Full Job Description
Oak Ridge National Laboratory (ORNL)
Oak Ridge National Laboratory (ORNL) is the largest U.S. Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy, environment, and security.
The successful candidate will be involved in a multi-organizational research initiative named Science-informed Machine learning to Accelerate Real Time decision making for Carbon Storage (SMART-CS). SMART-CS will significantly improve efficiency and effectiveness of field-scale CO2 storage by leveraging recent advances in science-based machine learning. Phase I of the SMART-CS initiative will focus on generating proof of concepts for transformational approaches to create a higher likelihood of success before moving into development during Phase II.
Specifically, the successful candidate will be involved in SMART Task 3 Evaluation of Technology Pathways to Image Stress and Pressure of the SMART-CS Phase 1. Task 3 is organized around two central tasks requiring construction of a 4D-visualization of how the stress and pressure fields evolve, with identification of features, changes, or anomalies that require further scrutiny. Machine learning will be applied in a number of different contexts: (a) Tedious-task replacement; (b) Anomaly detection; (c) Predictive model construction; and (d) Classification and pattern recognition.
Candidates should recently have completed a master's degree in data science or a related field.
Extensive experience in C, C++, Fortran, Python, MatLab, Julia, and other generic programming and scripting languages.
Some knowledge of geophysical signals, such as body and surface waves.
Previous experience on seismo-acoustic signal processing.
Experience on application of machine learning algorithms to seismic data.
The candidate is expected to have a record of publishing peer-reviewed papers in international journals and presenting results at international meetings.
Demonstrated accomplishments of scientific research or a record of developing and executing research programs is a must.
A background that includes cluster computing, method development, and compiled programming (C, C++, Fortran 77/90), as well as scripting programming (Python, MatLab, Julia, awk) is strongly desirable.
Demonstrated problem-solving skills, a willingness to apply those skills to a variety of problems, and the ability to determine and understand the broader context of his/her research.
Living in East Tennessee: While the opportunity to work at ORNL is an amazing experience in itself, it’s easy to overlook everything else East Tennessee has to offer if you haven’t had the opportunity to spend time here. From spending your weekends downtown at Knoxville’s farmers market, the Rhythm n’ Blooms Music Festival, or the Dogwood Arts Festival, to some of the best hiking, kayaking, and camping in the U.S., East Tennessee has something to offer everyone.
The ORNL Post-Master’s Research Associate Program is administered by Oak Ridge Associated Universities through its contract with DOE to manage the Oak Ridge Institute for Science and Education (ORISE).
Degree: Master's Degree received within the last 60 month(s).
Computer Sciences (17 )
Age: Must be 18 years of age
ORAU is an Equal Opportunity Employer (EOE AA M/F/Vet/Disability); visit the ORAU website for required employment notices.