ZipRecruiter

Log In

1

Climate Modelling Jobs in Michigan (NOW HIRING)

People also search for

All JobsClimate Modelling JobsClimate Modelling Jobs in Michigan

Climate Modelling information

What is climate modelling?

Climate modelling is the use of computer-based mathematical models to simulate the Earth's climate system, including the atmosphere, oceans, land surface, and ice. These models help scientists understand past, present, and future climate conditions by analyzing interactions between various components of the climate. Climate models are essential tools for predicting future climate changes, assessing the impact of human activities, and informing policy decisions related to climate change mitigation and adaptation.

What are some typical collaborative projects that climate modellers work on with other scientists?

Climate modellers frequently collaborate with meteorologists, oceanographers, data scientists, and policy experts to create comprehensive simulations and forecasts. These joint projects might include developing regional climate impact assessments, evaluating mitigation strategies, or contributing to international reports like those from the IPCC. Working in interdisciplinary teams allows climate modellers to integrate diverse data sets and perspectives, enhancing the accuracy and relevance of their models. Collaboration is essential for translating complex climate data into actionable insights for stakeholders and policymakers.

What are the key skills and qualifications needed to thrive as a Climate Modeller, and why are they important?

To thrive as a Climate Modeller, you need a strong background in atmospheric sciences, mathematics, and programming, typically supported by an advanced degree in climate science, meteorology, or a related field. Proficiency with climate modelling software (such as WRF or CESM), data analysis tools (like Python, MATLAB, or R), and experience with high-performance computing environments are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex model outputs into actionable insights. These skills and qualities are crucial for producing accurate climate projections that inform policy decisions and scientific understanding.

What is the difference between Climate Modelling vs Climate Data Analysis?

AspectClimate ModellingClimate Data Analysis
Required CredentialsBachelor's or Master's in Environmental Science, Meteorology, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentResearch labs, universities, government agencies; computational and simulation workData centers, research institutions, consulting firms; data processing and interpretation
Employer & Industry UsageClimate research, environmental agencies, academiaEnvironmental consulting, research, policy analysis

Climate Modelling involves creating simulations to predict climate patterns using complex models, while Climate Data Analysis focuses on interpreting existing climate data to identify trends and insights. Both roles require strong analytical skills but differ in their approach—modeling emphasizes simulation, whereas data analysis emphasizes data interpretation.

What are popular job titles related to Climate Modelling jobs in Michigan? For Climate Modelling jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Climate Modelling jobs in Michigan look for? The top searched job categories for Climate Modelling jobs in Michigan are:
What cities in Michigan are hiring for Climate Modelling jobs? Cities in Michigan with the most Climate Modelling job openings:
Climate Modelling jobs near you
Infographic showing various Climate Modelling job openings in Michigan as of June 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Controls Engineer - HIL & Rapid Prototyping

Prophecy Technologies

Romeo, MI • On-site

$80K - $104K/yr

Full-time

Posted 7 days ago

Job description

Job Summary:
We are seeking an experienced Controls Engineer to join our team. The ideal candidate will have strong expertise in rapid prototyping, HIL validation, and control system design. This role offers an exciting opportunity to work on cutting-edge automotive control systems.
Key Responsibilities:
  • Define and document hardware & communication architecture between sensors, actuators, prototype ECUs running experimental software, using and updating Boundary Diagrams, Interface Specifications, and Schematics.
  • Perform HIL bench commissioning and flashing software on Speedgoat or MicroAutoBox platforms.
  • Conduct Component Compatibility Assessments to confirm prototype ECU I/O suitability for all sensor and actuator components required for a subsystem.
  • Design, develop, and validate MATLAB/Simulink models targeted for Speedgoat real-time execution.
  • Integrate developed models into the prototype ECU and install it on test benches, ensuring communication with IPEMotion or Vector Data Acquisition systems.
  • Utilize CANape, CANoe, or IPEMotion software for calibration, diagnostics, data acquisition, and functional validation.
  • Interpret boundary diagrams, wiring schematics, and interface definitions for correct system integration.
  • Execute bench validation, replicate issues, and support debugging and root cause analysis.
  • Prepare Validation Reports, User Manuals, and other technical documentation.
  • Instruct customer personnel on prototype ECU operation, procedures, and test bench usage.

Required Technical Skills:
  • Strong experience in HIL commissioning or Rapid Prototyping (Speedgoat/MicroAutoBox).
  • Hands-on experience with bench validation setup and hardware/software integration.
  • Deep understanding of CAN/LIN communication, DBC structures, and debugging methods.
  • Proficiency with CANape, CANoe, IPEMotion, and calibration/validation workflows.
  • Ability to interpret Boundary Diagrams, Interface Specs, Schematics, communication databases, component designs, part drawings, and function architectures.

Required Qualifications:
  • Proven experience in Controls Engineering with 8-12 years of experience.
  • Bachelor of Engineering in Electronics or equivalent.
  • Salesforce Platform Developer I certification preferred.

Preferred Qualifications:
  • Experience in MATLAB/Simulink modelling and control algorithm development.
  • Automotive Climate control systems domain knowledge.
  • Experience creating Simulink Test setups and writing functional/system test cases and scripting for automated execution.
  • Exposure to model-based design workflows and continuous integration environments.

Apply