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Karthik Duraisamy

4 months ago

Postdoctoral Openings in Computational Aerosciences, Turbulence Modeling, Generative AI, and Formal Verification at the University of Michigan University of Michigan in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Expired

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Country

United States

University

University of Michigan

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Keywords

Computer Science
Mechanical Engineering
Aerospace Engineering
Mathematics
Mathematical Modeling
Computational Science
Temporal Dynamics
Supersonic Flow
Physics

About this position

The Computational Aerosciences Laboratory (CASLAB) at the University of Michigan, directed by Karthik Duraisamy, is advertising 4 postdoctoral openings (with a related research faculty option noted in the application form).

CASLAB describes itself as a full-stack computational science group working at the intersection of aerospace engineering, computational fluid dynamics, turbulence modeling, scientific computing, mathematical modeling, numerical methods, and AI for science. The lab sits within the Michigan Institute for Computational Discovery & Engineering (MICDE) and connects with centers such as SciFM.ai and C-PRIME, as well as national laboratories and frontier AI labs.

The post highlights five research directions: formal verification for scientific computing, data-driven turbulence modeling for hypersonic flows, feature-based modeling for turbulent systems, generative AI for spatio-temporal dynamics, and agentic AI for science. Candidates whose interests span multiple areas are especially encouraged.

Preferred applicants should bring strong curiosity, depth, and the ability to move fluidly between theory, physics, and computation. The form asks applicants to choose a topic of interest and role (postdoctoral fellow or research faculty). For research faculty applicants, the form notes additional approval and dossier requirements.

No deadline or funding package is stated in the post. Applications are submitted through the Google Form linked below.

Funding details

Available

What's required

Applicants should have expertise in one or more of the listed topics: formal verification for scientific computing, data-driven turbulence modeling for hypersonic flows, feature-based modeling for turbulent systems, generative AI for spatio-temporal dynamics, or agentic AI for science. The post welcomes candidates whose interests cut across multiple areas. The announcer values curiosity, depth, intellectual ambition, and the ability to move between mathematical theory, physical insight, and computation. The form indicates applicants may apply as postdoctoral fellow or research faculty; research faculty applicants should be aware that a casebook, arm's-length letters, and departmental/college/university approvals are required.

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Professors

Director, MICDE and Professor of Aerospace

University Name
Country flag

United States

Research Interests

Fluid Mechanics

Aerodynamics

Continuous-time Systems

Nonlinear Dynamics

Transonic Flow