge and engage with experts in computational psychology during weekly research meetings. Opportunities may also be available for interns to produce an academic paper and conduct an independent research project related to their current studies. Interns must dedicate 5 – 10 hrs per week to the internship over the course of 12 weeks.
Successful applicants will be graduate or undergraduate students of psychology with an interest in studying social media to detect psychological disorders and/or suicidality. Knowledge of clinical psychology diagnostics and psychometrics is useful. A background in computer science is useful, but not necessary.
To apply, please contact Kate via email@example.com with the following information:
- Your name, degree program, institution, and anticipated graduation term
- A cover letter outlining reasons for your interest in the position
- Your resume or CV
- An unofficial college transcript
- Two references
Applications must be received by 11.59pm, Sunday April 16th, 2017.