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Phd Python Jobs in Denver, CO (NOW HIRING)

Proficient in Python, R, Matlab, Lua, or other data science-centric programming language ... Masters Degree or PhD in Mathematics, Physics, Statistics, Computer Science, or Data Science.

Quantum Engineer

Boulder, CO · On-site

$160K - $185K/yr

PhD in Physics, Chemistry, Engineering, or a related field. Required Qualifications * Extensive ... Familiarity with Python and Git software version control Atom Computing provides a wide variety of ...

Quantum Engineer

Boulder, CO · On-site

$160K - $185K/yr

PhD in Physics, Chemistry, Engineering, or a related field. Required Qualifications * Extensive ... Familiarity with Python and Git software version control Atom Computing provides a wide variety of ...

PhD in Physics, Chemistry, Engineering, or a related field. Required Qualifications * Extensive ... Familiarity with Python and Git software version control Atom Computing provides a wide variety of ...

Automate data processing and analysis workflows using Python, SQL, and Excel. * Collaborate with ... Advanced degrees (master's or PhD) are considered a plus. * Minimum of 1 years of professional ...

PhD in Physics, Chemistry, Engineering, or a related field. * 4+ years work industry experience ... Familiarity with Python and Git software version control Atom Computing provides a wide variety of ...

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Phd Python information

See Denver, CO salary details

$23.7K

$144.1K

$208.4K

How much do phd python jobs pay per year?

As of Jul 14, 2026, the average yearly pay for phd python in Denver, CO is $144,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $169,300.00 per year, depending on experience, location, and employer.

What Python jobs are in-demand?

Python developers are in high demand across industries such as technology, finance, healthcare, and data science. Common roles include data scientist, machine learning engineer, backend developer, and automation engineer, often requiring knowledge of frameworks like Django or Flask and proficiency in data analysis tools. These positions typically value strong programming skills, problem-solving ability, and experience with cloud platforms and version control systems.

Can we do PhD in Python?

A PhD in Python typically refers to research involving Python programming language, often in fields like computer science, data science, or artificial intelligence. While there is no formal PhD in Python itself, students pursue doctoral degrees in related areas and use Python as a primary tool for research and development. Earning a PhD requires completing original research, coursework, and a dissertation in a relevant field, with proficiency in Python being a valuable skill for data analysis, machine learning, and software development.

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

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 a research or industry setting?

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.

Is Python in high demand?

Python is in high demand across many industries, especially for roles involving data analysis, machine learning, web development, and automation. Python developers with skills in frameworks like Django or Flask and experience with libraries such as Pandas or TensorFlow are highly sought after in the job market.

What is the highest paying job in Python?

The highest paying jobs involving Python typically include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, often requiring advanced skills in algorithms, statistics, and frameworks like TensorFlow or PyTorch. These positions can offer salaries exceeding $150,000 annually, especially with experience, certifications, and work in finance, tech, or research environments.

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 are popular job titles related to Phd Python jobs in Denver, CO? For Phd Python jobs in Denver, CO, the most frequently searched job titles are:
What cities near Denver, CO are hiring for Phd Python jobs? Cities near Denver, CO with the most Phd Python job openings:

Graduate (6-12 months) Power System Stability Analysis Intern

Nrel

Golden, CO • On-site

$14.50 - $19.50/hr

Full-time

Medical, Dental, Vision, Retirement

Posted yesterday


Job description

Posting TitleGraduate (6-12 months) Power System Stability Analysis Intern

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LocationCO - Golden

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Position TypeIntern (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

We are seeking a talented and motivated Power System Stability Analysis Engineer to join our team in a cutting-edge project focused on the stability analysis of power systems with a high penetration of Inverter-Based Resources (IBRs). As IBRs become increasingly prevalent, their integration into power grids presents unique challenges in grid stability, oscillation detection, and control. This project involves analyzing and interpreting real-time data from over 100 Phasor Measurement Units (PMUs) installed across the system to identify grid disturbances, detect oscillations, and assess system strength.

Job Responsibilities include but may not be limited to:

  • Analyzing PMU data (from more than 100 PMUs) to monitor power system stability and detect grid disturbances
  • Create visualizations of grid strength and stability based on PMU Data such as heat maps of grid inertia, voltage profile, equivalent short circuit ratio etc.
  • Develop techniques that will improve the resilience and reliability of future power grids, particularly in systems dominated by IBRs
  • Produce detailed reports on oscillation detection, system strength assessment, and grid stability findings
  • Provide recommendations for mitigating potential stability risks
  • Collaborate with power system engineers, control experts, and software developers to refine system models, improve analysis techniques, and support operational decision-making
  • Contribute towards technical documentation and the generation of research papers

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Basic QualificationsMinimum of a 3.0 cumulative grade point average.
Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution.
Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution.
Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution.
Please Note:
Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
If selected for position, a letter of recommendation will be required as part of the hiring process.
Must meet educational requirements prior to employment start date.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications
  • Must have completed a bachelor's degree and either be enrolled in or recently graduated from a master's program, or be enrolled in a PhD program in, electrical engineering with power systems stability, with focus on power systems dynamics/stability
  • Demonstrated experience in power system stability analysis, particularly in IBR-dominant grids
  • Proven experience in PMU data analysis, including oscillation detection, system stability analysis, and event identification
  • Demonstrated knowledge of power system stability metrics such as Equivalent Short-Circuit Ratio (ESCR), system inertia estimation, and oscillation mode identification
  • Demonstrated experience in signal processing such as time-domain signal processing ( i.e. filtering, noise reduction, event and disturbance detection etc.) and frequency-domain techniques (i.e. fast Fourier transformation, mode and oscillation analysis etc.)
  • Demonstrated proficiency in python programming or other major programming language
  • Demonstrated experience in power system simulation software (e.g., MATLAB/SIMULINK/PSCAD)
  • Strong analytical and problem-solving abilities, with the capacity to work with large datasets and derive actionable insights
Preferred Qualifications
  • Current PhD student in electrical engineering with a power systems focus

  • Knowledge or experience in frequency-domain analysis and time-domain analysis for power systems

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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: / Annual Salary Range: $51,200 - $81,900

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; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). 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. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.

* 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. Intern assignments extending beyond six months will be subject to this requirement.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

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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.