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Climate Risk Modelling Jobs in Michigan (NOW HIRING)

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Climate Risk Modelling information

What are some common challenges faced by Climate Risk Modelling professionals when working with interdisciplinary teams?

Climate Risk Modelling professionals often collaborate with experts from environmental science, finance, engineering, and policy to assess and mitigate climate-related risks. A common challenge is translating complex technical data into actionable insights that are understandable to non-specialists, while ensuring methodological rigor. Balancing the need for accuracy with project deadlines, and managing the uncertainties inherent in climate projections, are also frequent hurdles. Strong communication skills and adaptability are essential to bridge knowledge gaps and foster productive teamwork.

What is the difference between Climate Risk Modelling vs Climate Data Analyst?

AspectClimate Risk ModellingClimate Data Analyst
Required CredentialsDegree in environmental science, data science, or related fields; certifications in climate modeling or GISDegree in environmental science, statistics, or data analysis; certifications in data analysis tools
Work EnvironmentResearch institutions, government agencies, consulting firmsResearch institutions, government agencies, NGOs, private companies
Industry UsageDevelops models to predict climate impacts and risksAnalyzes climate data to identify trends and support decision-making

While both roles involve working with climate data, Climate Risk Modelling focuses on creating predictive models to assess future climate risks, whereas Climate Data Analysts interpret existing data to inform strategies. Both roles require strong analytical skills and environmental knowledge but differ in their primary objectives and methodologies.

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

To thrive as a Climate Risk Modeller, you need strong quantitative analysis skills, a background in environmental science, mathematics, or a related field, and experience with climate data. Proficiency in programming languages such as Python or R, familiarity with statistical modelling tools, and knowledge of GIS software or climate simulation platforms are typically required. Outstanding attention to detail, effective communication, and problem-solving skills help explain complex findings to diverse stakeholders. These abilities ensure accurate risk assessments and actionable insights for organizations facing climate-related challenges.

What is climate risk modelling?

Climate risk modelling is the process of using data, statistical techniques, and computer simulations to estimate the potential impacts of climate change on various sectors, such as finance, agriculture, infrastructure, and insurance. These models help organizations understand and quantify the physical and transition risks associated with changing climate conditions, including extreme weather events, rising sea levels, and regulatory shifts. By assessing these risks, companies and governments can make more informed decisions about investments, risk management, and adaptation strategies.
What are popular job titles related to Climate Risk Modelling jobs in Michigan? For Climate Risk Modelling jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Climate Risk Modelling jobs in Michigan look for? The top searched job categories for Climate Risk Modelling jobs in Michigan are:
Climate Risk Modelling jobs near you
Infographic showing various Climate Risk Modelling job openings in Michigan as of July 2026, with employment types broken down into 81% Full Time, 15% Part Time, 1% Temporary, 1% Contract, and 2% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Senior Model Based Controls Engineer

Senior Model Based Controls Engineer

LHP Engineering Solutions

Pontiac, MI • On-site

$95K - $126K/yr

Full-time

Posted 8 days ago

Job description

Job Location: 2800 Centerpoint Parkway, Pontiac, Michigan 48341
Duties
LHP Engineering Solutions LLC seeks a Senior Model Based Controls Engineer in Pontiac MI. Telecommuting permitted 100% of time. Duties: apply quality assurance techniques; compile data and define changes required in software and features; conduct software vulnerability assessments of systems; contribute to the delivery of innovative, flexible, and integrated solutions to meet customer's changing business needs; coordinate input from internal and external customers to understand needs and perceptions; perform root cause analysis, error correction, and functional and risk analysis of system level problems (5 Whys, Fishbone); represent the development team in multi-focused team meetings; work with cross-functional teams to architect and implement complex solutions; confirm that new software features integrate with control systems (sensors, electronic control units and actuators that manage vehicle motion, stability, and safety, including propulsion, braking and steering) to meet functionality requirements; controls (steering, braking, acceleration, gear shifting, lighting, climate control, transmission) and model requirements definition, controls architecting (shifting from distributed electronic control units to centralized and zonal architecture to reduce wiring complexity while enhancing computing power for software-defined vehicles), design, analysis, implementation and verification using Model-in-the-Loop (MIL), Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) techniques consistent with design requirements; design and provide technical documents for developed controls; design, model and integrate software functionalities in a real-time embedded environment; develop and analyze requirements; develop controls solutions (electronic systems and software-such as powertrain control units, anti-lock brake systems and Advanced Driver-Assistance Systems) using model-based definition techniques; ensure process compliance and configuration management; participate in software reviews and provide technical support, guidance and collaboration for software and hardware implementation activities; work with product development teams to design and develop control algorithms.
Requirements
Bachelor's degree (or foreign equivalent degree) in mechanical engineering, electrical engineering, computer engineering, aerospace engineering, or related field, plus 3 years of experience in any role in which one or more of skills listed below were used or developed. Included within the 3 years of experience, must have experience in all of the following: autocode generation (RTW, Target Link, Embedded Coder, or ADI Beacon); configuration management tools (IBM Rational ClearQuest, IBM Team Concert, IBM Jazz Team Server, or GitLab); Eclipse, C, or C++ programming languages; modelling and simulation using MATLAB, Simulink, Stateflow, LabView or Modelica; version control and requirements management software tools (RTC, DNG, DOORS, Jira, PTC Integrity, or GIT); scripting language (Python or Mscript); verification and validation tools (ETAS INCA, CANalyzer, or CANape); fixed point and double precision data type usage and autocode generation impact; MAAB, MISRA and ISO26262 standards; MBD design guidelines.

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