Details

Title Postdoctoral position in Generative AI and High Performance Computing at Harvard University

School Harvard John A. Paulson School of Engineering and Applied Sciences

Department/Area Applied Math

Position Description

The Computational Science and Engineering Laboratory at Harvard University invites applications for a postdoctoral position at the interface of High Performance Computing, Computational Science and Artificial Intelligence for applications ranging from turbulence to collective fluid mechanics beginning September 1, 2024, or as soon thereafter as possible. The position is for one year, renewable for two additional years. The candidate will work closely with Professor Petros Koumoutsakos cse-lab.harvard.edu (http://cse-lab.seas.harvard.edu/) For further information, please contact petros@seas.harvard.edu.

Basic Qualifications

PhD in Computational Science, Computer Science, Applied Mathematics, Engineering or Physics by the time the appointment begins.

Additional Qualifications

Applicants background may include studies in: Computational Science, Computer Science, Applied Mathematics, Engineering and Physics. Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Generative AI, Foundation Models, Collective Fluid Mechanics, Active Matter, Cybernetics , Physics and Engineering. The successful candidate will work in a highly collaborative and international environment. Applications from women and under-represented minorities are strongly encouraged.

Special Instructions

Application deadline is June 30, 2024. SEAS is dedicated to building a diverse and welcoming community and we strongly encourage applications from historically underrepresented groups.

Contact Information

Lori Reck

Contact Email lreck@seas.harvard.edu

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 2

Maximum Number of References Allowed 4

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