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From artificial intelligence to network security to hardware design, it iswell-known that computing research drives many important technological andsocietal advancements. However, less is known about the long-term career pathsof the people behind these innovations. What do their careers reveal about theevolution of computing research? Which institutions were and are the mostimportant in this field, and for what reasons? Can insights into computingcareer trajectories help predict employer retention?  In this paper we analyze several decades of post-PhD computing careers usinga large new dataset rich with professional information, and propose a versatilecareer network model, R^3, that captures temporal career dynamics. With R^3 wetrack important organizations in computing research history, analyze careermovement between industry, academia, and government, and build a powerfulpredictive model for individual career transitions. Our study, the first of itskind, is a starting point for understanding computing research careers, and mayinform employer recruitment and retention mechanisms at a time when the demandfor specialized computational expertise far exceeds supply.

Career Transitions and Trajectories: A Case Study in Computing