Power Modeling ML/AI Intern

Tenaska is one of the largest privately held companies in the United States, an organization that’s adept in natural gas and power marketing, power management, development and acquisition of generation assets, operation of power plants and more.

Position Summary

The Quantitative Strategies – Power Modeling & Trading team seeks a technically skilled intern to support advanced energy modeling and AI-driven analytics. This role will assist in developing physics-informed models, large-scale grid optimization tools, and data applications that enhance trading performance. Candidates should have strong academic exposure to machine learning, power systems, or optimization, along with solid Python proficiency. The internship is part-time (20 hours/week) during the academic year, with potential for full-time work during the summer.

Location: Dallas office preferred; remote candidates may be considered for exceptional qualifications, with in-person check-ins every other month in Dallas or at another Tenaska location (Denver, Omaha, or Calgary)

All qualified candidates are encouraged to apply through our system and submit a résumé and a reference letter.

Applicants must be authorized to work for any employer in the U.S. The Company is not able to take over sponsorship of an employment visa at this time for this position or commit to doing so in the future for individuals with current authorization to work via, for example, CPT or OPT, and would need sponsorship in the future. Essential Job Functions

- Develop and implement physics-informed neural networks (PINNs) and surrogate models

- Contribute to vendor SCUC (Security Constrained Unit Commitment) and SCED (Security Constrained Economic Dispatch) optimization model setup and reporting

- Support application development for trading desk operations with Python notebooks and Python in Excel scripts

- Work with large-scale grid optimal power flow (OPF) modeling

Education/Experience/Skills

Basic Requirements:

- Currently pursuing or recently completed PhD or Master's in Electrical Engineering, Computer Science, Physics or Mathematics

- Strong academic background with demonstrated project work in one, and ideally more, of the following:

- Machine learning applications

- Large-scale grid/power systems modeling and simulation

- Optimal power flow (OPF) problems

- Proficiency in Python, SQL, Linux/shell scripting

- Methodical and results-driven

Preferred Requirements

- Experience with physics-informed neural networks

- Familiarity with power market operations (SCUC/SCED)

- Familiarity with probabilistic surrogate modeling

- Familiarity with energy time series data

- Previous internship or industry experience in energy/power systems

Physical Requirements And Working Conditions

The job will require sitting in an indoor office environment, the need to visually read various written materials including, but not limited to paper documents and computer monitors. The job may also require standing, bending, walking, lifting up to 10 lbs., carrying, pushing, pulling, climbing, kneeling, and crouching.

The incumbent will have the ability to use standard office equipment such as PC, printer, telephone, calculator, and copy and fax machines.

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Tenaska is an equal opportunity employer.