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Phd Cfd Computational Engineer Jobs in Raleigh, NC

... or PhD in Biomedical Engineering, Mechanical Engineering, Computational Biology, Applied ... Computational fluid dynamics (CFD). * Cardiovascular modeling. * Digital twins. * Multiscale ...

Biomedical Modeler

Carrboro, NC · On-site

$110K - $150K/yr

... or PhD in Biomedical Engineering, Mechanical Engineering, Computational Biology, Applied ... Computational fluid dynamics (CFD). * Cardiovascular modeling. * Digital twins. * Multiscale ...

Biomedical Modeler

Carrboro, NC · On-site

$110K - $150K/yr

... or PhD in Biomedical Engineering, Mechanical Engineering, Computational Biology, Applied ... Computational fluid dynamics (CFD). * Cardiovascular modeling. * Digital twins. * Multiscale ...

PhD to expect in one year, or PhD completed in the last 1-3 years, in a quantitative discipline, such as Computational Biology, Computer Science, Biomedical Engineering, Electrical Engineering, Data ...

Preferred qualifications: • PhD to expect in one year, or PhD completed in the last 1-3 years, in a quantitative discipline, such as Computational Biology, Computer Science, Biomedical Engineering ...

Postdoctoral

Chapel Hill, NC

$41K - $56K/yr

... programming skills. Experience with developing and maintaining large databases is a plus ... computational tools and methods for chemical and biological data mining.PhD in Bioinformatics or ...

A PhD degree is required. Preferred Qualifications: * Experience with mathematical, computational ... Science, Engineering, Physics, Epidemiology, Network Science, or a related quantitative field

A PhD degree is required. Preferred Qualifications: * Experience with mathematical, computational ... Science, Engineering, Physics, Epidemiology, Network Science, or a related quantitative field

A PhD degree is required. Preferred Qualifications: * Experience with large-scale or high ... Demonstrate strong computational and statistical training, including experience with complex data ...

A PhD degree is required. Preferred Qualifications: * Experience with large-scale or high ... Demonstrate strong computational and statistical training, including experience with complex data ...

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Phd Cfd Computational Engineer information

See Raleigh, NC salary details

$10.7K

$90.4K

$128.3K

How much do phd cfd computational engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for phd cfd computational engineer in Raleigh, NC is $90,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $106,900.00 per year, depending on experience, location, and employer.

What are typical collaboration opportunities for a PhD CFD computational engineer within a multidisciplinary team?

As a PhD CFD Computational Engineer, you frequently collaborate with mechanical engineers, software developers, and experimental scientists to ensure simulation models accurately reflect real-world scenarios. You may work closely with design teams to optimize product performance based on CFD results, and with IT specialists to implement high-performance computing solutions. Effective communication and teamwork are vital, as your input often influences design choices, testing procedures, and project timelines.

What is the difference between Phd Cfd Computational Engineer vs Mechanical Engineer?

AspectPhd Cfd Computational EngineerMechanical Engineer
Required CredentialsPhD in Mechanical Engineering, Aerospace, or related field; CFD certificationsBachelor's or Master's in Mechanical Engineering; some roles may require certifications
Work EnvironmentResearch labs, simulation centers, aerospace or automotive industriesDesign offices, manufacturing plants, R&D departments
Industry UsageSpecialized CFD modeling, simulation, and analysis for fluid dynamics problemsDesign, analysis, and testing of mechanical systems, including fluid systems

The main difference is that Phd Cfd Computational Engineers focus on advanced fluid dynamics simulations and research, often requiring a PhD and specialized CFD expertise. Mechanical Engineers have a broader scope, including design and manufacturing, with less emphasis on specialized CFD work. Both roles are vital in industries like aerospace, automotive, and energy, but they differ in their focus and level of specialization.

What is a PhD CFD computational engineer?

