Data Science AI/ML Co-op (Fall 2026)

About the role

Battelle is seeking a Data Science Co-Op for Spring and/or Summer Semester 2026. This position is 100% onsite, full-time, located in Columbus, OH, and supports Battelle’s Cyber Trust & Assurance division, in our National Security Global Business.

Responsibilities

• Aid in the design and implementation of machine learning, data mining, data fusion, and data engineering techniques applied to cyber microelectronics security problems
• Assess the security, reliability, and trustworthiness of electronic devices, integrated circuits, and embedded systems
• Support the latest Cyber Trust and Analytics team’s research and development programs
• Learn and improve your engineering skills through project and team building activities
• Conduct and / or participate in assigned technical tasks and activities with minimum supervision and within time and budget constraints
• Work independently and effectively in a multi-disciplinary team environment
• Effectively communicate ideas with other engineers

Key Qualifications

• Currently enrolled in a bachelor’s, Master’s or Doctorate degree program in Data Science, Physics, Computer Engineering, Materials Science, Statistics, Mathematics, Systems Engineering or related field of study
• At least 1-year of college-level coursework completed
• Experience with high-level software languages such as Python, R, or MATLAB
• Basic machine/statistical learning approaches and validation techniques
• Ability to demonstrate organization, communication, problem-solving, and teamwork skills
• Interest in one or more of the following areas: Digital design and microcontrollers, VLSI Integrated circuit design, Semiconductor device fabrication / physics, Integrated circuit failure analysis, Deep neural network approaches, Signal Processing, Machine learning on graphs, Data integration (e.g., Hierarchical Bayes)
• Ability to apply learned skills to real-life scenarios (e.g., research, publication, blogs, GitHub, Arxiv, Kaggle competitions, internships, hack-a-thons, cybersecurity clubs, CTFs, etc.)
• Reverse engineering embedded hardware and software
• Programming and using data acquisition tools
• Experience with one or more of the following areas: Big data methods, Databases (SQL, NOSQL, graph DB), Writing or debugging software code in C or C++ or C#, Reverse engineering hardware or software, CAD or layout experience, VLSI design coursework, FPGA design workflows, Microcontroller design and assembly languages, Semiconductor fabrication and analysis processes

Preferred Qualifications

• Ability to apply learned skills to real-life scenarios (e.g., research, publication, blogs, GitHub, Arxiv, Kaggle competitions, internships, hack-a-thons, cybersecurity clubs, CTFs, etc.)
• Reverse engineering embedded hardware and software
• Programming and using data acquisition tools
• Experience with one or more of the following areas: Big data methods, Databases (SQL, NOSQL, graph DB), Writing or debugging software code in C or C++ or C#, Reverse engineering hardware or software, CAD or layout experience, VLSI design coursework, FPGA design workflows, Microcontroller design and assembly languages, Semiconductor fabrication and analysis processes

Pay

The hourly range for this role is $20 - $40. A candidate’s salary is determined by various factors, including but not limited to education, relevant work experience, skills, and certifications. Salary ranges may vary based on geographic location and market conditions.