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Phd Computer Science Jobs in Detroit, MI (NOW HIRING)

Epitec

Scientist / Research Eng General

Dearborn, MI · On-site

Master's Degree Required | PhD Preferred About the Role Are you passionate about using data science ... Master's Degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer ...

Oakland University

Assistant Professor

Rochester, MI · On-site

Minimum Qualifications PhD in mechanical engineering or related area. Special Instructions to ... Computer Science (SECS), Mechanical Engineering (ME) department More About Oakland University The ...

The Mathworks

Senior Technical Consultant

Novi, MI · On-site

$128K - $199K/yr

Alternatively, employer will accept a PhD degree in Computer Science, Engineering [any] or related field and no experience or a Bachelor's degree in Computer Science, Engineering [any] or related ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

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

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Phd Computer Science information

See Detroit, MI salary details

$55.9K

$82.3K

$97K

How much do phd computer science jobs pay per year?

As of Aug 5, 2026, the average yearly pay for phd computer science in Detroit, MI is $82,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $92,600.00 per year, depending on experience, location, and employer.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation. However, it may not be necessary for most industry jobs, which often prioritize skills and experience over advanced degrees.

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?

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 jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for research positions, university faculty roles, and advanced roles in industry such as data scientist, machine learning engineer, or AI researcher. These roles often require strong programming skills, knowledge of algorithms, and experience with tools like Python, TensorFlow, or cloud platforms.
What are popular job titles related to Phd Computer Science jobs in Detroit, MI? For Phd Computer Science jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Detroit, MI look for? The top searched job categories for Phd Computer Science jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Phd Computer Science jobs? Cities near Detroit, MI with the most Phd Computer Science job openings:
Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Detroit, MI as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $82,275 per year, or $39.6 per hour.

Scientist / Research Eng General

Epitec

Dearborn, MI • On-site

Contractor

Posted 8 days ago

Job description

  • Location: Dearborn, Michigan
  • Type: Contract
  • Job #105483

Prognostics Research Engineer
Location: Dearborn, MI (Hybrid - 4 Days Onsite)
Industry: Automotive Research & Connected Vehicle Technology
Education: Master's Degree Required | PhD Preferred
About the Role
Are you passionate about using data science, machine learning, and engineering principles to solve complex vehicle reliability challenges?
Our client is seeking a Prognostics Research Engineer to develop next-generation predictive maintenance and health-monitoring solutions for connected vehicles. In this role, you will leverage large-scale vehicle data, advanced analytics, physics-based modeling, and machine learning techniques to predict component degradation and estimate Remaining Useful Life (RUL) across both electric and internal combustion engine (ICE) platforms.
This is a unique opportunity to work at the intersection of data science, vehicle diagnostics, embedded software, signal processing, and advanced research, helping bring innovative prognostic technologies from concept to production vehicles.
What You'll Do
  • Develop predictive maintenance and prognostic algorithms for vehicle systems and components.
  • Build and deploy Remaining Useful Life (RUL) models using machine learning and physics-based approaches.
  • Analyze large-scale connected vehicle and telemetry data to identify early indicators of component degradation.
  • Design and implement signal processing pipelines for high-frequency sensor data.
  • Develop fault detection and anomaly detection algorithms for real-time vehicle monitoring.
  • Apply advanced statistical methods including PCA, ANOVA, clustering, neural networks, causal inference, and multivariate analysis.
  • Create and validate models using MATLAB, Simulink, Python, and other analytical tools.
  • Optimize and deploy predictive models into embedded C++ environments for production vehicle applications.
  • Perform Hardware-in-the-Loop (HIL) testing and validation activities.
  • Collaborate with engineering subject matter experts across EV, powertrain, controls, software, and vehicle systems teams.
  • Utilize cloud platforms and big-data technologies to process and analyze large-scale fleet data.
Required Qualifications
  • Master's Degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics, or a related field.
  • 4+ years of experience applying advanced statistical and machine learning techniques.
  • 3+ years of experience with Python and SQL.
  • Experience with:
    • Machine Learning and Data Science
    • MATLAB and Simulink
    • Embedded Controls and Diagnostics
    • Digital Signal Processing (DSP)
    • Sensor Processing
    • C++ Programming
    • Vehicle or System Modeling
  • Strong analytical, communication, and problem-solving skills.
Preferred Qualifications
  • PhD in a related engineering or scientific discipline.
  • Experience with:
    • Prognostics and Health Management (PHM)
    • Predictive Maintenance
    • Remaining Useful Life (RUL) Modeling
    • Dynamic Systems, Controls, or Robotics
    • Connected Vehicle Data Analytics
    • Automotive Diagnostics
    • Spark, Hadoop, R, and Open-Source Data Science Technologies
    • ATI and ETAS Calibration Tools
    • Automotive Software Development and Embedded Systems
Technical Skills
Programming & Analytics
  • Python
  • SQL
  • C++
  • MATLAB
  • Simulink

Data Science & Machine Learning
  • Neural Networks
  • PCA
  • ANOVA
  • Clustering
  • Causal Inference
  • Time Series Analysis
  • Multivariate Analysis
  • Gaussian Regression

Cloud & Big Data
  • Google Cloud Platform (GCP)
  • Spark
  • Hadoop

Automotive & Controls
  • Embedded Systems
  • Vehicle Diagnostics
  • Signal Processing
  • HIL Testing
  • Prognostics & Health Monitoring
Why Apply?
This role offers the opportunity to work on cutting-edge connected vehicle technologies that directly impact the future of automotive reliability, predictive maintenance, and intelligent vehicle health monitoring. You'll collaborate with industry experts while helping develop innovative features that move from research concepts into production vehicles.
Schedule: Hybrid - 4 days onsite per week in Dearborn, MI.
#LI-PS1 #INDOEM

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