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Techno Economic Modeling Jobs (NOW HIRING)

... techno-economic areas for transmission, distribution, and generator applications * Develop and improve scripting processes to streamline modeling and study execution * Guide and support junior ...

Process Modeling Engineer

Houston, TX · On-site

$100K - $160K/yr

Document modeling methodologies and results, providing clear technical communication for design reviews, techno-economic assessments, and regulatory submissions. What You'll Bring * Proficiency in ...

Familiarity with techno-economic modeling and commercial strategy in power systems * Track record of publishing in technical journals or speaking at industry events * Knowledge of U.S. and Canadian ...

Lead and grow a technical consulting business unit focused on power system studies, including power flow, stability, EMT, harmonics, and techno-economic modeling * Manage day-to-day operations ...

... analysis, and techno-economic analysis; and, in some cases, provide project management support ... models. * Design and lead the execution of fermentation experiments at the 7.5 L scale, including ...

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Techno Economic Modeling information

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$31K

$73.3K

$130K

How much do techno economic modeling jobs pay per year?

As of Jun 9, 2026, the average yearly pay for techno economic modeling in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What are the common challenges faced when collaborating with cross-functional teams in techno economic modeling roles?

In techno economic modeling roles, professionals often collaborate with engineering, finance, and operations teams to build comprehensive models. A common challenge is aligning technical assumptions with business objectives, as different teams may have varying priorities or understandings of the data. Clear communication and regular check-ins are essential to ensure all stakeholders are on the same page regarding project goals, timelines, and data accuracy. Successfully navigating these challenges helps create robust models that inform sound strategic decisions.

What is the difference between Techno Economic Modeling vs Process Engineer?

AspectTechno Economic ModelingProcess Engineer
CredentialsEngineering degree, analytical skillsEngineering degree, process optimization skills
Work EnvironmentData analysis, financial modeling, project evaluationDesign, optimize, and troubleshoot manufacturing or chemical processes
Industry UsageEnergy, manufacturing, consultingChemical, petrochemical, manufacturing
Search/Comparison IntentFinancial feasibility, project evaluationProcess optimization, efficiency improvements

While both roles require engineering knowledge, Techno Economic Modeling focuses on analyzing the financial and technical feasibility of projects through data and modeling. Process Engineers primarily work on designing and improving manufacturing processes. Understanding these differences helps in selecting the right career path or job focus within technical industries.

What is techno-economic modeling?

Techno-economic modeling is a process that combines technical and economic analyses to evaluate the feasibility, cost-effectiveness, and potential impact of a technology or project. It involves assessing technical parameters—such as efficiency, performance, and scalability—alongside economic factors like capital costs, operating expenses, and market potential. The goal is to provide a comprehensive understanding of whether a project is viable and competitive, often to guide investment, policy, or research decisions. Techno-economic models are widely used in sectors like energy, manufacturing, and biotechnology to support decision-making and innovation.

What are the key skills and qualifications needed to thrive in Techno Economic Modeling, and why are they important?

To excel in Techno Economic Modeling, you need strong analytical skills, a background in engineering or economics, and proficiency in quantitative analysis. Familiarity with modeling tools like Excel, MATLAB, or specialized software, as well as knowledge of financial modeling and data analysis certifications, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help professionals convey complex findings to diverse stakeholders. These competencies are crucial for producing accurate, actionable insights that guide investment and strategic decision-making in technology-driven projects.

Postdoctoral Researcher - Decision Support & Analysis

Nrel

Golden, CO • On-site

$119K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Posting TitlePostdoctoral Researcher - Decision Support & Analysis

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LocationCO - Golden

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Position TypePostdoc (Fixed Term)

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Hours Per Week40

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Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.

Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.

At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.

Job Description

Job Summary:

The National Laboratory of the Rockies (NLR) seeks a Postdoctoral Researcher to advance open-source modeling of critical mineral and material (CMM) flows within broader system contexts. The role involves collaboration across teams specializing in data automation, scaling and integration, life cycle and techno-economic analysis, economic modeling, material flow analysis, energy systems, and integrated assessment modeling.