A PhD CFD Computational Engineer is an expert who holds a doctoral degree and specializes in Computational Fluid Dynamics (CFD). They use advanced mathematics, physics, and computer simulations to analyze fluid flows and related physical phenomena. These engineers develop and apply CFD models to solve complex engineering problems in industries such as aerospace, automotive, and energy. Their work often involves research, code development, and optimization of fluid systems to improve performance and efficiency.

What are the key skills and qualifications needed to thrive as a PhD CFD computational engineer, and why are they important?

To thrive as a PhD CFD Computational Engineer, you need deep expertise in fluid dynamics, numerical methods, and advanced programming, typically backed by a doctoral degree in engineering or a related field. Familiarity with CFD software (such as ANSYS Fluent, OpenFOAM), high-performance computing environments, and coding languages like C++ or Python is essential. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable you to develop accurate simulations, interpret complex data, and collaborate effectively on multidisciplinary engineering projects.
What are popular job titles related to Phd Cfd Computational Engineer jobs in Raleigh, NC? For Phd Cfd Computational Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Phd Cfd Computational Engineer jobs? Cities near Raleigh, NC with the most Phd Cfd Computational Engineer job openings:
Infographic showing various Phd Cfd Computational Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% Locum Tenens, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $90,418 per year, or $43.5 per hour.

$110K - $150K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 13 days ago


Job description

Team Description: 
Kitware is seeking a Biomedical Modeler to join the Computer Vision team. In this role, you'll develop computational models of biological systems that support cutting-edge research in medical imaging, biomechanics, physiology, and digital health. You'll work closely with software developers, AI researchers, clinicians, and domain scientists to create validated models that answer challenging scientific and clinical questions. 
 
About the Projects:
Kitware's employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware's work involves applying state-of-the-art artificial intelligence and mechanistic modeling approaches to dynamic, real-world problems. We consider the work that we do on our government contracts as one of the ways that we give back to the community. We partner with premier government R&D agencies such as DARPA, IARPA, ARPA-H, DHA, AFRL, Army C5ISR, NOAA, and other branches of the US Government on a range of efforts, including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities and to provide effective, flexible, and high-quality technical solutions.
In This Position You Will:
  • Develop computational and mathematical models of the human body and human physiology.
  • Create patient-specific models using medical imaging data (CT, MRI, ultrasound, microscopy, etc.).
  • Design and implement biomechanical, physiological, or multi-physics simulations.
  • Collaborate with software engineers to integrate models into research software and production applications.
  • Validate models using experimental or clinical data.
  • Work directly with clinicians, researchers, and sponsors to understand technical requirements.
  • Publish research findings in peer-reviewed journals and present at scientific conferences.
  • Contribute to Kitware's open source software ecosystem.
Required Qualifications:
  • Master's degree + 2 years of experience or PhD in Biomedical Engineering, Mechanical Engineering, Computational Biology, Applied Mathematics, Bioengineering, or a related field.
  • Experience developing computational or mathematical models of the human body.
  • Strong programming skills in C++ or Python (C++ preferred).
  • Experience with scientific computing and numerical methods.
  • Familiarity with medical imaging and image processing.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work collaboratively in multidisciplinary research teams.
  • Due to contractual requirements, only U.S. citizens will be considered for this position.
  • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance.
Preferred Qualifications:
  • Familiarity with the Pulse Physiology Engine.
  • Finite Element Analysis (FEA).
  • Biomechanics.
  • Computational fluid dynamics (CFD).
  • Cardiovascular modeling.
  • Digital twins.
  • Multiscale modeling.
  • Medical image segmentation and registration.
  • AI or machine learning applied to biomedical data.
  • Grant proposal development and sponsored research.
$110,000 - $150,000 a year
Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.  
 
Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified.  
 
Additional Information:
Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. 
 
For more information on our benefit offerings please visit: https://www.kitware.com/careers/.
 
Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. 
 
Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property.  Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees.
 
If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at [email protected] at any time during the hiring process. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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