ACM SIGHPC Computational & Data Science Fellowship

ACM SIGHPC has created the Computational and Data Science Fellowships, a continuation of the program started with Intel (see below) to increase the diversity of students pursuing graduate degrees in data science and computational science. Specifically targeted at women or students from racial/ethnic backgrounds that have not traditionally participated in the computing field, the program is open to students pursuing degrees at institutions anywhere in the world.

For the purposes of these fellowships, “computational science” encompasses any program of study where computational modeling and simulation serve as the primary methods for conducting research, typically in a field other than computer science (e.g., computational chemistry, wildfire modeling, computational hydrodynamics). Similarly, “data science” relies on computational analysis of large-scale data as the basis for research (e.g., ecological informatics, financial analytics). Preference will be given to candidates whose background is from disciplines other than computer science and who can bring new perspectives to computational/data science.