The HI-AIPrN T32 program is now accepting applications for prospective trainees to be appointed to its one predoctoral slot, with an anticipated start date of September 1, 2024.
Applications are due by 11:59 pm HST, Tuesday June 25, 2024.
Trainees would have ideally completed 1-3 years of their doctoral program with a preference for those having completed the qualification exam. We will consider applications from all backgrounds. The HI-AIPrN T32 training program requires dual primary mentorship. Trainees will need to choose two primary faculty mentors in distinct disciplines: one mentor from the nutrition sciences or related biomedical domains, and a second one from advanced computational, systems or data sciences including AI/ML analytics. Please refer to the predoctroal training program page for an overview. Trainees enrolled in majors of nutritional and related biomedical science graduate programs will need to complete courses and research activities in computational, data or informatics science, and vice versa. Trainees will be expected to focus on AI/ML-powered research on precision nutrition sciences and relevant biomedical fields for their doctoral dissertation, and participate in career and professional development activities.
Selected predoctoral trainees will be paid a 12-month stipend and allowances consistent with the NIH and University of Hawaii guidelines. Predoctoral fellows may also apply for additional funds from the different pilot programs available at the University of Hawaii to supplement research and publication, to travel to and present at professional conferences.
Applicants must submit documents at the link below:
1) a completed HI-AIPrN Training Grant Application Form.
2) NIH Biosketch or Curriculum Vitae;
3) a Research Plan and Career Goals (maximum 2 pages excluding references) that addresses a precision nutrition or relevant chronic disease problem (obesity, diabetes, metabolism, cardiovascular disease, cancer, microbiome-host diseases, etc., and the associated health disparities) by applications of AI/ML analytics and toolkits through cross-disciplinary collaboration. Applicants should describe their training timeline, career objectives and path after degree completion.
4) Record of graduate and undergraduate transcript and grade point averages (unofficial transcripts are sufficient).
5) Multi-Mentorship Plan (maximum 1 page), including names and describing the roles of two T32 primary faculty mentors who will serve as the co-chairs of the candidate’s doctoral dissertation committee. The co-chairs (dual primary mentors) must eb chosen from the list of faculty mentors with distinct research expertise (for example, one mentor from the nutrition or related biomedical domains, and the other mentor from advanced computational and data/informatics sciences including AI/ML analytics). Additional trainers and mentors for research training may be included and described.
6) Mentorship Management Information – Mentor’s research funding plan, plan on publication authorship and conflict management plan.
7) Letter of Support from each of the two proposed primary mentors, to be directly e-mailed to ypan@hawaii.edu.
The University of Hawaii JABSOM and CTAHR are committed to building and maintaining a supportive community where faculty, staff, and trainees from diverse backgrounds and experiences are supported in their profession and social and intellectual goals. We strongly encourage members of underrepresented groups to apply.
Ready to apply?