Institute of Education Sciences-funded Predoctoral Interdisciplinary Research Training (IES-PIRT) Program

The Center for Faculty Advancement joins the Institute of Education Science (IES) in announcing its renewed NYU's Predoctoral Interdisciplinary Research Training (PIRT) program (IES-PIRT), which is offered through NYU’s Institute of Human Development and Social Change (IHDSC).

The IES-PIRT program seeks to recruit 22 fellows primarily from groups underrepresented in the education sciences, including scholars of color, students from low-income families, immigrant-origin students, and individuals with disabilities. New students will join this longstanding training program, continue to pursue high quality, relevant education research in both academic and non-academic settings, and will be mentored and advised by dynamic and dedicated NYU faculty.

IHDSC, in association with faculty from multiple NYU programs and departments — Administration, Leadership and Technology, Applied Psychology, Applied Statistics, Social Science, and Humanities, Teaching and Learning (Steinhardt School of Culture, Education, and Human Development); Psychology and Sociology (Faculty of Arts and Science); and the Wagner School of Public Service — train incoming and advanced doctoral students from diverse backgrounds to become outstanding researchers in the educational sciences.

For more information about the fellowship, including eligibility and requirements, please visit IES-PIRT's application website.

NYU CDS Undergraduate Research Program (CURP)

NYU Center for Data Science (CDS) is partnering with the National Society of Black Physicists (NSBP) to offer the NYU CDS Undergraduate Research Program (CURP). It is a research mentorship program designed for a diverse group of undergraduate students who have completed at least two years of university-level courses and would like to conduct research in data science. The objectives of the CURP are to provide meaningful research opportunities to talented students who are interested in the field of data science, an opportunity to develop the necessary skills and knowledge to participate in successful research collaborations, and a community of academic peers and world renowned faculty mentors who can advise, encourage, and support them. This is currently an online program, hence students can participate from anywhere in the country.

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