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Phd Computer Science Jobs in Michigan (NOW HIRING)

PhD degree is preferred in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field * Knowledge ...

Master's or PhD in Computer Science, Engineering, Mathematics * Experience in automotive or physical system simulation domains. * Familiarity with co-simulation frameworks, physical modeling tools (e ...

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical ... PhD in a quantitative discipline * (Preferred) Experience in the insurance industry Compensation ...

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Showing results 1-20

Phd Computer Science information

See Michigan salary details

$49.2K

$72.4K

$85.4K

How much do phd computer science jobs pay per year?

As of Jun 25, 2026, the average yearly pay for phd computer science in Michigan is $72,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $81,500.00 per year, depending on experience, location, and employer.

Is a CS PhD worth it?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles that require advanced technical expertise. It typically involves several years of study, research, and publication, and is valuable for positions that demand deep knowledge or innovation in areas like artificial intelligence, algorithms, or data science.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

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

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What is the salary of a PhD in computer science?

A PhD in computer science typically earns a salary ranging from $80,000 to over $150,000 annually, depending on the industry, location, and experience. Academic positions, research roles, and industry jobs such as software engineering or data science may have different salary ranges, with industry roles generally offering higher compensation.

Can I make 200K with a computer science degree?

A PhD in Computer Science can lead to high-paying roles such as research scientists, data scientists, or senior software engineers, where salaries of $200,000 or more are achievable, especially in tech hubs or with extensive experience. However, reaching this level typically requires advanced skills, experience, and sometimes additional certifications or leadership responsibilities.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, and university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.
What cities in Michigan are hiring for Phd Computer Science jobs? Cities in Michigan with the most Phd Computer Science job openings:
Infographic showing various Phd Computer Science job openings in Michigan as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $72,437 per year, or $34.8 per hour.
Senior Data Scientist

Senior Data Scientist

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 20 days ago


Job description


We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
In this position...
In Global Data Insight & Analytics (GDIA), we aspire to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to realize the enterprise's known goals, reveal hidden opportunities, and achieve data superiority.
The GDIA Cost Efficiency Analytics team develops data products, analytic software and provides insights to a broad range of skill teams and delivers value to Ford using critical thinking, artificial intelligence (AI), machine learning (ML), and optimization techniques.
As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers and Software Engineers to develop robust analytics products. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Cost efficiency analytics to align with their needs and processes to ensure relevancy of products.
Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week
Responsibilities
What you'll do...
  • Model Development and Optimization: Designing, training, and fine-tuning AI models (including Deep learning and LLMs) to solve specific business problems.
  • Familiar with LLM orchestration workflows like Crew.ai, Langraph, Google ADK for quick development and scaling strategies to build robust pipelines.
  • Deployment and Integration: Transitioning models from research environments to production, often by converting them into APIs or integrating them into existing software applications.
  • Infrastructure Management: Building and maintaining the infrastructure for AI development, data pipelines, and automated workflows.
  • Collaboration: Working with data scientists to define AI strategies, understand requirements, and implement solutions.
  • Performance Evaluation: Testing, validating and monitoring AI models in production scale to ensure reliability.
  • Research and Innovation: Staying current with AI advancements (e.g., Generative AI, LLMs) and applying them to improve existing products.

Additionally, you will...
  • Accelerate the application of value-added analytics and machine learning into the portfolio of products for CEA.
  • Drive analytic excellence into product teams by collaborating with Data Scientists, Data Engineers and Software Engineers in analytic and machine learning methods.
  • Work closely with the Product Manager and Product Owner to translate Business Value needs into analytic deliverables and, where appropriate, software products for delivery by product teams.
  • Work hands-on with the team and other partners to deliver solutions that meet our customers' requirements and needs.
  • Act as a consultant to the business vs. an order taker.
  • Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt.

Qualifications
You'll have...
  • Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science or equivalent combination of relevant education and experience
  • 5+ years of hands-on experience with Python, SQL, mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis
  • 3+ years of experience delivering analytics solutions
  • 3+ years of experience with Agile team methodology

Even better, you may have...
  • PhD degree is preferred in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field
  • Knowledge and experience working with OGC and related teams/activities (e.g., Compliance, Litigation and Regulatory)
  • Proven experience with developing data products/solutions to support analytic applications in Ford's data ecosystem
  • Experience with Product Driven Operating Model or Agile Product Development Process
  • Proven proficiency in developing and deploying analytic models, working in a team environment, supporting customers and/or end users
  • Comfortable working in an environment where problems are not always well-defined
  • Strong interpersonal and leadership skills, with ability to communicate complex topics to leaders and peers in a simple and clear manner
  • Well-organized, independent, and ready to work with minimal supervision
  • Inquisitive, proactive, and interested in learning new tools and techniques
  • Demonstrated hands on experience with deploying data products and/or analytic models in Ford's on-prem and/or Google Cloud Platform
  • Demonstrated experience to translate real-world business problems into analytical formulations and interpret analytics results with non-analytics business partners
  • Working knowledge of Manufacturing IT legacy systems such as FIS, Maximo, QLS, etc.
  • Thorough understanding of the 'Common Data Model' standard published by Manufacturing

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 childcare 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 salary grade of 7 or 8 and ranges from $99,600- 192,900.
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.
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Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982