The Johns Hopkins Mathematical Institute for Data Science (MINDS) invites applications for a tenure-track faculty position. The successful candidate is expected to conduct fundamental research in the mathematical, statistical and computational foundations of machine learning.
Outstanding candidates at all academic ranks will be considered. Candidates must hold a Ph.D. in Applied Mathematics, Biomedical Engineering, Computer Science, Electrical Engineering, Mathematics, Statistics, or related fields, and will be expected to establish a strong, independent, multidisciplinary, and internationally recognized research program. Commitment to teaching excellence at the undergraduate and graduate levels is required.
Primary appointments will be in the academic Department most appropriate for the candidate within the Whiting School of Engineering – e.g. Applied Math and Statistics, or Computer Science. For additional information see https://www.minds.jhu.edu/job-openings/.
Opportunities for interactions across the University include the Center for Imaging Science, the Center for Language and Speech Processing, the Laboratory for Computational Sensing and Robotics, the Institute for Data Intensive Engineering and Science, the Institute for Computational Medicine, the Malone Center for Engineering in Healthcare, Institute for Assured Autonomy, the Johns Hopkins Applied Physics Laboratory, the Johns Hopkins School of Medicine, the Krieger School of Arts and Sciences, and the Bloomberg School of Public Health.
All applicants should submit their application online at https://apply.interfolio.com/80037 Electronic applications should include a cover letter describing the principal expertise of the applicant, a statement of teaching interests, a statement of research interests, a complete resume, and a publication list. Applications at the Assistant Professor level should also include at least three reference letters. Applications at the Associate or Full Professor levels should not include reference letters or names at this stage.
Applications will be reviewed starting December 1, 2020 and will be accepted until the position is filled. Online interviews will be conducted early 2021.