Postdoctoral position in AI for Engineering Applications

Harvard University
Cambridge, MA, United States
28 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$67,600.0 - $91,826.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Scientific Computating Reinforcement Learning High Performance Computing Information Technology Engineering Base

Job description

Title Postdoctoral position in AI for Engineering Applications 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 postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications pertaining to fluid mechanics of turbulent and environmental flows starting September 1, 2025, or as soon thereafter as possible. The position is for one year, with the possibility of renewal for two additional years. The candidate will work closely with Professor Petros Koumoutsakos cse-lab.harvard.edu.

Requirements

Basic Qualifications Doctoral degree. Applicants background may include studies in: Computational Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly collaborative and international environment. Special Instructions

Benefits & conditions

Salary Range $67,600 - $91,826Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field. Minimum Number of References Required 2 Maximum Number of References Allowed 4 Keywords EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy. Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Supplemental Questions

Required fields are indicated with an asterisk (*). Applicant DocumentsRequired Documents

  1. Curriculum Vitae

Optional Documents

  1. Cover Letter
  2. Statement of Research
  3. Publication
  4. Publication 2
  5. Publication 3

Equal employment opportunity, including veterans and individuals with disabilities.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jofdav.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:45 min

Supervised, unsupervised, and reinforcement learning paradigms explained

Alexandra Waldherr · LIVE

4:54 min

Development history of scientific computation libraries and PyViz tools

Radovan Kavický · LIVE

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:31 min

The new paradigm of AI engineers

Stan Girard Stan Girard · World Congress 2024

2:06 min

Understanding supervised, unsupervised, and reinforcement learning models

Lutske van der Meer Lutske van der Meer · World Congress 2024

Videos

See all

Related articles

See all