Scientific machine learning jobs

Applied AI Engineer - Engineering Simulation & Design Exploration

Bentley Systems · Posted Nov 12, 2026

Open

Philadelphia, Pennsylvania, United States
Hybrid

Apply with RefersoAI Apply on careers page

Applied AI Engineer - Engineering Simulation & Design Exploration

Bentley Systems · Posted Nov 12, 2026

Open

Philadelphia, Pennsylvania, United States
Hybrid

Apply with RefersoAI Apply on careers page

Postdoctoral Scholar

Penn State University · Posted Nov 12, 2026

Open

University Park, Pennsylvania, United States
Full-time · Senior

Apply with RefersoAI Apply on careers page

Postdoctoral Scholar in Computational Geometry

Responsibilities

Conduct research on computationally efficient algorithms for PDEs on free boundary and/or unknown domains
Collaborate with faculty and students in the Department of Mathematics
Teach courses as required

Requirements

Ph.D. in a relevant field

Skills

Computational geometry Scientific machine learning Numerical analysis Dynamical systems Graph neural networks

Benefits

Competitive benefits package for full-time employees

See full job description

Physics-Informed Machine Learning Postdoctoral Researcher

LLNL · Posted Nov 11, 2026

Open

Livermore, California, United States
Hybrid
Temporary · Associate
$123K–$123K per year
0–5 years

Apply with RefersoAI Apply on careers page

Develop and apply advanced computational methods for modeling complex physical systems using physics-informed machine learning.

Compensation

$123,048 Annually

Responsibilities

Develop physics-informed machine-learning methods for computational mechanics and scientific simulation.
Integrate governing equations, conservation laws, boundary conditions, and material constraints into machine-learning models.
Develop, train, validate, and evaluate neural networks, surrogate models, reduced-order models, and other scientific machine-learning methods.
Analyze computational and experimental data to identify physical relationships, model parameters, and constitutive behavior.
Perform computational mechanics simulations using finite-element, finite-volume, or related numerical methods.

Requirements

PhD in computational mechanics
PhD in mechanical engineering
PhD in applied mathematics
PhD in computational science
PhD in physics

Skills

physics-informed machine learning scientific machine learning computational mechanics

Postdoctoral Research Associate

Carnegie Mellon University · Posted Nov 6, 2026

Open

Pittsburgh, Pennsylvania, United States
Full-time · Associate
0–1 years

Apply with RefersoAI Apply on careers page

Assist with development of multiscale computational models in mechanical engineering research.

Responsibilities

Collaborate closely with team members and experimental, computational, and clinical investigators to develop models connecting tissue microstructure and local mechanical and transport processes to emergent tissue-level functions.
Develop fundamentally new computational methods with direct biological and translational impact.
Other tasks as assigned.

Requirements

Doctorate degree

Skills

computational engineering applied mathematics biomechanics biomedical engineering mechanical engineering computer science finite element computational mechanics