PostDoctoral Associate
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Job Summary
We are seeking a highly motivated Postdoctoral Research Associate to join our research group in the Department of Electrical, Computer and Energy Engineering. Candidates with strong backgrounds in power systems, optimization, machine learning, operations research, or related fields are encouraged to apply.
Who We Are
ECEE at CU Boulder is an outstanding undergraduate and graduate program in Colorado by reputation, rankings and size! We are also:
- Part of one of the top-ranked engineering schools in the nation.
- Our undergraduate electrical engineering program was ranked No. 16 among our public peers in U.S. News and World Report's Best Engineering Programs for 2025.
- We are ranked No. 16 among public computer engineering programs and No. 18 among public electrical engineering programs in U.S. News and World Report's Best Graduate Schools for 2025.
What Your Key Responsibilities Will Be
The successful candidate will conduct research at the intersection of power systems, optimization, and artificial intelligence, with applications including power system operations, renewable energy integration, decision-making under uncertainty, and AI-enabled energy systems. The position involves developing advanced optimization and machine learning methods, publishing in leading journals and conferences, mentoring students, and contributing to proposal development and collaborative research initiatives.
What We Can Offer
$65,000 - $70,000 per year.
Benefits
At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County’s largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.
Be Statements
What We Require
- Ph.D. in Electrical Engineering, Computer Engineering, Operations Research, Applied Mathematics, Computer Science, or a closely related field completed by the start date of the appointment.
- Strong background in two or more of the following areas: power systems, optimization, machine learning/artificial intelligence, energy systems, or operations research.
- Demonstrated research productivity through peer-reviewed journal and/or conference publications.
- Experience with programming and scientific computing tools (e.g., Python, Julia).
- Strong written and verbal communication skills and ability to work collaboratively in a multidisciplinary research environment.
What You Will Need
- Strong analytical, problem-solving, and research skills.
- Knowledge of power systems, optimization, machine learning, or related areas.
- Experience with scientific programming tools (e.g., Python, Julia, MATLAB).
- Ability to work independently and collaboratively in multidisciplinary teams.
- Strong written and verbal communication skills.
- Ability to mentor students and contribute to research activities.
What We Would Like You to Have
- Research experience in power systems, optimization, machine learning, artificial intelligence, or energy systems.
- Experience developing optimization and data-driven models for engineering applications.
- Proficiency in programming tools such as Python or Julia, algebraic optimization languages such as Pyomo or JuMP, and machine learning packages.
- Strong publication record in peer-reviewed journals and conferences.
- Experience mentoring students and contributing to collaborative research projects.
Special Instructions
To apply, please submit the following materials:
- Resume or CV.
- Cover Letter.
- Reference Letter (Not Confidential)
(Optional) Transcripts/Proof of Degree: If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources Department using an approved online vendor. However, if your degree was obtained outside of the United States, please submit an English-translated version as an Optional document.
Please apply by June 3, 2026 for consideration.
Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.
Posting Contact Information
Posting Contact Name: Boulder Campus Human Resources
Posting Contact Email: Recruiting@colorado.edu