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Phd Python Jobs in Clinton Township, MI (NOW HIRING)

Master's Degree Required | PhD Preferred About the Role Are you passionate about using data science ... Create and validate models using MATLAB, Simulink, Python, and other analytical tools. * Optimize ...

Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

Strong programming skills in Python and at least one additional language (Java, C++, or JavaScript ... Master's degree or PhD in AI, Machine Learning, or a related discipline. * Experience working with ...

Strong programming experience in Python and/or C++ * Hands-on experience with machine learning ... Master's degree or PhD in AI, Robotics, or a related discipline * Experience with ROS / ROS2 and ...

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Phd Python information

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$22.7K

$138.3K

$200.1K

How much do phd python jobs pay per year?

As of Aug 4, 2026, the average yearly pay for phd python in Clinton Township, MI is $138,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $162,500.00 per year, depending on experience, location, and employer.

Can we do a PhD in Python?

A PhD in Python typically refers to research involving Python programming language, often within computer science or data science disciplines. While there is no formal PhD in Python itself, students can pursue doctoral degrees in related fields and use Python as a primary tool for research, coding, and data analysis. Advanced programming skills and knowledge of algorithms, machine learning, or software development are usually required for such research-focused doctorates.

What skills and qualifications are needed to thrive as a PhD Python developer?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

What types of collaborative projects might a PhD with Python expertise typically engage in within research or industry settings?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.
What job categories do people searching Phd Python jobs in Clinton Township, MI look for? The top searched job categories for Phd Python jobs in Clinton Township, MI are:
What cities near Clinton Township, MI are hiring for Phd Python jobs? Cities near Clinton Township, MI with the most Phd Python job openings:

Scientist / Research Eng General

Epitec

Dearborn, MI โ€ข 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.
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