AI/ML Power Systems Modeling Graduate Student Intern (GRA)
Los Alamos National Laboratory
Description
Job Title AI/ML Power Systems Modeling Graduate Student Intern (GRA)
Location Los Alamos, NM, US
Organization Name A-1/Information Systems and Modeling
Minimum Salary
Maximum Salary
What You Will Do
Come join the best and brightest minds in the world at one of the most innovative and creative multidisciplinary research institutions engaged in strategic science on behalf of national security. The Information Sciences and Modeling Group (A-1) develops information systems and models to understand complicated threat scenarios, like weapons of mass destruction, hurricanes, and infectious disease outbreaks. We are seeking a creative and resourceful Graduate Research Assistant (GRA) with a degree in a STEM field to join our Critical Infrastructure team for a year-round paid internship. You will work on leveraging cutting-edge artificial intelligence (AI) and machine learning (ML) methods to study security assessment, reliability, and resilience on electrical power systems.
What You Need
Minimum Job Requirements:
Desired Qualifications:
Work Location : The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants: When applying, please upload your resume, cover letter, and final transcripts showing proof of degree completion.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
§ PPO or High Deductible medical insurance with the same large nationwide network
§ Dental and vision insurance
§ Free basic life and disability insurance
§ Paid childbirth and parental leave
§ Award-winning 401(k) (6% matching plus 3.5% annually)
§ Learning opportunities and tuition assistance
§ Flexible schedules and time off (PTO and holidays)
§ Onsite gyms and wellness programs
§ Extensive relocation packages (outside a 50 mile radius)
Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regard to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call 1-505-664-6947 option 2 and then option 3.
Employment Status Full Time
Appointment Type GRA
GRA
Job Title AI/ML Power Systems Modeling Graduate Student Intern (GRA)
Location Los Alamos, NM, US
Organization Name A-1/Information Systems and Modeling
Minimum Salary
Maximum Salary
What You Will Do
Come join the best and brightest minds in the world at one of the most innovative and creative multidisciplinary research institutions engaged in strategic science on behalf of national security. The Information Sciences and Modeling Group (A-1) develops information systems and models to understand complicated threat scenarios, like weapons of mass destruction, hurricanes, and infectious disease outbreaks. We are seeking a creative and resourceful Graduate Research Assistant (GRA) with a degree in a STEM field to join our Critical Infrastructure team for a year-round paid internship. You will work on leveraging cutting-edge artificial intelligence (AI) and machine learning (ML) methods to study security assessment, reliability, and resilience on electrical power systems.
What You Need
Minimum Job Requirements:
- Currently enrolled in an accredited graduate program in electrical engineering or other relevant discipline.
- Must be enrolled in at least 6 semester credit hours (or full-time equivalent).
- Must currently have and maintain a cumulative GPA of at least 3.2 on a 4.0 scale (or equivalent).
- Desire to Learn: The desire to continually learn new things, as well as being open to working on a variety of topics.
- Programming proficiency with Python, MATLAB, or Julia.
- Proficiency in common ML libraries such as scikit-learn, PyTorch, or TensorFlow.
Desired Qualifications:
- Experience in power system modeling and simulation.
- Familiarity with tools such as PowerWorld, MATPOWER, PSSE, PowerModels, Simscape, PSIM, or PSCAD.
- Experience with generative adversarial networks (GAN) and Bayesian inference.
- Relevant power engineering experience at electric utilities or through a senior design project is preferred.
Work Location : The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants: When applying, please upload your resume, cover letter, and final transcripts showing proof of degree completion.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
§ PPO or High Deductible medical insurance with the same large nationwide network
§ Dental and vision insurance
§ Free basic life and disability insurance
§ Paid childbirth and parental leave
§ Award-winning 401(k) (6% matching plus 3.5% annually)
§ Learning opportunities and tuition assistance
§ Flexible schedules and time off (PTO and holidays)
§ Onsite gyms and wellness programs
§ Extensive relocation packages (outside a 50 mile radius)
Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regard to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call 1-505-664-6947 option 2 and then option 3.
Employment Status Full Time
Appointment Type GRA
GRA
JOB SUMMARY
AI/ML Power Systems Modeling Graduate Student Intern (GRA)Los Alamos National Laboratory
Los Alamos
a month ago
N/A
Full-time