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Group Leader, Computational Urban Sciences

Date: Sep 17, 2022

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 8856 


The Computational Sciences and Engineering Division ( in the Computing and Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL) is seeking an experienced senior scientist to lead the Computational Urban Sciences Group (CUSG). CUSG is comprised of multi-disciplinary scientists with a research portfolio that spans applied research at the intersection of computational science and complex urban systems in the emerging environment of smart cities, transportation and mobility, infrastructure planning, energy infrastructures, modernizing electric grids, smarter and sustainable mobility, multisector impacts of severe weather and climate, data driven emergency response, and resiliency. Scientific advances are enabled by the growing body of technologies including big-data, high-performance computing, modeling and simulation, machine learning, and visualization. With recent and expected increases in federal funding from the Department of Energy (DOE) and other federal agencies in areas such as modeling and simulation, HPC, mobility, and smart grids, CUSG is experiencing rapid growth. The successful candidate will provide the scientific, technical, and strategic leadership for the group with priorities to enhance its R&D portfolio and scientific impact. The candidate will lead the effort to respond to new funding opportunities and will guide the ongoing growth and development of the research staff to carry out the group’s and the division’s science that agenda.


Major Duties and Responsibilities:

  • Lead the multi-disciplinary group of scientists to align their science objectives with the group’s, the division’s, the lab’s, and the DOE’s science mission.
  • Oversee and grow the high-quality applied research in areas related to urban sciences, energy infrastructure, across major DOE initiatives and supported by big-data, high-performance computing, modeling and simulation, machine learning, and visualization.
  • Nurture the development of new insights, methods, and algorithms into tangible solutions such as research prototypes, operational tools, or data capabilities.
  • Pursue new scientific and technical directions, creatively participate in and lead program development, build a network of collaborators and sponsors, and expand the Urban Computing Group’s footprint.
  • Collaborate with multi-disciplinary application scientists inside and outside of the laboratory to integrate with core ORNL strengths in applied science and high-performance computing. This includes collaboration with ORNL’s relevant institutes and initiatives, academic institutions, and industry partners.
  • Conduct state-of-the-art research as part of the group and publish results in peer reviewed journals and conferences proceedings and produce other relevant artifacts, e.g. software.
  • Interact with the appropriate program offices and other agencies to develop and maintain program funding for research in relevant areas of urban computing applications.
  • Represent group-level work to review committees and outside bodies as appropriate.
  • Manage staff within the group, including the selection and retention of highly qualified staff; the development of staff capabilities; and ensuring that staff members are effectively utilized, rewarded, and motivated.


Basic Qualifications:

  • PhD in a field of study related to data science, high-performance computing, simulations, and visualization including, but not limited to the disciplines of computer science, mathematics, or geography.
  • 12+ years of demonstrated research and/or project management experience complementary to the mission and purpose of the group, for example in building large-scale geospatial information systems, artificial intelligence in energy infrastructure systems, disaster risk analysis and emergency management
  • Experience engaging with government or other funding agencies to capture sponsored research programs. Successful track record of proposal preparation and obtaining competitive funding awards.
  • A successful track record of publications, technical papers/presentations for sponsors, interactions with potential lab customers, with invited presentations at universities and conferences.
  • Experience writing successful R&D proposals to multiple government agencies.
  • Excellent interpersonal skills, the ability to work independently, outstanding written and oral communication skills, good organizational skills.


Preferred Qualifications:

  • Extensive hands-on experience in attracting, conducting, and directing integrated R&D efforts with a proven record of R&D success.
  • Deep understanding of data-driven science and technology for urban science applications.
  • Experience with working with a variety of simulation engines such as UrbanSim, AnyLogic, optimization, risk analysis, higher-order graph analytics, AI/ML, GIS-based renewable energy siting, data-driven approaches for anomaly detection, and applying the simulation output to devise solutions to applied research problems.
  • Experience with high-performance computing applications on leadership computing systems for large-scale simulation.
  • Ability to function well in a dynamic research environment, set priorities to accomplish broad programmatic and scientific impacts.


ORNL Ethics and Conduct: 

As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here:


Benefits at ORNL:  

UT-Battelle offers a quality benefits package, including a matching 401(k), contributory pension plan, paid vacation, and medical/dental plan options. Onsite amenities include a credit union, medical clinic, cafeteria, coffee stands, and fitness facilities.   



Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

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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.

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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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