Graduate (10-12 weeks) Intern - AI/ML for Cybersecurity

What you’d do

Graduate intern conducts hands-on research applying machine learning and statistics to cybersecurity for energy infrastructure, focusing on explainable AI methods and uncertainty quantification for power grid substation tools. Full time, 10-12 weeks. Found on the employer's careers page on Oct 21, 2026. Apply through the link.

You’ll need

• Minimum 3.0 cumulative GPA
• Enrolled full-time in bachelor's program or bachelor's earned within past 12 months
• Machine learning and statistics skills
• Explainable AI methods (attribution maps, rule extraction)
• Uncertainty quantification (conformal prediction, Bayesian NNs)