The Center for Machine Learning and Health fellowship programs are designed to give Ph.D. students focusing on emerging technologies an opportunity to deepen their knowledge base and contribute meaningfully in making healthcare better. Healthcare is a vast sector — and our fellows' interests are just as broad as the technologies supporting the healthcare ecosystem. The requirements stated here apply to all CMLH Fellowships.
You must be primarily engaged in research on your main fellowship topic and physically at CMU during the times you are supported as a Fellow. This prohibits significant outside jobs or consulting arrangements. You can take a short internship or a visiting research opportunity (in most cases, during the summer). However, you cannot be supported by the CMLH fellowship for these periods.