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Adrián Buganza Tepole

Top university

3 weeks ago

Postdoctoral Research Scientists in Data-Driven Constitutive Modeling, AI-Driven Material Design, and Soft Tissue Biomechanics Columbia University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Columbia University

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Keywords

Computer Science
Biomedical Engineering
Mechanical Engineering
Materials Science
Biology
Transport Phenomena
Computational Mechanics
Tissue Mechanics
Skin
Machine learning

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About this position

Columbia University’s Tepole Lab is hiring two postdoctoral research scientists in mechanical engineering, computational mechanics, biomechanics, materials science, and scientific machine learning.

Position 1: Data-driven constitutive modeling and AI-driven material design for multiscale materials that lack scale separation and exhibit dissipative behavior. The work involves developing novel homogenization methods, micromorphic theories, and physics-constrained machine learning models for simulation and inverse design.

Position 2: Coupled physics of soft tissues, focusing on the interplay of mechanics, transport, and thermal effects in soft biological tissue, especially skin. This role also relies on physics-augmented machine learning methods.

The Tepole Lab describes a collaborative environment and welcomes applicants with expertise in scientific machine learning, computational mechanics, and/or biomechanics. Columbia MechE is located in New York City.

To apply, email Prof. Adrian Buganza Tepole with a CV and the names and email addresses of three references.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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