Research Data Analyst

About the Role

This position at Kansas State University supports research endeavors within the field of power systems. Responsibilities include assisting with software development, setting up simulations, processing data, testing and benchmarking code, documenting procedures, and preparing research deliverables under supervision. The role focuses on supporting projects involving artificial intelligence applications for power systems, incorporating data analytics, development of large language models (LLMs), data engineering, and software prototyping. This opportunity offers practical experience in applying AI technologies to energy systems research and developing related research tools and workflows.

About the Institution

The Mike Wiegers Department of Electrical and Computer Engineering is a part of the Carl R. Ice College of Engineering. It includes 19 faculty members and educates approximately 500 undergraduate and graduate students within its state-of-the-art Engineering Hall, which houses modern research labs, classrooms, and offices. The department has active research programs in power systems, power electronics, wireless communications, network engineering, and biomedical engineering.

Kansas State University, with around 20,000 enrolled students, holds Carnegie R1 status for very high research activity. The College of Engineering is located on the main campus in Manhattan, Kansas, a safe and family-friendly city of about 50,000 residents, known for affordable housing, excellent schools, great parks, cultural options, and short commutes.

Worksite and Legal Requirements

This role requires the employee to work on-site in Manhattan, KS. Employees must reside in the United States upon starting employment to meet state laws. Remote or hybrid work options are not permitted for residents of Idaho for this position.

Qualifications

• A bachelor’s degree along with three years of relevant experience is required. Additional education beyond the bachelor’s degree may substitute relevant experience at the discretion of the hiring manager. The degree and experience combination ensures candidates have the quantitative skills, statistical understanding, and technical capabilities needed for managing complex datasets, performing advanced analyses, and delivering insights.
• Preferred degrees include Management Information Systems, Computer Science, Data Science, Information Technology, or related areas.
• Programming experience in Python, along with proficiency in SQL and data analysis, is desirable.
• Strong communication skills, both written and verbal, and an ability to work independently and in teams are important.
• Experience or interest in large language models (LLMs), generative AI tools, data visualization platforms (such as Pandas, Power BI, Tableau), Git or collaborative software development, artificial intelligence, cybersecurity, or power systems is highly valued.
• Experience developing AI-assisted applications or automating workflows will be advantageous.

Additional Employment Information

• Candidates must have legal authorization to work continuously in the U.S. without sponsorship.
• Applications will be accepted until July 30, 2026.
• The anticipated hourly wage is $25.76.