UCLA Medical Imaging Informatics is home to two NIH T32 training programs, as well as a number of strong research programs that provide funding for graduate students over the course of their academic career. At this time, funding is only offered to prospective PhD students (with the exception of individuals supported by the UCLA STAR program). Program faculty aim to offer up to five years of support for students, dependent on the availability of funding. T32 predoctoral trainees receive funding for up to two years, and are open to qualified US citizens and permanent residents. Graduate student researcher (GSR) positions are provided in subsequent years (typically after advancing to PhD candidacy) and are also open to international students. Funding typically covers tuition, health insurance, and a living stipend. There are a limited number of funding opportunities available for highly qualified individuals; as such, applicants should not automatically expect funding on admission to the program.
T32 Medical & Imaging Informatics
This T32 is focused on supporting graduate students pursuing medical and imaging informatics research at UCLA. With the now ubiquitous usage of imaging as an in vivo method for objectively documenting and elucidating disease and the human condition, novel research challenges arise in the acquisition, the understanding, and the usage of imaging and related (clinical) data in realizing new knowledge and improved health outcomes. This training program supports doctoral students from a variety of departments, including Bioengineering, Electrical Engineering, Computer Science, and Information Studies.
T32 BD2K: Biomedical Big Data
This T32 is focused on supporting graduate students pursuing biomedical big data analysis research at UCLA. Over the past few years there has been increasing recognition that the biomedical sciences are undergoing a transformation, led by the development of new technologies that have enormously increased the capacity to generate data. These include technologies to sequence DNA and RNA; measure protein and metabolite abundances using mass spectrometry; as well as multiple other high throughput platforms for screening and phenotyping. Coupled with the advances in medical imaging and EHRs, the amount of data is growing faster than ever before. Thus training program allows students to explore and gain experience in fundamental aspects of biomedical "big data" analysis.
Graduate student researchers (GSRs) are selected for high achievement and promise as creative scholars, and assist faculty members with scholarly research. GSRs are typically funded through faculty research grants.
Based on progress towards degree objectives, GSRs are paid at different rates, determined by the UCLA Graduate Division. GSRs must be enrolled in a minimum of 12 units, hold a cumulative GPA of 3.0 at the time of appointment, and be appointed for no more than 50% time. GSRs appointed at 25% time or greater qualify for fee remissions that cover 100% of the education, registration, and UCSHIP fees for the quarter(s).