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Finite Element Postdoctoral Jobs (NOW HIRING)

... postdoctoral training. Ideal candidates should have a strong background and/or experience with mechanisms and mechanical design, computational modeling (including finite element analysis and ...

About the Opportunity The Postdoc will be working on multidisciplinary research projects in the ... Knowledge of simulation tools (e.g., Multiphysics finite element analysis, Matlab, Labview etc ...

Use finite element analysis (FEA) to support product design, failure analysis, manufacturing ... postdoctoral research experience may also be considered * Experience developing constitutive ...

Use finite element analysis (FEA) to support product design, failure analysis, manufacturing ... postdoctoral research experience may also be considered * Experience developing constitutive ...

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Finite Element Postdoctoral information

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$25K

$59K

$83.5K

How much do finite element postdoctoral jobs pay per year?

As of Jun 6, 2026, the average yearly pay for finite element postdoctoral in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are Finite Element Postdoctoral positions?

Finite Element Postdoctoral positions are advanced research roles for individuals who have recently earned a Ph.D. and specialize in the finite element method (FEM), a computational technique used to solve complex engineering and physical problems. These positions typically involve conducting original research, developing new FEM algorithms, or applying FEM to real-world problems in fields such as mechanical engineering, materials science, or biomechanics. Postdocs often collaborate with faculty, publish findings in academic journals, and may also mentor graduate students. The goal is to further expertise in FEM while contributing valuable research to the scientific community.

What types of projects and collaborations can a Finite Element Postdoctoral researcher expect to be involved in?

As a Finite Element Postdoctoral researcher, you will typically work on a variety of cutting-edge research projects applying finite element methods to solve complex engineering or scientific problems. These projects often involve close collaboration with faculty advisors, graduate students, and sometimes industry partners or interdisciplinary research teams. You may contribute to developing new computational models, running simulations, analyzing data, and publishing findings. The role often requires regular meetings to discuss progress and troubleshoot challenges, providing valuable opportunities for skill development and professional networking.

What are the key skills and qualifications needed to thrive as a Finite Element Postdoctoral researcher, and why are they important?

To thrive as a Finite Element Postdoctoral researcher, you need a Ph.D. in engineering, applied mathematics, or a related field, with strong expertise in finite element analysis (FEA) and computational modeling. Proficiency in FEA software (such as ANSYS, ABAQUS, or COMSOL), programming languages (like Python or MATLAB), and experience with high-performance computing are typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for presenting complex technical results and collaborating within research teams. These skills and qualifications are crucial for advancing innovative research, accurately interpreting simulation data, and contributing to scientific progress in engineering and materials science.
Infographic showing various Finite Element Postdoctoral job openings in the United States as of May 2026, with employment types broken down into 16% Full Time, and 84% Part Time. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Research Scientist (Computational Mechanics and Machine Learning for Cardiovascular ...

Postdoctoral Research Scientist (Computational Mechanics and Machine Learning for Cardiovascular ...

Baylor University

Waco, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Baylor University rating

7.2

Company rating: 7.2 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

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Job description

Job Description
A humble college founded before Texas was a state, Baylor now stands as one of the premier institutions of higher education in the world. Baylor has continued to invest in research and doctoral education, both solidifying and elevating its unique status as a preeminent Christian research university. Baylor is among 187 R1 institutions, just 52 of which are private universities.
Since 2011, Baylor has been named as one of the nation's "Great Colleges to Work For". Great Colleges to Work For® is one of the country's largest and most respected workplace recognition programs. Each year, Great Colleges recognizes the colleges and universities that get top employee ratings regarding workplace practices and policies across 10 areas. This recognition is based on faculty and staff responses to a related annual survey. The survey, conducted by ModernThink, is a way for colleges and universities to gain a deeper understanding of how their employees experience and view various aspects of the institution. This continued recognition further affirms Baylor as a rewarding place to build a career.
What We Are Looking For
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.
Preferred qualifications include:
  • 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

What You Will Do
  • 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

A complete application will contain the following documents:
  • Up-to-date CV
  • Contact information for two professional references
  • Cover letter detailing research background and interest in the position

What You Can Expect
As part of the Baylor family, eligible employees receive a comprehensive benefits package that includes medical, dental, and vision insurance, generous time off, tuition remission, and outstanding automatic retirement contributions. Baylor has a comprehensive benefits plan that supports you and your family's wellbeing and allows you to be a part of the life of a vibrant and active college campus. To learn more, go to Baylor Benefits & Advantages.
Explore & Engage
Learn more about Baylor and our strategic vision, Baylor in Deeds. Also, explore our great hometown of Waco and the many opportunities to engage locally. If you are new to Central Texas, This is Waco!
About Us
Baylor University, a private not-for-profit university affiliated with the Baptist General Convention of Texas, is committed to compliance with all applicable anti-discrimination laws, including those regarding age, race, color, sex, national origin, military service, genetic information, and disability. Baylor complies with statutory Affirmative Action/Equal Opportunity requirements. Baylor's full official Notice of Non-Discrimination may be read online.

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