Machine Learning Through Fault Physics Internship
Apply online at https://www.zintellect.com/Opportunity/Details/DOE-MSIPP-21-11-LANL.
Organization
U.S. Department of Energy (DOE)
Reference Code
DOE-MSIPP-21-11-LANL
How to Apply
- Completion of all required fields in the application and successful application submission
- Undergraduate or graduate transcripts as appropriate
- Two recommendations
If you have questions, send an email at MSIPPInternships@orau.org. Please include the reference code for this opportunity in your email.
For Technical information, contact Cassandra Casperson at Casperson@lanl.gov.
Certification:
I certify that I am at least 18 years of age, a US citizen, and have received a Bachelor's Degree or Master’s Degree within the last 6 months or currently pursuing a Bachelor's Degree, Master’s Degree or Doctoral Degree in a STEM field at an accredited Minority Serving Institution (MSI). Click here to verify that you are enrolled at a current MSI.
Application Deadline
1/29/2021 11:59:00 PM Eastern Time Zone
Description
The Minority Serving Institutions Partnership Program (MSIPP) Internships is a new program to promote the education and development of the next generation workforce in critical science, engineering, technology, and math (STEM) related disciplines that complement current and future missions of DOE national laboratories. The MSIPP Internship program is designed to provide an enhanced training environment for next generation scientists and engineers by exposing them to research challenges unique to our industry.
MSIPP Interns will be given the opportunity to complete Summer Internships aligned with ongoing U.S. Department of Energy Office of Environmental Management (DOE-EM) research under the direction of a host national laboratory. The internship will be performed at the host national laboratory, utilizing their facilities and equipment under the guidance of a research staff member.
Minority Serving Institutions are institutions of higher education enrolling populations with significant percentages of undergraduate minority students.
Project: Over the last 5 years, our team at the Los Alamos National Laboratory has been developing machine learning methods to extract small signals from noisy geophysical datasets that can be related to the physical state of faults. Along the years, the team has generated large amounts of data that remain to be explored. As a participant to this internship program, you will be building machine learning and/or deep learning models in order to extract meaningful information on physical properties of faults (time remaining before failure, deformation rate, etc.) from our geophysical datasets (seismic, geodetic).
The project can be performed remotely if COVID-related restrictions are still in place at the time of the internship.
Salary: Selected candidate will be compensated by either a stipend or salary, and may include one round trip domestic travel to and from the host laboratory. Stipends and salaries will be commensurate with cost of living at the location of the host laboratory. Housing information will be provided to interns prior to arrival at the host laboratory, and will vary from lab to lab.
Qualifications
Eligible applicants must:
- Be a citizen of the United States,
- Be at least 18 years of age,
- Currently enrolled as a full-time undergraduate or graduate student at an accredited Minority Serving Institution, https://orise.orau.gov/msipp/documents/approved-msi-school-list.pdf,
- Working toward a science, technology, engineering, or mathematics (STEM) degree,
- Have an undergraduate or graduate cumulative minimum Grade Point Average (GPA) of 3.0 on a 4.0 scale, and
- Pass a drug test upon selection to participate in the MSIPP *The process and timing for drug testing varies from lab to lab. Use of Marijuana/Cannabis or its derivatives if prescribed is legal in some states. However, having these drugs in your system is NOT legal at United States Federal Contractor sites and National Laboratories.
Required Knowledge, Skills, Work Experience, and Education
Successful candidates will:
Proficiency in a general programming language (preferably Python) is required.
Desired Knowledge, Skills, Work Experience, and Education
- Knowledge in machine learning would be an asset but is not a requirement, and training in machine learning will be available from the team, who has a long track record of publications in the domain.
- Knowledge in geoscience in general, and tectnophysics and solid mechanics in particular, would also be an asset but is not a requirement.
It is desirable for the candidate to have:
- GPA 3.0 for undergraduate
- GPA 3.2 for graduate
Eligibility Requirements
- Citizenship: U.S. Citizen Only
- Degree: Bachelor's Degree, Master's Degree, or Doctoral Degree received within the last 6 months or currently pursuing.
- Overall GPA: 3.20
- Discipline(s): Computer, Information, and Data Sciences (17 )
- Earth and Geosciences (20 )
- Engineering (27 )
- Mathematics and Statistics (11 )
- Nanotechnology (1 )
- Other Physical Sciences (12 )
- Physics (16 )
Affirmation
Certification:
I certify that I am at least 18 years of age, a US citizen, and have received a Bachelor's Degree or Master’s Degree within the last 6 months or currently pursuing a Bachelor's Degree, Master’s Degree or Doctoral Degree in a STEM field at an accredited Minority Serving Institution (MSI). Click here to verify that you are enrolled at a current MSI.