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Remote Postdoc Computational Mechanics Jobs (NOW HIRING)

Mercor

Computational Mechanics Expert - PhD

New York, NY · Remote

$70 - $85/hr

Computational Structural & Mechanical Engineering Expert Type: Contract Compensation: $70-$85/hour ... Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... computational mechanics * A strong publication record, preferably including at least three first ...

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How much do remote postdoc computational mechanics jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote postdoc computational mechanics in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is a remote postdoc in computational mechanics?

A Remote Postdoc in Computational Mechanics is a postdoctoral researcher who works primarily online, focusing on the study and simulation of mechanical systems using computational methods. This role involves developing and applying numerical models and algorithms to solve complex problems in fields like structural engineering, materials science, and biomechanics. Remote postdocs collaborate with research teams, contribute to publications, and may also mentor students, all while working from a location outside the traditional university or laboratory setting. This arrangement provides flexibility and access to international collaborations, but also requires strong self-motivation and effective virtual communication skills.

What are the key skills and qualifications needed to thrive as a remote postdoc in computational mechanics?

To thrive as a Remote Postdoc in Computational Mechanics, you typically need a PhD in engineering, physics, or a related field with expertise in mechanics, mathematical modeling, and numerical analysis. Proficiency with programming languages (such as Python, C++, or MATLAB), high-performance computing environments, and simulation software like ABAQUS or ANSYS is crucial. Strong problem-solving abilities, self-motivation, and effective communication skills help you collaborate remotely and publish research findings. These competencies ensure you can independently drive advanced research, contribute to interdisciplinary teams, and advance knowledge in computational mechanics.

How does a remote postdoc in computational mechanics typically collaborate with research teams and supervisors?

Remote postdocs in computational mechanics usually collaborate through regular virtual meetings, shared code repositories, and cloud-based data platforms. Effective communication is essential, as you may work with interdisciplinary teams spanning different time zones. Many institutions provide access to collaborative tools and encourage participation in virtual seminars or joint projects. Staying proactive in communication and documentation helps maintain strong connections with supervisors and lab members. This remote setup can also foster international collaborations and broaden your professional network.
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Remote Postdoc Computational Mechanics jobs near you
Infographic showing various Remote Postdoc Computational Mechanics job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 78% Full Time, 16% Part Time, 2% Contract, and 2% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Computational Mechanics Expert - PhD

Mercor

New York, NY • Remote

$70 - $85/hr

Full-time

Posted 4 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Structural & Mechanical Engineering Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
  • Develop problems requiring skilled use of open-source, domain-specific computational tools like FEniCSx/DOLFINx, OpenFOAM, deal.II, and others.
  • Evaluate AI models by testing them against state-of-the-art benchmarks and refine problems to achieve the desired difficulty.
  • Collaborate with AI research teams to improve problem designs and ensure they test strategic reasoning and problem-solving.
  • Work independently and asynchronously to meet deadlines and refine problem designs based on feedback.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one of the listed scientific software libraries through research publications, open-source contributions, or professional work.
  • Strong Python skills for writing problem setups, oracle functions, and solution validators.
  • Ability to work independently and refine problem designs based on feedback.
  • Comfortable working in a Linux/terminal environment with remote compute sandboxes.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.