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Phd In Physics Jobs in Farmington, MI (NOW HIRING)

University of Michigan

RESEARCH FELLOW

Ann Arbor, MI · On-site

PhD in medical physics, nuclear engineering or other engineering or physics disciplines. Applicants with medical degrees with relevant experience will also be considered. * Experience working with ...

Spectrum Health

Research Scientist

Royal Oak, MI · On-site

Research Scientist - Magnetic Resonance requires a PhD degree in medical physics, physics, engineering, or related fields with PhD training in MR research. Research Scientist - Imaging Processing ...

New

Stellantis

ADAS Software Architect

Auburn Hills, MI · On-site

MS or PhD in Applied Physics, Mechanical, Electrical, Aerospace or Computer Engineering from an ABET accredited university. * A minimum of 10 years of related engineering experience with product ...

Stellantis

ADAS Software Architect

Auburn Hills, MI · On-site

MS or PhD in Applied Physics, Mechanical, Electrical, Aerospace or Computer Engineering from an ABET accredited university. * A minimum of 10 years of related engineering experience with product ...

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All JobsPhd In Physics JobsPhd In Physics Jobs in Farmington, MI

Phd In Physics information

See Farmington, MI salary details

$10.8K

$60.2K

$93K

How much do phd in physics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for phd in physics in Farmington, MI is $60,182.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,300.00 and $63,500.00 per year, depending on experience, location, and employer.

What is a PhD in Physics?

A PhD in Physics is the highest academic degree awarded in the field of physics. It involves several years of advanced coursework, independent research, and the completion of a dissertation that contributes original knowledge to the field. Earning a PhD prepares graduates for careers in academia, research, industry, and government, where they can apply their deep understanding of physical principles to solve complex problems. The process typically takes 4-6 years beyond a bachelor's or master's degree.

What are the common career paths available to someone with a PhD in Physics outside of academia?

A PhD in Physics opens doors to a wide range of career paths beyond academia, including roles in industry research and development, data science, finance, technology consulting, and government or national laboratories. Many physicists find rewarding careers in sectors like aerospace, energy, and healthcare, leveraging their problem-solving and analytical skills. Collaboration is often key, as you'll work with interdisciplinary teams of engineers, data analysts, and project managers. Transitioning into these roles may involve learning new tools or adapting to different team structures, but the foundational skills from your PhD are highly valued.

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

To thrive as a PhD in Physics, you need advanced knowledge of physical theories, strong analytical skills, and experience in research methodologies, typically supported by a doctoral degree in physics or a related field. Proficiency with data analysis tools (such as MATLAB or Python), laboratory equipment, and scientific publishing systems is commonly required. Critical thinking, problem-solving, and effective communication are crucial soft skills for presenting complex ideas and collaborating with multidisciplinary teams. These skills and qualities are essential for conducting impactful research, advancing scientific understanding, and succeeding in academic or industry settings.

What is the difference between Phd In Physics vs Physicist?

AspectPhd In PhysicsPhysicist
Required CredentialsDoctoral degree in PhysicsTypically a PhD in Physics or related field
Work EnvironmentResearch labs, universities, academiaResearch institutions, industry, academia
Industry UsageAcademic and research-focused rolesResearch, development, applied physics roles
Search & Comparison IntentUnderstanding academic qualificationsCareer options and job roles

In summary, a Phd In Physics is an academic qualification, while a Physicist is a professional working in research or industry. The Phd is necessary to become a Physicist, but not all Physicists hold a PhD. The roles often overlap in research environments, but the PhD emphasizes education, whereas Physicist roles focus on applying physics principles.

Are physics PhDs employable?

Physics PhDs are highly employable in a variety of fields including academia, research, engineering, data analysis, and technology. They develop skills in problem-solving, quantitative analysis, and technical communication, which are valued across many industries. However, job prospects often depend on specialization, experience, and additional skills such as programming or project management.

Is a PhD in physics worth it?

A PhD in physics prepares individuals for research, academia, and specialized roles that require advanced analytical and problem-solving skills. While it can lead to higher-level positions and increased earning potential, it often involves several years of study and research, and job prospects vary depending on the industry and location.

What can you do with a PhD in physics?

A PhD in physics prepares individuals for careers in research, academia, and industry, including roles such as physicist, research scientist, data analyst, or technical consultant. Graduates often work in laboratories, government agencies, or technology companies, utilizing skills in problem-solving, data analysis, and advanced mathematical modeling.

Where do most physics PhDs work?

Most physics PhDs work in academia as university professors or researchers, in government laboratories conducting scientific research, or in industry roles such as data analysis, engineering, or technology development. They often utilize skills in research, data modeling, and technical problem-solving, and may work in laboratories, research centers, or corporate environments.

What cities near Farmington, MI are hiring for Phd In Physics jobs?

