Oak Ridge National Laboratory, National Security Sciences Directorate

Position ID: 2498-RD [#15891]
Position Title: R&D Associate in Machine Learning and Mathematics
Position Location: Oak Ridge, Tennessee 37830, United States [map]
Application Deadline: (posted 2020/04/17, listed until 2020/10/17)
Position Description:    

*** the list date or deadline for this position has passed. ***

Who are we looking for?

The Geographic Data Science Group in the National Security Emerging Technology (NSET) Division at Oak Ridge National Laboratory (ORNL) seeks a talented researcher to apply mathematics, machine learning, and data science to the research and development of algorithms for remote sensing imagery and other spatial and spatiotemporal referenced data.

What will you be doing?

As a research scientist in the Geographic Data Science Group, you will work on challenging, multi-disciplinary projects that advance data science methods, software, and systems. Solving problems motivated by national security challenges, you will have the opportunity to work with a talented team, expand your skills, publish your findings, and leverage world-class computing facilities.

This particular position focuses on researching and applying methods in mathematics and machine learning to model and analyze remote sensing data, imagery, geospatial information, global open source data, and other sources of information in order shed light on the human and physical landscapes that shape our national concerns. Applications include object detection, image classification, computer vision, and decision support. These applications are rolled out as solutions that directly impact capabilities in national defense, emergency management, agricultural and urban resiliency, infrastructure security, and human dynamics. Methods include artificial intelligence, mathematical modeling, numerical optimization, data mining, uncertainty quantification, and many more.

What sets this opportunity apart from many research and data science career opportunities is the sheer scale of analysis and possible impact. ORNL is developing massive, advanced workflows that process and analyze global imagery and geographic data on platforms with astonishing computational power, such as the Summit supercomputer. This position offers a unique opportunity to combine skills in mathematics, machine learning, and scientific computing. Working alongside the other renowned scientists and engineers who are seeking to push the limit of computational power at Oak Ridge, you will scale your methods and analysis to deploy high-performance computing solutions for problems of national and worldwide importance.

Job Activities

Contribute to the conceptualization, design, and implementation of new models, methods, and algorithms that solve pressing data science challenges.

Prototype new algorithms as proof of concept and contribute to optimizing and scaling algorithms.

Support research and development efforts in machine learning, artificial intelligence, mathematical and statistical modelling, and scientific computing.

Promote your own career by contributing to team publications in journals, participating in conferences, and writing open source software.

Basic Requirements:

Master’s degree or higher in pure or applied mathematics, or in a related field with commensurate experience. A thorough knowledge of linear algebra, abstract algebra, analysis, and numerical analysis is required.

Two or more years of professional experience in mathematics, programming, machine learning, or data science.

Demonstrated ability in researching and applying machine learning and deep learning. Proficiency in Linux, Bash, and standard Unix command-line tools.

Substantial programming experience in Julia, Rust, Haskell, Common Lisp or Scheme, C++, Python, or other similar languages.

Excellent skills in technical writing, communication, and teamwork.

Preferred Qualifications:

PhD in pure or applied mathematics or a similar field, or a Master’s degree with a proven track record of research or publications.

Experience with Julia, functional programming, high performance computing, GPU programming, and git.

Experience with automatic differentiation and differentiable programming, and/or probabilistic programming and Bayesian machine learning.

Experience applying machine learning to imagery, spectral data, 3D point clouds, and multimodal input.

Knowledge of remote sensing and GIS analysis and data such as multispectral and hyperspectral data, spectral analysis, lidar, and geographic metadata. Experience with tools such as QGIS, GDAL, and PostGIS.

Special Requirement

This position requires the ability to obtain and maintain a clearance from the Department of Energy, which requires US Citizenship. As such, this position is a Workplace Substance Abuse program (WSAP) testing designed position which requires passing a pre-placement drug test and participation in an ongoing random drug testing program in which employees are subject to being randomly selected for testing.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

We are not accepting applications for this position through Mathjobs.Org right now. Please apply at https://jobs.ornl.gov/job/Oak-Ridge-R&D-Associate-in-Machine-Learning-and-Mathematics-TN-37831/644768500/?locale=en_US.
Web Page: https://www.ornl.gov/science-area/national-security

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