Research Data Analyst

About This Role

This position will support research activities in power systems. It will assist with software development, simulation setup, data processing, code testing, benchmarking, documentation, and preparation of research deliverables under supervision. Support research projects in artificial intelligence applications for power systems through data analytics, large language model (LLM) development, data engineering, and software prototyping. The position provides hands-on experience in applying AI technologies to energy systems research while supporting the development of research tools and workflows.

About Us

The Mike Wiegers Department of Electrical and Computer Engineering, as one of the eight departments within the Carl R. Ice College of Engineering, has 19 faculty members and approximately 500 undergraduate and graduate students. The department is located in the new Engineering Hall equipped with the state-of-the-art research laboratories, classrooms, and office spaces. The department has strong research programs in power systems, power electronics, wireless communications, network engineering, and biomedical engineering. More information may be found at http://ece.k-state.edu/.

The Carl R. Ice College of Engineering is committed to driving innovation through quality education in academic and applied learning experiences to prepare the next generation of technological leaders. As a premier institution, our mission is to educate and empower our students to address the challengers of a rapidly changing world. It is the most comprehensive engineering college in Kansas, with over 3100 undergraduate and graduate students.

Kansas State University, with its enrollment of approximately 20,000 students, is designated a Carnegie R1 (Very High Research Activity) Institution. The College of Engineering is located on the main KSU campus in Manhattan, KS. Manhattan is a family-friendly and safe community of 50,000 nestled in the scenic Flint Hills of Northeast Kansas. Manhattan offers affordable housing, outstanding schools, excellent parks and recreational facilities, an engaging cultural environment, and short commute times.

Worksite Description

This position is On-site.

All employees must reside in the United States when they begin working to comply with state law. K-State is unable to provide remote or hybrid work opportunities for residents of the state of Idaho.

What You'll Need to Succeed

Minimum Qualifications:

• Requires a bachelor's degree and three years of relevant experience. Education beyond the minimum degree requirement may count toward required experience if deemed relevant by the hiring manager. The degree requirement ensures candidates possess the quantitative expertise, statistical methodologies and technical proficiency necessary to manage complex datasets, perform advanced analyses and generate insights that inform organizational strategies and external reporting. These competencies are typically developed and rigorously validated only through the comprehensive curriculum and intensive experiential experience inherent in a formal degree program.

Preferred Qualifications:

• Bachelor’s degree in Management Information Systems, Computer Science, Data Science, Information Technology, or a related field.
• Experience with Python programming.
• Experience with SQL and data analysis.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively.
• Experience with large language models (LLMs) or generative AI tools.
• Experience with Pandas, Power BI, Tableau, or other data visualization tools.
• Experience with Git or collaborative software development.
• Interest in artificial intelligence, cybersecurity, or power systems.
• Experience developing AI-assisted applications or workflow automation.

Additional Role Information:

Sponsorship eligibility:

Candidates must be legally authorized to work in the U.S. on an ongoing basis without sponsorship.

How to Apply

Please submit the following documents:

• Resume

Application Window

Applications close on: July 30, 2026

Anticipated Hiring Pay Range

$25.76 per hour