Requisition Id 5700
Oak Ridge National Laboratory seeks a systems engineer who will focus on optimization, stochastic modeling, estimation theory and optimal control to enable data-driven understanding of networked control systems. This position will involve working closely with a team of engineers to address challenging problems in resource optimization, cyber security, and modeling in large-scale infrastructures including sustainable energy and communications. The successful candidate will work with a technically diverse team to accelerate computationally expensive aspects of a variety of resource optimization and control problems with novel algorithmic methods. These methods will be implemented using modern tools/practices and work closely with computational scientists to scale on high performance computing (HPC). This position resides in Systems Engineering and Cybernetics Group in the Computational Sciences & Engineering Division of the Computing & Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL). Oak Ridge National Laboratory's Computing and Computational Sciences Directorate conducts state-of-the-art research and development in computing and computational sciences in support of DOE's missions and programs. We develop and deploy leading edge computing and information technology capabilities to keep computational sciences at a level comparable to experimental sciences in the pursuit of scientific discovery and technical innovation.
As part of our research team, you will…
- Design, develop, and evaluate innovative techniques for optimal resource allocation, large-scale optimization, and data-driven understanting of networked control systems, with applications in energy systems.
- Create novel models, simulation technologies, and experimental methods to support test and evaluation of very large scale, software intensive networked control sytems.
- Evaluate trade-offs between performance, cost, and risk with respect to cybersecurity for networked control systems.
- Collaborate closely with power system researchers at ORNL to integrate novel energy management systems into ancillary grid services for demand response, frequency regulation, and voltage control.
- Publish research findings in high impact journals and conferences.
- A PhD in Systems Engineering, Electrical Engineering, Computer Science, Computer Engineering, or other field relevant to the job duties.
- Excellent interpersonal skills for working within a highly diverse team, as well as strong oral and written communications skills, good organizational habits, and a high degree of personal motivation.
- Expertise in game-theory, non-linear optimization, estimation theory, and queing theory with applications in cybersecurity, communications and energy optimization.
- Experience with software development using Python, C++, and other objected oriented programming languages.
- Familiarity with simulation tools and techniques for discrete event, continuous, and hybrid systems.
- Multi-displinary interests cutting across controls, communications, and optimization in a variety of domains.
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.
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: https://www.ornl.gov/content/research-integrity
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.