Pacific Northwest National Laboratory PhD Intern - MSIPP-EM PhD Intern Deep learning inversion of electromagnetic data using convolutional neural networks in RICHLAND, Washington
Organization and Job ID
Job ID: 310388
Directorate: Energy & Environment
Division: Earth Systems Science
Group: Subsurface Science & Technology
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.
Traditional inversion of geophysical electromagnetic data suffers many challenges including computational cost, non-uniqueness, non-linearity. In this project, we plan to develop a deep learning (DL) inversion framework for instantaneously estimating subsurface conductivity distribution from electromagnetic data. The idea is to train a convolutional network on synthetic data sets for 1D/2D subsurface conductivity models and, once trained, use it to predict subsurface conductivity distribution for other (not seen) data sets. With the successful demonstration of the developed DL inversion scheme on synthetic data, we plan to test it for inverting field airborne/land electromagnetic data at the Hanford site in Richland, WA.
Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. Minimum GPA of 3.0 is required.
MUST BE A U.S. CITIZEN
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.
Other qualifications include:
Skills in numerical method, machine learning, deep learning and scientific programming including python
Experience of using deep learning libraries, e.g., TensorFlow, Keras, Caffe, PyTorch.
Graduate student in computational geophysics, physics, applied mathematics, or computer science
Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment.
Laboratory work will be performed in PNNL laboratory facilities and involves working with high temperatures (<1200 °C) and pressures, selected hazardous chemicals (acids, bases, etc.), trace levels of hazardous materials (RCRA heavy metals), and fine powders (silica, nanoparticles, etc.).
Directorate: Energy & Environment
Job Category: Master's and PhD Level Internships
Group: Subsurface Science & Technolog
Opening Date: 2020-01-30
Closing Date: 2020-03-05