Harvard University Tenure-Track Professor in Applied Mathematics and Kempner Institute Investigator in Cambridge, Massachusetts
Title Tenure-Track Professor in Applied Mathematics and Kempner Institute Investigator
School Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area Applied Mathematics and Kempner Institute for the Study of Natural & Artificial Intelligence
The Applied Mathematics (https://seas.harvard.edu/applied-mathematics) area of the John A. Paulson School of Engineering and Applied Sciences ( SEAS ) and the Kempner Institute (https://www.harvard.edu/kempner-institute/) for the Study of Natural and Artificial Intelligence at Harvard University are seeking applicants for a tenure-track position in Machine Learning and Artificial Intelligence, particularly with interests in deep learning and generative AI. The expected start date is July 1, 2024. The ideal candidate will lead an innovative research program that not only delves deep into a mathematical understanding but also has an empirical and scientific approach towards the subject. We are especially interested in candidates who strive to advance the integration of AI and ML tools into scientific domains including, but not limited to, neuroscience and computational biology.
We are eager to recruit faculty who will help shape the future of scientific research and discovery through the transformative power of computing, AI, and mathematics. Candidates will be welcomed into an interdisciplinary and highly collaborative environment that is committed to advancing the integration of mathematical techniques across various scientific disciplines and deepening our understanding of intelligence. The successful candidate will hold a faculty position in SEAS and be appointed as an Institute Investigator within the Kempner Institute.
Doctorate or terminal degree in Applied Mathematics, Computer Science, Physics, Statistics or related discipline required by the time the appointment begins.
Candidates should have a strong and demonstrated record of theoretical or experimental expertise in Applied Mathematics and Machine Learning or AI, and a strong commitment to undergraduate and graduate teaching and advising.
Please submit the following materials through the ARIeS portal (https://academicpositions.harvard.edu). Candidates are encouraged to apply by December 15, 2023; applications will be reviewed until the position is filled.
Teaching/advising statement (describing teaching philosophy and practices)
Statement describing efforts to encourage diversity, inclusion, and belonging, including past, current, and anticipated future contributions in these areas.
1-3 representative papers.
Names and contact information of 3-5 referees, who will be asked by a system-generated email to upload a letter of recommendation once the candidate’s application has been submitted. Three letters of recommendation are required, and the application is considered complete only when at least three letters have been received. At least one letter must come from someone who has not served as the candidate’s undergraduate, graduate, or postdoctoral advisor.
Note that there are three additional faculty searches ongoing currently with the Kempner Institute at Harvard University. One is in partnership with Psychology, another with Computer Science, and a third with the Center for Brain Science. If applying to more than one, please read the search criteria carefully.
The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC -recommended vaccines.
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Equal Opportunity Employer
Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.
Minimum Number of References Required 3
Maximum Number of References Allowed 5