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System Engineer Phd Jobs in Tennessee (NOW HIRING)

SAPSOL Technologies Inc.

Medical Engineer

Nashville, TN · On-site

Support deployment and on-scanner integration on Philips MRI systems. * Contribute to related data ... Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering ...

Sapsol Technologies Inc

Medical Engineer

Nashville, TN · On-site

Support deployment and on-scanner integration on Philips MRI systems. * Contribute to related data ... Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering ...

Orano

Electrical I&C Engineer

Oak Ridge, TN · On-site

Advanced degree (MS or PhD) in Electrical Engineering or related field * 5+ years of experience in I&C engineering * Experience in network design and electrical power systems * Familiarity with ...

ORAU

Senior Electrical Engineer

Knoxville, TN · On-site

$92K - $120K/yr

... C) system testing, troubleshooting, and engineering innovation. Headquartered in Knoxville ... Engineers gain mentorship from PhD-level experts, exposure to diverse technical challenges, and ...

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System Engineer Phd information

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$48.6K

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How much do system engineer phd jobs pay per year?

As of Aug 18, 2026, the average yearly pay for system engineer phd in Tennessee is $115,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $142,500.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to System Engineer Phd jobs in Tennessee?

For System Engineer Phd jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching System Engineer Phd jobs in Tennessee look for?

The top searched job categories for System Engineer Phd jobs in Tennessee are:

What cities in Tennessee are hiring for System Engineer Phd jobs?

Cities in Tennessee with the most System Engineer Phd job openings:

System Engineer Phd jobs near you

Medical Engineer

SAPSOL Technologies Inc.

Nashville, TN • On-site

Other

Re-posted 20 days ago

Job description

This role supports the development, integration, and validation of advanced MRI methods across two research workstreams:
  • Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with Vanderbilt University, and
  • FLORET-based UTE imaging (non-Cartesian) in collaboration with Cincinnati Children's Hospital.

The engineer will coordinate program execution while contributing technically to pulse sequence implementation, image reconstruction and software refinement, and data processing within the Philips MRI research environment. The emphasis is on program oversight, technical coordination, and collaborative execution, rather than independent subject-matter leadership in diffusion MRI or FLORET.
Note: This role focuses on technical engagement and delivery. It does not include clinical trial operations or regulatory ownership.
Core Responsibilities
A) Technical Development - Pulse Sequence (OGSE/OGD)
  • Refine and extend existing OGSE pulse sequence code in the Philips research environment.
  • Implement additional features, improve robustness, and ensure correct sequence functionality.
  • Support deployment and on-scanner integration on Philips MRI systems.
  • Contribute to related data processing and image reconstruction workflows when required.

B) Image Reconstruction & Software Development (FLORET / Non-Cartesian)
  • Implement and validate non-Cartesian MRI reconstruction pipelines (including those supporting FLORET UTE acquisitions).
  • Support software deployment and integration of reconstruction tools within Philips research systems.
  • Refine reconstruction workflows, add new features, and improve system interfaces and usability.
  • Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior.

C) Experimental Collaboration & Validation
  • Coordinate experiment planning with Vanderbilt researchers, Cincinnati Children's teams, and clinical MRI staff.
  • Support execution of scanner experiments as needed.
  • Assist with validation of OGSE and FLORET acquisition outputs through systematic testing and comparative analysis.
  • Prepare technical validation summaries/reports and ensure outputs align with program deliverables and milestones.
  • Document results, assumptions, and change histories with strong discipline.

Qualifications
Required
  • Strong familiarity with vendor-specific MRI pulse sequence programming (preferably Philips research environments).
  • Solid foundations in MRI reconstruction, including non-Cartesian methods, and software engineering.
  • Hands-on experience with C++ / Python / MATLAB for algorithm and tooling development.
  • Ability to collaborate effectively across industry and academic partners; clear written and verbal communication.
  • Proven ability to operate under hardware constraints and in structured, sprint-based execution models.

Preferred
  • Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, or related field.
  • Experience with Philips MRI research environments (e.g., research interfaces, integration workflows).
  • Exposure to OGSE/OGD diffusion methods and/or FLORET UTE imaging (deep expertise not required).
  • Experience with MRI data processing, QA/QC, and validation workflows.

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