Postdoctoral Research Scientist (Computational Mechanics and Machine Learning for Cardiovascular Devices)

Baylor University • Waco, TX

2d

About The Position

Professor Brent Craven in the Department of Mechanical Engineering at Baylor University is seeking a highly motivated Postdoctoral Research Associate with a strong background in cardiovascular computational mechanics and machine learning. The successful candidate will lead research efforts in two primary areas:

1. Computational Mechanics: Applying advanced finite element analysis (FEA) and
fluid-structure interaction (FSI) models of the cardiovascular system and
medical devices
2. Machine Learning (ML): Developing and applying ML-based surrogate modeling
for accelerating predictions from cardiovascular computational mechanics
simulations

This position offers a unique opportunity to work at the leading edge of computational mechanics and machine learning applied to cardiovascular medical devices.

A Doctoral degree is required.

Requirements

• A Doctoral degree is required.

Nice To Haves

• Ph.D. in Mechanical Engineering, Biomedical Engineering, Computational Science, or a related field
• Expertise in computational mechanics modeling using commercial (e.g., Abaqus) and/or open-source software (e.g., OpenFOAM, IBAMR)
• Demonstrated experience with machine learning
• Strong programming proficiency in Python and C++
• Substantial experience working in Linux environments and utilizing High-Performance Computing (HPC) resources

Responsibilities

• Applying advanced finite element analysis (FEA) and fluid-structure interaction (FSI) models of the cardiovascular system and medical devices
• Developing and applying ML-based surrogate modeling for accelerating predictions from cardiovascular computational mechanics simulations
• Perform all other duties as assigned to support Baylor’s mission
• Ability to comply with university policies
• Maintain regular and punctual attendance

Benefits

• medical, dental, and vision insurance
• generous time off
• tuition remission
• outstanding automatic retirement contributions

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 501-1,000 employees