Postdoctoral Research Associate - AI/ML for 3D Geospatial Modeling with Mul

at  Oak Ridge National Laboratory

OVERVIEW:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.
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 seeking a Postdoctoral Research Associate who will support the GeoAI Research Group within the Geospatial Science and Human Security Division at Oak Ridge National Laboratory (ORNL) to leverage multi-modality geospatial data for 3D geospatial modeling and monitoring. The research outcomes would be leveraged to enhance the understanding of environments, support disaster responses and implement disaster mitigation strategies.
Within the GeoAI group, you will have the opportunity to develop and publish on novel machine learning based solutions to national and global problems. Research activities include the design of efficient data fusion workflow, validations outcomes and collaborate with scientists with similar interests across the laboratory. You will be able to 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 also have an opportunity to grow your career with high external visibility by attending, presenting, and networking at peer reviewed conferences.

BASIC QUALIFICATIONS:

• A PhD in electrical and computer engineering, remote sensing, geomatics, geoscience, or a related field completed within the last 5 years
• Experience in developing AI/ML methods for analyzing large-scale geospatial data
• Strong research profile and be able to conduct independent research
• Strong written and oral communication skills

PREFERRED QUALIFICATIONS:

• Experience working with spatial-temporal datasets, remote sensing imagery, simulations, and time series analysis
• Hands-on experience with training machine learning models on high performance computing infrastructures leveraging GPU accelerators
• Experiences building data-fusion workflows to ingest multi-modality geospatial data.
• Knowledge of importance of human in the loop in GeoAI enabled decision making process.
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs
• Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs
  Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.
  Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

• Login to your account via jobs.ornl.gov
• View Profile
• Under the My Documents section, select Add a Document

• Investigate data fusion and machine learning methods to analyze multimodal geospatial data (optical, point clouds, SAR, vector, etc.) for enabling GeoAI-based mapping and tracking of urban dynamics.
• Contribute to the conceptualization and design of new data-driven algorithms for 3D geospatial digital twins modeling to support modeling and predicting natural hazards.
• Participate in the development of proposals for research projects.
• Publish research results in journal articles, conference papers, and technical manuals.
• Lead by example to 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, HPC engineers, and geographers to deliver research and development prototypes.
• 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.
  This position reports to a Group Leader and works closely with R&D Section Heads to implement the group’s scientific vision; develop group members to enable their career advancement; establish capabilities that enable programs to excel at the forefront of science and technology; perform R&D to advance the field of knowledge and/or technology in one’s respective specialty; sets, implements, and models standards for performance of work consistent with Environment, Safety, Security, Health, and Quality (ESH&Q) requirements and business rules; and ensures a diverse and inclusive work environment where every employee feels safe, heard, and appreciated—a workplace that sets an example for the broader community.
  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.