We invite applications for the Center for Machine Learning and Health (CMLH) Fellowships in Digital Health. Each fellowship provides full support for one year for a graduate student at Carnegie Mellon University who is pursuing cutting-edge research that advances digital health, broadly defined. The CMLH Fellowship Focus Areas are outlined in our appendix document.
Who Is Eligible?
- Full-time Ph.D. or master's students at Carnegie Mellon University. Master's students must be enrolled for research for at least 24 credits, or writing a thesis must be part of their degree requirements. We encourage master's students to contact us to determine their eligibility before they submit their applications.
- Students with a primary research project related to digital health. We welcome applications that involve diverse approaches and disciplines that apply to healthcare, including machine learning, computer science, robotics, language technologies, computational biology, electrical and computer engineering, economics, psychology, sociology, public policy, business administration, law, human-computer interaction, and statistics.
- Students must be enrolled in the Ph.D. or research-based master's program for a full academic year for the duration of the fellowship.
- We welcome projects at any stages, both initial and mature.
What You Get
- One year of tuition and stipend support (including summer stipend).
- $3,000 in funding to support the underlying research, including conference travel for paper presentation, equipment and human-subject experiments.
- Submit a progress report after six and 12 months of funding.
- Present the research at a CMLH seminar series during or following the term of the fellowship.
- Attend various CMLH seminars and social events.
To Apply, Please Submit
- A three-page research proposal that describes the proposed work to be carried during the fellowship. This proposal should answer the following questions about digital healthcare:
- Which problem will be addressed?
- What main research questions drive the work?
- What new technique, idea, approach or method is proposed to solve the stated problem?
- How will success be expected and determined?
- What are the timeline and expected outcomes to be completed within the one year of the fellowship?
- What resources are needed, if any, namely in terms of data, collaborators, and computing, to complete the proposed plan?
- An updated CV for the student.
- Two letters of recommendation from researchers who know the student (e.g., the research advisor and another faculty member). Ideally, these letters should address both the merit of the proposed research and candidate's qualifications.
The research proposal will be reviewed according to its innovation, feasibility, and the overall quality of the project as measured by its contribution to fundamental research and potential broader impacts in digital healthcare. The evaluation committee will consist of faculty from CMLH and across Carnegie Mellon University working in digital health and related areas from a broad spectrum of perspectives.
We expect to award several fellowships under this call.
How To Submit
- The CV and the research proposal should be submitted via this Google form.
- Reference letters should be sent directly by email to firstname.lastname@example.org, with the name of the student as the subject of the message.
- Applications due: March 31, 2017
- Decisions expected by: May 15, 2017
- Funding to start: Beginning of June or September 2017
For additional information, view our CMLH Fellowship Focus Areas document.