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Phd Cfd Computational Engineer Jobs in Arizona (NOW HIRING)

Master's or PhD degree in Chemical Engineering, Materials Science, Electrical Engineering, or ... Training in CFD (computational fluid dynamics), either theoretical or practical is preferred.

Master's or PhD degree in Chemical Engineering, Materials Science, Electrical Engineering, or ... Training in CFD (computational fluid dynamics), either theoretical or practical is preferred.

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Phd Cfd Computational Engineer information

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 Arizona?

For Phd Cfd Computational Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Phd Cfd Computational Engineer jobs in Arizona look for?

The top searched job categories for Phd Cfd Computational Engineer jobs in Arizona are:

What cities in Arizona are hiring for Phd Cfd Computational Engineer jobs?

Cities in Arizona with the most Phd Cfd Computational Engineer job openings:

Infographic showing various Phd Cfd Computational Engineer job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Process Engineer - Korean, Japanese, or Mandarin Speaking

ASM

Phoenix, AZ • On-site

$103K - $133K/yr

Full-time

Re-posted 8 days ago


Job description

As a Senior Process Engineer at ASM, you will work with semiconductor processing and analytical equipment to research, develop and optimize processes focused on oxidation, annealing, curing, Atomic Layer Deposition (ALD) for logic, memory, analog, power, and MEMS applications. You will design and conduct complex experiments, measurements and perform the interpretation of complex experimental output. While you deliver creative and inventive solutions, technical publications, and generation of Intellectual Property (IP) are an essential function of this position. This position requires Korean, Japanese or Mandarin speaking skills.

Key Responsibilities 

  • Creative problem solver with experience in developing new films for emerging applications and experience in chemistry/materials characterization.
  • Works with semiconductor processing equipment to research, develop and optimize unit processes focused on the deposition of metal and dielectric films via ALD.
  • Bringing innovative ideas, staying abreast of state-of-the-art processing applications in the semiconductor industry to be effective.
  • Process consulting and accountability including technical papers on advanced process applications and Intellectual Property creation.
  • Participates in and drives technical problem-solving sessions using the related scientific method and industry tools, such as Ishikawa diagrams.
  • Designs and conducts experiments, in addition to measuring and interpreting experimental output, aimed at fulfilling stated objectives using Design of Experiments (DOE) and Response Surface Methodology (RSM).
  • Troubleshoots equipment problems and is personally and actively engaged in problem via "hands-on" modalities.
  • Works with customers and central marketing to understand and define requirements to successfully execute and document customer demonstrations.
  • Develops methods and techniques for integrating metal and/or oxide films into existing and future device technologies.
  • Ensures successful product transfer to customer base by performing demonstrations, training field service personnel, traveling to support remote sites (up to 10% travel required), and drafting documentation regarding process development, tool operation and maintenance.
  • Produces technical papers on process, equipment, and device integration improvement strategies and presents to professional audience.
  • You may be assigned supervisory duties over supporting process engineering technicians and aides. These supervisory duties could include direct input into employees' performance evaluations, discipline, and discharge.

Qualifications

  • Master's or PhD degree in Chemical Engineering, Materials Science, Chemistry, or Physics.
  • Experience with Atomic Layer Deposition (ALD)
  • Knowledge of electrical characterization techniques for CMOS devices.
  • Application of dielectric and/or metal films for logic and memory structures.
  • Training in CFD (computational fluid dynamics), either theoretical or practical is preferred.
  • Knowledge of electrical characterization techniques for CMOS devices is preferred.

  Skills

  • Ability to independently manage complex process development projects, including personnel, project schedules, experimental thrusts, hardware procurement and budgetary oversight.
  • Ability to be a process consultant to internal and external customers.
  • An authority on interplay between hardware design (e.g., chemical reactor design) and operation and process outputs
  • Understanding of requirements for integration of metals as work function materials and barrier layers in FEOL and BEOL process flows
  • Demonstrated ability to develop and completely characterize deposition processes using first principles and experimental design techniques (e.g., DOE, RSM).
  • Experience with the theory, practice, and interpretation of materials characterization techniques such as XPS, SIMS, RBS, AFM, XRD, HRTEM, FESEM, Auger, Raman and ellipsometry.
  • Excellent verbal and written communication skills, with ability to clearly communicate advanced technical constructs in direct and concise manner.