Cities near Farmington, MI with the most Phd In Physics job openings:

Phd In Physics jobs near you
Infographic showing various Phd In Physics job openings in Farmington, MI as of August 2026, with employment types broken down into 76% Full Time, 11% Part Time, and 13% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $60,182 per year, or $28.9 per hour.

Vehicle Prognostics - Applied Data Scientist

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 5 days ago

Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers

Job description


Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.
Responsibilities
In this position...
Are you passionate about leveraging modern day data science methodologies/tools to study and predict the degradation or occurrence of a problem in a vehicle component/system?
Would you love to accelerate our efforts to build amazing experiences and software products in the Connected Vehicles space - with data?
We are seeking top-tier Applied Data Science professionals who are data driven, self - motivated and detail oriented to help develop and deliver breakthrough Prognostic Features.
What you'll do...
  • Own the process for prognostic feature development from conceptual to feature deployment to our production vehicles.
  • Pioneer Physics-Informed Machine Learning (PIML): Fuse first-principles physics modeling with advanced machine learning to develop hybrid, high-fidelity prognostic models that capture complex degradation behaviors across both EV and ICE powertrains.
  • Architect Prognostics & RUL Frameworks: Design and deploy state-of-the-art prognostics models to accurately estimate the Remaining Useful Life (RUL) of critical vehicle subsystems, transforming noisy fleet data into actionable maintenance alerts.
  • Deploy Edge Models in C++: Translate complex predictive models into highly optimized, low-latency C++ code, bridging the gap between cloud-based data science and resource-constrained on-board vehicle electronic control units (ECUs).
  • Harness High-Frequency Signal Processing: Architect custom Digital Signal Processing (DSP) pipelines and time-series analytics to extract clean, high-frequency physical signatures from multi-sensor vehicle networks, isolating early-stage wear patterns before they manifest as failures.
  • Design Multi-Sensor Fault Detection & Isolation (FDI): Develop and validate intelligent, multi-sensor anomaly detection frameworks capable of real-time Fault Detection and Isolation (FDI) to ensure vehicle safety, system redundancy, and fault-tolerant control.
  • Apply Statistical Causal Inference: Leverage advanced statistical methods (including causal inference, multivariate analysis, ANOVA, and PCA) to differentiate between mere correlation and true physical root causes of component degradation across massive, connected vehicle fleets.
  • Own the End-to-End Pipeline (HIL to Production): Direct the entire prognostic lifecycle-moving seamlessly from mathematical conceptualization and simulation in MATLAB/Simulink to physical validation on Hardware-in-the-Loop (HIL) benches, prototype vehicles, and ultimately to production vehicle deployment.
  • Synthesize Deep Subsystem Domain Knowledge: Partner closely with EV and ICE component subject matter experts to translate deep physical domain knowledge (thermal, mechanical, chemical, and electrical) into robust on-board and off-board diagnostics.
  • Build Scale with Big Data & Calibration Tools: Ingest and process large-scale telemetry data using Python, SQL, Spark, and Hadoop, while leveraging industry-standard calibration tools (such as ATI and ETAS) to fine-tune algorithms for real-world driving environments. Interact with subject matter experts to understand component/system functions, leverage existing connected vehicle data to model on-board and off-board prognostics algorithms.
  • Operate cross-functionally to ensure successful code implementation on production vehicles.

Qualifications
You'll have...
  • Bachelor's in Mechanical, Electrical, Computer Science, Computer engineering, Physics, Mathematics or related fields or a combination of education and equivalent experience
  • 4+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc.
  • 3+ Experience with Python (and related modules), SQL
  • Experience with embedded controls, onboard Diagnostic, Sensor Processing, General First Principles Physics Modeling and simulation using numerical computational tool (e.g. MATLAB, ATI, Simulink)
  • Experience with Digital Signal Processing (DSP) data structures, algorithms, and software engineering principles
  • Self-motivated, strong analytical, excellent interpersonal and communication skills required

Even better, you may have...
  • Master's or PhD in Mechanical, Electrical, Computer Science, Computer engineering, Physics, Mathematics or related fields or a combination of education and equivalent experience
  • Experience in Dynamic Systems, Control, Robotics, Prognostics and Health Management
  • Familiarity working with Automotive prognostics feature development using connected vehicle data.
  • 2+ Experience in application of statistical and machine learning methods e.g., ANOVA, PCA, clustering methods, causal inference, time series forecasting, random forest, multi-variate analysis, neural networks, etc.
  • Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. acquired through college course work, online training and certification or project development.
  • Experience in software development for automotive controls with hands on experience using MATLAB for large scale data and understanding of programming fundamentals and experience with C++ programming in embedded environments. ATI and ETAS calibration tool familiarity
  • Excellent verbal and written skills. Highly credible in organizational, time management, decision making and problem-solving skills.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
This position is a range of salary grades 6-8 and ranges from $85,400-$160,000.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/GSR
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
#LI-Hybrid #LI-MG3

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