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Phd Electrical Engineer Jobs in Rochester Hills, MI

Ford Motor

Hardware Engineer

Dearborn, MI · On-site

$99.60 - $192.90/hr

Bachelor's degree in Electrical Engineering or a similar technical field. 3+ years of experience in ... PhD with 3+ years of relevant hardware/SI experience, or Master's degree with 7+ years of relevant ...

Ford Motor Company

Hardware Engineer

Dearborn, MI · On-site

$114K - $150K/yr

Bachelor's degree in Electrical Engineering or a similar technical field. * 3+ years of experience ... PhD with 3+ years of relevant hardware/SI experience, or Master's degree with 7+ years of relevant ...

OpTech

Scientist-Research Engineer (ML)

Dearborn, MI · On-site

Master''s degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer ... PhD in a related technical field. * Experience in Automotive, Connected Vehicle, EV, Controls ...

Dtna

Mechanical Product Design Engineer II

Detroit, MI · Hybrid

$90K - $115K/yr

Master of Science or PhD in Mechanical Engineering, Electrical Engineering, Electrical Computer Engineering, Mechatronic Engineering, Electrical Engineering Technology (ABET Accredited University ...

Ford Motor Company

Hardware Engineer

Dearborn, MI

$99K - $192K/yr

Bachelor's degree in Electrical Engineering or a similar technical field. * 3+ years of experience ... PhD with 3+ years of relevant hardware/SI experience, or Master's degree with 7+ years of relevant ...

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Showing results 21-40

All JobsPhd Electrical Engineer JobsPhd Electrical Engineer Jobs in Rochester Hills, MI

Phd Electrical Engineer information

See Rochester Hills, MI salary details

$46.5K

$102.3K

$154.6K

How much do phd electrical engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for phd electrical engineer in Rochester Hills, MI is $102,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,400.00 and $121,500.00 per year, depending on experience, location, and employer.

What does a PhD electrical engineer do?

A PhD Electrical Engineer conducts advanced research, designs, and develops electrical systems or components, often pushing the boundaries of technology. They may work in academia, leading research projects and teaching, or in industry, developing innovative solutions for complex engineering problems. Their expertise is critical in areas like communications, power systems, electronics, and signal processing. PhD-level engineers also contribute to scientific publications and may secure patents for new inventions.

What are the key skills and qualifications needed to thrive as a PhD electrical engineer?

To thrive as a PhD Electrical Engineer, you need advanced expertise in electrical engineering principles, research methodologies, and a doctoral degree in the field. Proficiency with simulation software (such as MATLAB or SPICE), programming languages, and laboratory equipment is commonly required, along with experience in publishing academic research. Strong analytical thinking, problem-solving, and effective communication skills help you excel in both collaborative and independent research environments. These abilities are crucial for driving innovation, advancing technology, and contributing valuable insights in both academic and industry settings.

What are some common challenges faced by PhD electrical engineers when transitioning from academia to industry roles?

PhD Electrical Engineers often encounter challenges such as adapting to faster-paced project timelines, aligning research expertise with immediate business needs, and working within multidisciplinary teams. Unlike academic environments that may prioritize theoretical advances, industry roles usually focus on practical applications, product development, and measurable outcomes. Building strong communication skills and learning to collaborate with professionals from non-engineering backgrounds can help ease this transition and foster career growth.

What is the difference between Phd Electrical Engineer vs Electrical Engineer?

AspectPhd Electrical EngineerElectrical Engineer
Required CredentialsPhD in Electrical Engineering or related fieldBachelor's or Master's in Electrical Engineering
Work EnvironmentResearch labs, academia, R&D departmentsDesign, development, and testing in industry or construction
Employer & Industry UsageUniversities, research institutions, high-tech companiesManufacturers, utility companies, consulting firms

The main difference between a Phd Electrical Engineer and an Electrical Engineer lies in their education level and typical work environment. A Phd Electrical Engineer usually holds a doctoral degree and focuses on research, development, and advanced problem-solving, often in academia or R&D. In contrast, an Electrical Engineer typically has a bachelor's or master's degree and works on practical design, implementation, and maintenance in industry settings.

What are popular job titles related to Phd Electrical Engineer jobs in Rochester Hills, MI?

For Phd Electrical Engineer jobs in Rochester Hills, MI, the most frequently searched job titles are:

What job categories do people searching Phd Electrical Engineer jobs in Rochester Hills, MI look for?

The top searched job categories for Phd Electrical Engineer jobs in Rochester Hills, MI are:

What cities near Rochester Hills, MI are hiring for Phd Electrical Engineer jobs?

Cities near Rochester Hills, MI with the most Phd Electrical Engineer job openings:

Phd Electrical Engineer jobs near you
Infographic showing various Phd Electrical Engineer job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 76% Full Time, 12% Temporary, and 12% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,254 per year, or $49.2 per hour.

Automotive Propulsion Software Research Engineer

Lorven Technologies

Warren, MI • On-site

Full-time

Re-posted 19 days ago

Job description

Role: Automotive Propulsion Software Research Engineer
Location: Fully onsite. Warren, MI
Contract role
Job description:
Develop an LLM and agent based assistant to automate simulation setup, run deck generation, boundary condition/mesh recommendations, results review, and requirements alignment across 1D/3D tools (e.g., GT POWER/Simcenter Amesim, ANSYS/STAR CCM+, MATLAB/Simulink).
Surrogate Modeling & Automated Design Space Exploration (DSE): Build physics informed ML surrogates for key propulsion performance metrics (e.g., torque, BSFC/efficiency, thermal limits, emissions proxies, e drive efficiency maps) and integrate them with active learning data generation and multi objective optimization
MS or PHD in Computer Science, Computer Engineering, or Electrical Engineering
Skillset: Python programming (critical); Experience in AI/ML, preferably Generative AI (critical); familiarity with embedded software development lifecycle and systems engineering activities
• System architecture covering data sources (requirements, prior studies, PLM), tools (1D/3D solvers), and results storage (Lakehouse).
• Document parsing pipelines for requirements/specs/test plans; establish content normalization (Markdown/JSON).
• Agent workflows for: interpreting change requests, proposing simulation plans, generating run decks/templates, mesh/BC suggestions, and automated post processing.
• Chat + form based UI to request studies, generate inputs, and review outputs.
• Integration with Databricks (Lakehouse, MLflow, Model Serving) for versioning, observability, and scalable compute.
• Define target responses (e.g., torque map, efficiency map, pressure ratios, temperatures, emissions proxies), inputs (geometry/controls/operating points), and constraints.
• Data model and schema for simulation inputs/outputs; provenance and UQ metadata.
• Orchestrate solver sweeps (1D/CFD/FEA where applicable) to seed the dataset.
• Implement adaptive sampling/active learning to target high value points that reduce model error.
• Train candidate surrogates (e.g., GPR, XGBoost/TabNet, feedforward NNs, physics informed NNs).
• Cross validation, error budgets, calibration; uncertainty quantification and guardbanding.
• Integrate surrogates with DSE (e.g., Bayesian Optimization, NSGA II) to target objectives (efficiency/BSFC, mass, cost, thermal margins) under constraints (emissions/temperature/packaging).
• Optional coupling to MDAO toolchains (e.g., ModelCenter/HEEDS/Simcenter).
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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