Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... Utilize open-source computational tools like FEniCSx/DOLFINx , OpenFOAM , and others for problem ...
Quick apply
Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... Utilize open-source computational tools like FEniCSx/DOLFINx , OpenFOAM , and others for problem ...
Computational Mechanics Expert - PhD
New York, NY · Remote
$70 - $85/hr
Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... Utilize open-source computational tools like FEniCSx/DOLFINx , OpenFOAM , and others for problem ...
Quick apply
Computational Mechanics Expert - PhD
New York, NY · Remote
$70 - $85/hr
Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... Utilize open-source computational tools like FEniCSx/DOLFINx , OpenFOAM , and others for problem ...
Computational Mechanics Expert - PhD
New York, NY · Remote
$70 - $85/hr
Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... DOLFINx , OpenFOAM , deal.II , and others. * Evaluate AI models by testing them against ...
Quick apply
Computational Mechanics Expert - PhD
New York, NY · Remote
$70 - $85/hr
Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational ... DOLFINx , OpenFOAM , deal.II , and others. * Evaluate AI models by testing them against ...
Remote Openfoam information
What is a remote OpenFOAM?
A Remote OpenFOAM job refers to a position in which professionals use OpenFOAM, an open-source computational fluid dynamics (CFD) software, to perform simulations and analyses from a remote location rather than on-site. These roles typically involve tasks such as setting up CFD models, running simulations, post-processing results, and collaborating with teams or clients online. Remote OpenFOAM jobs are common in industries like engineering, automotive, aerospace, and research, offering flexibility in location while working on complex fluid dynamics problems. Candidates for these roles usually require strong computational skills, experience with OpenFOAM, and the ability to communicate effectively in a virtual environment.
What are the key skills and qualifications needed to thrive as a remote OpenFOAM engineer?
To thrive as a Remote OpenFOAM Engineer, you need a strong background in computational fluid dynamics (CFD), programming (e.g., C++), and a relevant engineering or science degree. Proficiency with OpenFOAM software, Linux operating systems, and version control tools like Git is typically required. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills for remote collaboration and project management. These skills ensure accurate simulations, efficient workflow, and successful teamwork in distributed engineering environments.
What are some common challenges faced by remote OpenFOAM engineers, and how can they be effectively managed?
Remote OpenFOAM engineers often encounter challenges related to collaboration and accessing high-performance computing resources. Since computational fluid dynamics projects can require significant computational power, it's important to ensure you have reliable remote access to servers or cloud-based HPC environments. Effective communication with team members, regular updates, and clear documentation help overcome the barriers of working remotely. Utilizing collaborative tools and version control systems also streamlines teamwork and project management, ensuring your contributions integrate smoothly with the overall workflow.
What is the difference between Remote Openfoam vs Remote CFD Engineer?
| Aspect | Remote Openfoam | Remote CFD Engineer |
|---|---|---|
| Required credentials | Knowledge of OpenFOAM, engineering background | CFD software proficiency, engineering degree |
| Work environment | Remote, computational modeling | Remote, simulation and analysis |
| Industry usage | Research, academia, engineering firms | Engineering, aerospace, automotive |
Remote Openfoam focuses on using the OpenFOAM software for computational fluid dynamics tasks, often requiring specific software knowledge. Remote CFD Engineer covers a broader range of CFD tools and applications, with similar credentials. Both roles are remote and industry-relevant, but Remote Openfoam is more specialized in OpenFOAM software, while Remote CFD Engineer may involve multiple CFD platforms.
What are the most commonly searched types of Openfoam jobs in New York?
The most popular types of Openfoam jobs in New York are:
What are popular job titles related to Remote Openfoam jobs in New York?
For Remote Openfoam jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Openfoam jobs in New York look for?
The top searched job categories for Remote Openfoam jobs in New York are:
What cities in New York are hiring for Remote Openfoam jobs?
Cities in New York with the most Remote Openfoam job openings:
$85/hr
Full-time
Posted 7 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 evaluate AI capabilities in scientific research.
- Develop problems requiring AI to execute complex workflows using specialized scientific software.
- Test and refine problems against state-of-the-art AI models to achieve the desired difficulty.
- Collaborate independently to improve problem designs and ensure strategic reasoning.
- Utilize open-source computational tools like FEniCSx/DOLFINx, OpenFOAM, and others for problem creation.
Qualifications
Must-Have
- Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
- Proven proficiency with scientific software libraries through research publications or professional work.
- Strong Python skills for writing problem setups and solution validators.
- Ability to work independently and refine designs based on feedback.
- Comfortable 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.