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System Engineer Phd Jobs in Kentucky (NOW HIRING)

Together, you'll develop and enhance Instacart's marketplace systems. You will use machine learning ... Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations ...

Together, you'll develop and enhance Instacart's marketplace systems. You will use machine learning ... Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations ...

Together, you'll develop and enhance Instacart's marketplace systems. You will use machine learning ... Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations ...

Together, you'll develop and enhance Instacart's marketplace systems. You will use machine learning ... Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations ...

Together, you'll develop and enhance Instacart's marketplace systems. You will use machine learning ... Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations ...

Showing results 21-40

System Engineer Phd information

See Kentucky salary details

$46.5K

$110.5K

$145K

How much do system engineer phd jobs pay per year?

As of Aug 9, 2026, the average yearly pay for system engineer phd in Kentucky is $110,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $136,400.00 per year, depending on experience, location, and employer.

What are common challenges system engineer PhDs face when transitioning from academia to industry roles?

System Engineer PhDs often encounter challenges when shifting from academic research to industry, such as adapting to faster project timelines and working within cross-functional teams. In industry, there is typically a greater emphasis on practical application and collaboration, rather than theoretical exploration. Adjusting to structured workflows and aligning technical solutions with business objectives are also key transitions. However, this environment offers opportunities to see the tangible impact of your work and to advance into senior technical or leadership roles.

What is the difference between System Engineer Phd vs Network Engineer?

AspectSystem Engineer PhdNetwork Engineer
Required CredentialsPhd in Engineering or related field, possibly with certifications like Cisco or CompTIAAssociate's or Bachelor's in Computer Science or related, with certifications like Cisco CCNA or CCNP
Work EnvironmentResearch labs, R&D departments, or advanced technical teams in tech companiesNetwork operations centers, IT departments, or telecommunications firms
Employer & Industry UsageResearch institutions, tech companies, or organizations requiring advanced system designTelecom providers, enterprise IT, or service providers

The main difference between a System Engineer Phd and a Network Engineer lies in their focus and qualifications. System Engineers with a Phd typically engage in advanced system design, research, and development, often in research or high-tech environments. Network Engineers focus on designing, implementing, and maintaining network infrastructure, usually with industry certifications. Both roles are essential in tech industries but serve different technical needs and expertise levels.

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

To thrive as a System Engineer PhD, you need advanced knowledge of systems engineering principles, research methodologies, and typically a doctorate in engineering or a related field. Familiarity with modeling and simulation tools (e.g., MATLAB, Simulink), systems engineering software (e.g., IBM DOORS), and relevant industry certifications are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you lead complex projects and collaborate with multidisciplinary teams. These skills and qualifications are essential for driving innovation, ensuring robust system design, and successfully managing sophisticated engineering challenges.

What is a system engineer PhD?

System Engineer PhDs are professionals who have earned a doctoral degree (PhD) in systems engineering or a closely related field. They specialize in designing, analyzing, and managing complex systems across various industries, such as aerospace, defense, IT, and manufacturing. Their advanced education enables them to conduct research, develop innovative solutions, and lead multidisciplinary teams to tackle large-scale engineering challenges. System Engineer PhDs often work in academia, research institutions, or high-level industry roles, focusing on optimizing system processes and integration.

What can I do with a PhD in system engineer?

A PhD in system engineering prepares individuals for advanced roles in research, development, and systems design across industries such as aerospace, defense, technology, and manufacturing. Graduates often work as systems engineers, research scientists, or technical consultants, utilizing skills in systems analysis, modeling, and simulation, and may pursue careers in academia or industry innovation.
What cities in Kentucky are hiring for System Engineer Phd jobs? Cities in Kentucky with the most System Engineer Phd job openings:

Mechanical Engineering Expert, CAD, CFD & FEA

Braintrust

Alexandria, KY

$30 - $90/hr

Full-time

Posted 3 days ago

New


Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams. Job description

Final rate depends on location, qualifications and experience


We are seeking a Mechanical Engineering expert with advanced CAD, Computational Fluid Dynamics (CFD) and FEA experience to support a leading AI lab developing next-generation engineering AI models. In this project-based role, you will review, annotate, and evaluate highly technical engineering content, applying your domain expertise to ensure the accuracy and quality of datasets used for AI training.

Key Responsibilities
  • Annotate and review CAD models, engineering drawings, and technical diagrams.
  • Evaluate mechanical engineering and CFD/FEA datasets for technical accuracy and consistency.
  • Perform quality control (QC) on expert annotations and identify engineering errors.
  • Provide subject matter expertise to refine evaluation guidelines and improve dataset quality.
Required Qualifications
  • Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
  • Strong CAD experience (e.g., SolidWorks, CATIA, NX, Creo, Fusion 360, or similar).
  • 5+ years of professional experience.
  • Hands-on meshing experience with Gmsh or snappyHexMesh.
  • Hands-on CFD/FEA simulation experience with OpenFOAM or FEA tools like CalculiX (or similar).
  • Strong ability to interpret technical drawings, assemblies, and mechanical systems.
  • Domain expertise in one or more of the following:
    • Aerodynamics/aerospace
    • Reacting flows
    • Solid mechanics / structural deformation
    • Fluid-structure interaction (FSI)
    • Heat transfer
    • Chemically reacting flows
    • Multiphase flows
    • FEA
  • Fluent in English; French is a strong plus.
Nice to Have
  • Experience with FEM tools such as FEniCS.