Job description

Requisition Id 11663


Overview:


The National Security Sciences Directorate at Oak Ridge National Laboratory leads scientific and technological breakthroughs to confront some of the nation’s most difficult security challenges. We develop interdisciplinary applications needed for the security of our nation today and target our vision on how these challenges may manifest themselves in a decade or more. Our research and development focuses on cybersecurity and cyber physical resiliency, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing for sensitive national security missions. We also enhance ORNL contributions to national security challenges by working closely with leading researchers at the lab in areas such as nuclear and chemical sciences and engineering, applied materials, advanced manufacturing, biosecurity, transportation, and computing. We are currently seeking a qualified data scientist with substantial experience in spatiotemporal data analytics to join our GeoAI group within the Geographic Data Science Section of Geospatial Science and Human Security Division. We are interested in candidates experienced in solving spatial and spatiotemporal challenges with demonstrated skill sets in managing, analyzing, visualizing, and publishing on R&D results. Examples of the data you will work with include but are not limited to georeferenced times series derived from longitudinal survey data (economics, census, sociocultural, etc.), network data (e.g., international trade, social media, transportation), remote sensing (earth observation systems, optical, multispectral, SAR, LiDAR, etc.), climate (earth observation, ground sensors, etc.). Analytics include ST data mining, change detection, trend clustering, graph networks, visualization, machine learning, and nowcasting. In this role, you will work with a team to develop theoretical and applied expertise to solve at scale problems across a range of application domains including climate change security, socio-economic security, transportation, population dynamics, built environment, and quality control at scale. The position requires strong skills in computer science, data science, machine learning, with experience in conceptualizing and developing prototype code and workflows.


Within the GeoAI group, you will have the opportunity to develop and publish on novel solutions to national and global problems using cutting edge spatial and spatiotemporal methods. You will be able define and grow your scientific brand at ORNL through your success in projects, laboratory presentations and networks, and through the cross-directorate interdisciplinary teaming. You will have an opportunity to grow your career with high external visibility by attending, presenting, and networking at peer reviewed conferences.


Major Duties and Responsibilities:


  • Contribute to interdisciplinary research teams solving spatial and spatiotemporal challenges at scale in data mining, machine learning, change detection, inferencing, nowcasting, uncertainty quantification, and quality control.
  • Contribute to the conceptualization and design of new algorithms for performing ST Analytics.
  • Support software engineering needs for transition from prototype to deployment.
  • Forge collaborations with other researchers, both internally at ORNL and externally, on topics of mutual interest.
  • Contribute or lead publications on relevant work in peer reviewed journals and conferences.
  • Participate in the development of proposals for data science related research projects.
  • Publish work in peer reviewed journal articles, conference papers, and reports.
  • Exercise scientific integrity in proposing, performing, and communicating research.
  • Ensure all work is carried out safely, securely, and in compliance with ORNL policies, standards, and procedures.
  • Exemplify a commitment to excellence in research, operations, and community engagement, and work cooperatively to leverage scientific capabilities across ORNL.
  • Work in a highly collaborative environment with data scientists, machine learning scientists, remote sensing scientists, engineers, physicists and geographers to deliver systems from prototyping to production level.
  • Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace - in how we treat one another, work together, and measure success.


Basic Requirements:


  • Requires a Ph.D., an M.S. with a minimum of 1 years of experience, or a B.S. with 2 years of experience and a focus on applied mathematics, statistics, or data science.
  • Experience programming in Python, R, or similar.
  • Experience working with spatio-temporal datasets especially georeferenced time series data.
  • Demonstrated experience designing and developing prototype code and workflows
  • Interpersonal skills with a demonstrated experience in successfully working in team environments.
  • Strong written and oral communication skills.


Preferred Qualifications:


  • A track record of peer reviewed publications in spatiotemporal applications
  • Experience working in a national laboratory engaged in defense and security applications.
  • Working knowledge or strong interest in Bayesian analysis and Causality
  • Strong drive to learn new topics and skills, to develop innovative products for our customers, and build new programs to expand our capability.


Special Requirement:


This position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. This position requires the ability to obtain a DOE Clearance.


The National Security Sciences Directorate conducts research and development to confront some of the nation’s most difficult security challenges and adversaries. Our directorate houses S&T leadership in cybersecurity and cyber-physical resiliency, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing for sensitive national security missions. We draw on the Laboratory’s exceptional facilities and work closely with leading researchers in other areas at the lab such as nuclear and chemical sciences and engineering, applied materials, advanced manufacturing, biosecurity, transportation, and computing. Our multi-disciplinary research teams are passionate about discovery and innovation as we create science-based solutions to complex security threats that put public safety, national defense, energy infrastructure, and the economy at risk.


Our commitment to diversity:


As we strive to become the world’s premier research institution in the sciences and technologies that underpin critical national security missions, we are committed to creating an inclusive environment that highly values a diverse workforce. We recognize that a breadth of perspectives, insights, and experiences are necessary to drive the level of innovation and discovery that is mission critical to national security sciences. Our commitment extends beyond our workforce to the next generation of researchers with STEM education outreach that seeks to engage a diverse range of students.


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.

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