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Phd Math Jobs in Boulder, CO (NOW HIRING)

Principal Theorist - 782

Broomfield, CO · On-site

$192K - $240K/yr

Completed PhD in Physics, Mathematics, Computer Science or related field with background in atomic physics and/or quantum benchmarking * Formal background in theoretical physics with a proven track ...

Completed PhD in Physics, Mathematics, Computer Science or related field with background in atomic physics and/or quantum benchmarking * Formal background in theoretical physics with a proven track ...

MS/PhD in a quantitative discipline (Financial Mathematics, Statistics, CS, Engineering, or similar) * 5-10+ years in quantitative investment research, portfolio optimization, or investment product ...

Ensure approaches to analysis are based on accepted scientific and mathematical practice Qualifications Required: * BS 8-10, MS 6-8, PhD 3-5 * Active TS/SCI Clearance with Polygraph * Strong ...

Astrodynamics Engineer

Westminster, CO · On-site

$120K - $180K/yr

MS or PhD in Aerospace Engineering, Astrodynamics, Applied Mathematics, or a related field, plus [3]+ years of relevant experience (PhD may substitute for a portion). Demonstrated orbit determination ...

Showing results 41-60

Phd Math information

See Boulder, CO salary details

$8

$28

$40

How much do phd math jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for phd math in Boulder, CO is $28.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.42 and $30.43 per hour, depending on experience, location, and employer.

What is the salary of a PhD in math?

A PhD in math can lead to roles such as researcher, data scientist, or university professor, with salaries typically ranging from $70,000 to over $150,000 annually depending on experience, industry, and location. Academic positions often start lower but increase with tenure and specialization, while industry roles tend to offer higher compensation for advanced analytical skills.

What are PhD math graduates qualified to do after earning their degree?

PhD Math graduates are equipped for a range of careers that require advanced mathematical knowledge and research skills. Many pursue academic positions as professors or researchers at universities, while others work in industry roles such as data scientists, quantitative analysts, or mathematicians in government and private sectors. Their expertise is valuable in finance, technology, engineering, and consulting, where complex problem-solving and analytical abilities are essential. Additionally, some contribute to interdisciplinary research, policy analysis, or science communication.

What jobs can a PhD in math get?

A PhD in math can lead to careers in academia as a university professor, in research roles within government agencies or private industry, or in data analysis, quantitative finance, and actuarial science. These positions often require strong analytical, problem-solving, and programming skills, and may involve working with large datasets or developing mathematical models.

What are the key skills and qualifications needed to thrive as a PhD-level mathematician, and why are they important?

To thrive as a PhD-level Mathematician, you need advanced expertise in mathematical theory, analytical reasoning, and problem-solving, typically supported by a doctoral degree in mathematics or a related field. Familiarity with programming languages (such as Python or MATLAB), mathematical modeling software, and experience with academic research tools are commonly required. Strong communication, perseverance, and collaboration skills help stand out when presenting findings and working in interdisciplinary teams. These competencies are crucial for contributing original research, solving complex problems, and advancing mathematical knowledge in academic or industry settings.

What is the difference between Phd Math vs Data Scientist?

AspectPhd MathData Scientist
Required CredentialsPhD in Mathematics or related fieldBachelor's or Master's in CS, Stats, or Math; often prefers PhD
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search/ComparisonYesYes

While both roles require strong analytical skills, a Phd Math typically focuses on theoretical research and academic or research institution work. In contrast, a Data Scientist applies statistical and mathematical techniques to solve practical business problems in industry settings. The credentials overlap, but the work environment and application focus differ significantly.

Is a PhD in math useful?

A PhD in math is highly valuable for careers in academia, research, data science, and quantitative analysis, where advanced analytical and problem-solving skills are essential. It can also open opportunities in industry sectors such as finance, technology, and engineering, often requiring expertise in mathematical modeling and programming tools like MATLAB or Python.

Do math PhDs make good money?

Math PhDs often pursue careers in academia, research, data science, or finance, where salaries can vary widely. In industry roles such as quantitative analysis or data science, they can earn competitive salaries, often higher than those with only a master's degree, especially with experience and specialized skills. However, academic positions may offer lower pay compared to private sector roles.

What are the typical collaborative opportunities for someone in a PhD-level mathematics role?

PhD-level mathematicians often work within interdisciplinary teams, collaborating with professionals in fields like computer science, engineering, economics, and data science. These collaborations usually involve joint research projects, problem-solving sessions, or co-authoring academic papers. Mathematicians may also work closely with industry partners to apply theoretical models to real-world challenges, such as optimizing algorithms or analyzing large data sets. This teamwork fosters both professional growth and the opportunity to see the practical impact of mathematical research.
What are popular job titles related to Phd Math jobs in Boulder, CO? For Phd Math jobs in Boulder, CO, the most frequently searched job titles are:
What job categories do people searching Phd Math jobs in Boulder, CO look for? The top searched job categories for Phd Math jobs in Boulder, CO are:
Infographic showing various Phd Math job openings in Boulder, CO as of August 2026, with employment types broken down into 72% Full Time, 25% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $59,942 per year, or $28.8 per hour.

