Machine Learning Internship

Machine Learning for Condition Monitoring 

Internship 

The mission of the Department of Energy, Office of Environmental Management’s (DOE-EM) University Programs creates and supports a sustainable career pathway that prepares a workforce of talented students to make immediate and significant contributions to DOE-EM. To achieve this mission, EM University Programs develop strategic partnerships between colleges and universities, investing in student enrichment programs, curriculum development, research efforts, and internship and post-graduate opportunities. 

The Internship is a 10-week summer experience where participants complete research projects that are relevant to EM’s ongoing mission. The internships are supported by six U.S. Department of Energy (DOE) National Laboratories as well as the EM headquarters. Projects assigned to interns are presented at the end of their internship in either poster session or paper depending on the host laboratory. 

Position Summary: 

The Intern will support the following objectives daily: 

• Test diverse machine learning algorithms for survival analysis 
• Quantify data and machine learning model uncertainties 
• Utilize effective communication skills to report findings 

Minimum Qualifications:

• The successful candidate must be a US Citizen 
• Must have graduated from or enrolled in a MSI 
• Must be eligible for security clearance based on position requirements 
• Enrolled in an undergraduate STEM program and have a current cumulative GPA of 3.0 on a 4.0 scale.  

Preferred Qualifications 

• Hands-on experience with Machine Learning 
• Python and software development experience

Security Clearance Information
This position will require selected candidates to be able to obtain a DOE Security Clearance.