Intelligent Systems Postdoctoral Research Associate

2 months ago


Idaho Falls, United States Idaho National Laboratory Full time
Job Description

The Idaho National Laboratory (INL) is seeking a well-qualified Postdoctoral Research Associate in electrical engineering, aerospace engineering, computational engineering/science, or comparable engineering discipline for the Systems Engineering & Integration Department reporting to the the Resilient and Intelligent Systems Technical Lead. Our team works a 9x80 schedule located out of our Idaho Falls facility with every other Friday off. You will focus on the application of diverse systems theories and applications including monitoring, control, agile supervision, computational intelligence (e.g., artificial intelligence, machine learning, digital twins), optimization, data analytics, and uncertainty quantification. Having broad mathematical and computational skills is desirable. Our team rigorously formulates, develops, realistically demonstrates, and delivers state-of-the-art resilient and intelligent-systems solutions, involving also prototyping applicable architectures and data workflows, to effectively address the ever-growing challenges, opportunities, and technological gaps present in multiple domains including energy and national security. To illustrate a sample of our research vectors, we have developed practical innovative solutions for the optimal design and operation of thermal/electrical grids, for estimating and forecasting renewable generation in low-visibility systems, for introducing the operationalization of AI techniques (including reinforcement learning) in modern systems, for strengthening the resiliency and risk mitigation properties of systems under threat and adversity, for the resilient integration and operation of hybrid energy systems that incorporate traditional, renewable, and flexible energy resources, and for pioneering unique practical monitoring and interdiction solutions to support nuclear non-proliferation objectives. We are also working on active cybersecurity and adaptive-recovery topics including resistant and resilient information and inference networks. Furthermore, we are deep into the digital twins domain, developing not only diverse computational elements and advanced functionalities for diagnostics, prognostics, decision making, predictive optimized maintenance, and uncertainty quantification but also multi-fidelity physics models and effective computational machinery typically involving function approximation, compression, and inverse mappings to support bidirectional interactions between physical assets and their virtual counterparts. Being very much a cross-cutting group, we enjoy the opportunity to work with a broad set of diverse collaborators and customers that includes academia, national laboratories, the Department of Energy, the Department of Homeland Security, the Department of Defense, and commercial entities. Responsibilities Include:

  • You are expected to be an asset to our interdisciplinary R&D team and work both alone and as a team member.
  • Work independently, but also take direction from other team members and peers.
  • Produce scientific manuscripts for peer-reviewed publication and presentations of research results at national and international conferences and meetings.
Qualifications:Minimum Requirements:
  • PhD in electrical (and computer) engineering, aerospace engineering, computational engineering/science, or comparable disciplines.
  • PhD requirements must be completed by commencement of appointment and within the previous 5 years.
  • Demonstrated oral and published written communication skills in English.
Desired Requirements:
  • Experience with mathematical and computational skills.
Job Information:
  • The target salary for this position is $96,900. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.
  • You are required to show a demonstrated commitment to valuing diversity and contributing to an inclusive working environment.
  • TDP: This is a testing designated position; you will be required to submit to a pre-employment drug screen and periodic drug testing throughout the term of your employment.
Benefits and Relocation
  • Medical, Dental, Vision, and Flexible Spending Accounts
  • 401(k) with a 4.2% employer contribution and up to 4.8% match
  • Paid time off (personal leave)
  • Employee Education Program (tuition assistance)
  • Comprehensive Relocation Package
  • Benefit eligibility subject multiple factors, including employment status and position classification.
INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 5,800 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and development technologies that underpin the nation's nuclear and renewable energy, national security, and environmental missions. Selective Service Requirements To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov. Equal Employment Opportunity Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Women and People of Color are strongly encouraged to apply. Reasonable Accommodation We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Other Information When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration. INL does not accept resumes from third-party vendors unsolicited.

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