Conceptual Blade Design Engineer

Envision Energy

Boulder, CO • On-site

$125K - $170K/yr

Full-time

Re-posted 17 days ago


Job description

Job Openings >> Conceptual Blade Design Engineer
Conceptual Blade Design Engineer
Summary
Title: Conceptual Blade Design Engineer ID: 1053 Location: Boulder, CO Salary Range: $125,000.00 - $170,000.00
More about this job >
Description

Envision Energy's Global Blade Innovation Center (GBIC) was established in 2015 to develop an in-house blade design group. Blade design engineers from industry-leading OEMs, national labs, and top graduates have collaborated for the past 11 years, leveraging the best of their collective knowledge and experience to create a state-of-the-art design capability. Envision's in-house blade designs and technology have disrupted the Chinese blade market (100+ GW/year) and resulted in significant cost of energy reductions (LCOE) and an expanded Envision market share. Envision is currently seeking talented and highly motivated engineers to expand our team and further develop exciting new blade design capabilities and technologies.   

As a key member of the GBIC's conceptual design team, you will be responsible for the design and analysis of wind turbine blades. This includes the development of new blade technologies and associated computational tools and methodologies.  

The successful candidate will have most of the following qualifications:

  • MSc or PhD in engineering (Aerospace, Mechanical, Civil etc.), applied mathematics, or physics,
  • 5+ years of professional experience; ideally wind and/or aerospace or closely related industry. That said, recent MSc or PhD graduates with relevant research experience are still strongly encouraged to apply.
  • Understanding of multi-disciplinary design optimization (MDO) concepts and numerical optimization and associated techniques such as gradient-based search, genetic algorithms, and machine learning.
  • Understanding of fundamental aerodynamics as it relates to low Mach, steady and unsteady, turbulent and laminar, incompressible and external flow.
  • Understanding of applied aerodynamics as it relates to 2D airfoils, lifting wings, rotors, and horizontal axis wind turbines and associated analysis methods such as Blade-Element Momentum Theory, lifting-line and CFD
  • Proficiency in programming and mathematical modeling in MATLAB, Python, C/C++, or similar is critical. Experience with revision control software like Git or Mercurial is also an asset.
  • Understanding of structural mechanics and beam theory. Experience with composite structures is also an asset.
  • Understanding of aero-elasticity, basic turbine operation and control.
  • Understanding of numerical computational geometry such as NURBS
  • Familiar with AI tools to automate routine tasks and improve workflow efficiency.
  • Familiar with HPC systems and Linux
  • Demonstrated ability to make sound engineering decisions under conditions of uncertainty, incomplete information, and competing technical objectives, while balancing performance, manufacturability, cost, and risk. Proven ability to prioritize effectively and collaborate with multidisciplinary teams across diverse backgrounds.

It is not expected that the ideal candidate has all the qualifications above. What is compulsory however, is a strong desire to quickly learn and adapt combined with a sense of technical curiosity and a self-motivating/self-starting open mindset that will enable easy knowledge transfer.

Tasks and responsibilities of the conceptual design engineer may include:

  • Leading blade design trade studies by defining appropriate problem formulations, selecting suitable methodologies, critically interpreting results, and exercising engineering judgment to recommend design directions
  • Generating and interpreting design space explorations to identify meaningful trends, understand complex engineering trade-offs, and guide strategic design decisions under uncertainty.
  • Innovating and implementing novel design concepts and technologies that suit the current and future needs of the organization.
  • Contributing to and/or leading new software tool development efforts to support the design tasks mentioned above.
  • Contributing to and/or leading new blade design and technology campaigns.
  • Perform 2D/3D blade and airfoil CFD using panel-methods and/or commercial CFD solvers
  • Performing 2D airfoil design, analysis and optimization.
  • Managing, validating, and interpreting engineering datasets to ensure traceability, quality, and suitability for model development, design decisions, and technology maturation.
  • Planning and performing validation studies to continually improve the accuracy of computational models vs. field performance measurements.

The Conceptual Blade Design Engineer should have strong interpersonal, collaboration and communication skills and be able to clearly articulate the conclusions from complicated engineering analyses to both expert and non-expert groups alike. They are expected to use data-driven approaches along with their professional judgment and experience to solve open-ended and novel challenges. A minds-on / hands-on approach is expected within Envision's highly entrepreneurial corporate culture as you tackle new challenges. Desire and ability to work across different cultures and international time zones is also critical.

Candidates should expect up to 15% international travel.

Envision is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

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