Graduate AI/ML Cybersecurity Intern (XAI & Uncertainty)

National Laboratory of the Rockies

Ümraniye

On-site

TRY 2,547,000 - 4,075,000

Full time

10 days ago

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Job summary

National Laboratory of the Rockies invites a Graduate Intern for 10-12 weeks to work on AI/ML for cybersecurity of critical energy infrastructure. The role emphasizes explainability, uncertainty quantification, and robust AI methods for control-room operators.

The intern will collaborate with cybersecurity researchers and AI teams, applying XAI techniques and visualization to improve model transparency and operator readiness while maintaining a 40-hour work week.

Qualifications

  • Minimum 3.0 GPA.
  • Full-time student pursuing a bachelor’s degree in a relevant field.
  • Graduate/Master or PhD student; recent grads within 12 months; internship up to 1 year.
  • Transcript upload required as part of application.
  • Letter of recommendation may be requested during hiring.

Responsibilities

  • Explainable AI methods to make ML models transparent for operators.
  • Apply statistical techniques to quantify model confidence and uncertainty.
  • Analyze grid cyber-physical datasets to extract patterns.
  • Explore ML safety techniques to ensure robust behavior under distribution shifts.
  • Support visualization and alert design for operators.
  • Collaborate with researchers to integrate explainability modules and document results.

Skills

Python
PyTorch
TensorFlow
Hugging Face
Explainable AI
ML safety
Uncertainty modeling
LLMs

Education

CS / Cybersecurity / EE / AI / Applied Math / Statistics degree

Tools

Captum
SHAP
LIME

Job description

National Laboratory of the Rockies invites a Graduate Intern for 10-12 weeks to work on AI/ML for cybersecurity of critical energy infrastructure. The role emphasizes explainability, uncertainty quantification, and robust AI methods for control-room operators.

The intern will collaborate with cybersecurity researchers and AI teams, applying XAI techniques and visualization to improve model transparency and operator readiness while maintaining a 40-hour work week.

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