Candidates should hold a recent PhD in Environmental Science, Environmental Engineering, Industrial Ecology, Chemical Engineering, Economics, or a related field.The ideal candidate is aself-motivated, highly proficient pythonprogrammer with strong optimization skills who can work independently.Additionalexperience in industrial datasets,processor systems modeling, and advanced opensource tools, as well as familiarity with NLR's public databases is a plus.While this position is withinthe Strategic Energy Analysis Center (SEAC),candidates are expected tocollaborate across NLR to support complex, interdisciplinary decision-making.

Job Description:

The candidate will join NLR's integrated and systems modeling team to help developnext generation,AI-enabled, opensource models assessing U.S. CMM supply chain and manufacturing futures. Key responsibilities include building and integrating novel modeling platforms, developing datasets, and supporting regional and nationaldecision supportframeworks usingindustry standardpractices in coding and data management. The candidate will also contribute to publications and collaborate with senior engineers and analysts.

Specific duties include:

  • Advance and expand existing and build new modeling capabilities in industrial CMManalysis.
  • Support the assessment of CMM futures using NLR datasets and tools such asLiAISON,ReEDS, and FINITO.
  • Buildexpertiseand gainproficiencyin using and applyingthe Global Change Analysis Model(GCAM) in conjunction with NLR datasets and tools for systemsanalysis.
  • Update, curate, and analyze industrial and life cycle data to build highquality unit datasets.
  • Develop, write, and document code to support model development and codebased assessment frameworks.
  • Integrate crosscutting costing, lifecycle, and process data.
  • Apply quantitative and qualitative research methods to assess,validate,and visualize results.
  • Writeand publish research findings inpeer-reviewedjournals, conference proceedings, and technical reports.
  • Present research findingsto clients,scientificpeers,andnon-technical stakeholders.
  • Collaboratewith colleagues within and outside of NLR.

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Basic QualificationsMust be a recent PhD graduate within the last three years.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications

Additional Required Qualifications:

  • PhD inEnvironmental Science, Environmental Engineering, Industrial Ecology,ChemicalEngineering,Economics, or a closely related field.
  • Deep experience developing codebases in Python, with accompanying documentation and/or user guides(applicants experienced in other programming languages whodemonstratean ability to quicklylearnPython may be considered).
  • Experience inoptimization.
  • Experience inadvanced(hybrid, dynamic,consequential,and/or prospective)LCA tools and energy systems models.
  • Experience with industrial datasets and processmodeling, ordeveloping customlife cycle inventoriesand inusing established life cycle inventory databases.
  • Familiarity with LCA software (experience applyingBrightwayandBrightway'sActivity Browser is particularly desired; experience innon-code-based LCA software such asGaBi,SimaPro,andOpenLCAis a plus).
  • Strong analytical skills with a demonstrated ability to apply theoretical concepts to real-world scenarios.
  • Self-motivated, quick learner with a proven ability to grasp new concepts and develop skills as needed.
  • Ability to work independently.

Other Requirements:

  • Must be able to work independently and as part of a team.
  • Availability to start by Summer 2026.
Preferred Qualifications
  • Familiarity with NLR's databases and tools such as USLCI, LiAISON, ReEDS, FINITO.

  • Familiarity with the Global Change Analysis Model (GCAM).

  • Knowledge in multiple disciplines, including engineering and software development.

  • Interdisciplinary curiosity and a desire to broaden technical skills and apply cutting edge AI/ML functions into workflows.

  • General understanding of energy sector tax credits.

  • Experience using GitHub or other code-sharing platforms.

  • Strong technical writing skills with a history of publishing in peer-reviewed journals.

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Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range (based on full-time 40 hours per week)Job Profile: Postdoctoral Researcher / Annual Salary Range: $76,600 - $126,400

NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.

Benefits SummaryBenefits include medical, dental, and vision insurance; short-term disability insurance*; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; and paid holidays. NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement.

* Based on eligibility rules

Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation.Drug Free Workplace

NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.

If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

Submission Guidelines

Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

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Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Reasonable Accommodations

E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.

E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.