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RF/HPM Modeling and Simulation Associate

at Noblis, inc.

Posted: 9/18/2019
Job Reference #: 6792
Keywords:

Job Description

  • Posted Date4 months ago(6/13/2019 7:20 PM)
    Requisition #
    6792
    Security Clearance
    Top Secret
    FT/PT/On-Call
    Full Time
    Job Category
    Bioinformatics
    Location
    US-TX-San Antonio
  • Responsibilities

    Noblis conducts radio frequency (RF) and high-power microwave (HPM) modeling and simulation applications support for several US Government customers, including the Federal Aviation Administration and the Department of Homeland Security (DHS). At Noblis, we focus on advanced research techniques and practices, and we strive to provide our customers with innovative solutions to their most vexing problems for the national security domain. This role will provide our DoD customer with the world's best radiation bioeffects research, model-driven science-based exposure standards, and applied knowledge allowing maximum safe exploitation of Directed Energy (DE) for national defense.

    The RF/HPM Modeling and Simulation Associate will conduct mathematical, statistical, and theoretical analyses necessary for the development of modeling and simulation products. These models will lead to capabilities that include predictive and decision-making software that allow futuristic views of the bioeffects from exposure to RF/HPM radiation. This research will lead to a better understanding of the bioeffects of DE applications, as well as methods to counter the bioeffects produced by these technologies.

    Duties will include overall responsibility for conducting the following research to evaluate the bioeffects of DE exposure:

    • Develop multi-physics and multi-resolution models of the biological effects of high average power (HAP) and high peak power (HPP) RF energy. These approaches should include, but are not limited to, molecular dynamics models, thermo-elastic expansion effect models, models of RF induced mechanical stress, and thermoregulatory response models. The spatial scale may range from the molecular and cellular levels, up to the tissue and whole organism levels
    • Develop algorithms and models that predict the biological effects of exposure to RF/HPM energy. The development and execution of modeling and simulation of electrical current, DE weapons, and radar and communication effects aids in the understanding of effects on and within biological systems
    • Create software that implements these models for use in guiding in-house research and for supporting safety reviews and establishing exposure guidelines for DE systems. Utilize models to estimate bioeffect thresholds for RF/HPM energy, and to study the trade-space of system effectiveness versus biological response or effect
    • Develop models to predict the biological response of tissue to DE exposure, create software that implements these models, and utilize these models and software to estimate bioeffects

    Research Description

    The successful candidate will perform the following tasks related to the development and use of M&S approaches to predict biological responses to DE exposure:

    • Develop algorithms and models that predict the dosimetry within tissues, organs, or whole organisms resulting from exposure to RF, microwave, millimeter wave and terahertz energy. These algorithms and models may include analytical, heuristic, statistical or numerical approaches for predicting the amount and location of electromagnetic absorption within biological media
    • Develop models to predict tissue thermal response resulting from exposure to RF, microwave, millimeter wave, and terahertz energy
    • Develop models to estimate the thermally induced bioeffects thresholds from exposure to RF, microwave, millimeter wave, and terahertz energy
    • Develop and implement within software both numerical and analytical solutions to the Bio-Heat Equation. Where appropriate, couple these solutions to models of adverse thermal effect (e.g. Rate-process damage models)
    • Utilize M&S software to investigate the appropriateness of existing RF exposure standards, and to recommend suitable threshold levels for military engagements.
    • Create real-time distillations of numerical modeling approaches for integration within DoD/AF/AFRL engagement- and mission-level simulation packages
    • Stay apprised of branch and peer-reviewed research on the bioeffects of High Peak Power (HPP) electromagnetic exposures. For HPP exposures that lead to biological effects, the contractor shall develop predictive models of these bioeffects
    • Develop models to predict the energy levels vs. range for DE systems, and to compare these energy levels against RF exposure guidelines and bioeffect thresholds
    • Develop algorithms and models that predict the biological effects of novel DE exposure scenarios as such DE systems and capabilities are created
    • Develop research software that implements dosimetry, thermal response, propagation characteristics and bioeffects models to support branch projects and goals. This software shall be developed using C/C++ programming language, Python, or a similar software language
    • Develop Graphical User Interface (GUI) based transition level software for the purpose of DE system analysis and mission decision support. The software shall be cross-platform compatible for both Windows and Linux computers
    • Support for the procurement, setup and maintenance of dedicated High-Performance Computing (HPC) hardware
    • Provide validation studies for the developed modeling tools. These studies might include comparisons against RHDR laboratory research data, comparisons against peer-reviewed publications, or comparisons against other modeling and simulation approaches

    Qualifications

    Required Qualifications:

    • Physics, Electrical Engineering, or Mathematics post-doctoral scientist with prior experience working with modeling and simulation software and techniques
    • Ph.D. with 12-24 months of experience in the areas listed above
    • Experience using Graphics Processing Unit (GPU) with either CUDA or OpenCL GPU language
    • Ability to receive and hold Top Secret/SCI Security Clearance
    • Excellent written and oral communication skills
    • Experience conducting technical assessments, feasibility studies, and can support to field exercises
    • Top Secret Clearance

    Desired Qualifications:

    • Background that includes electronics, neuroscience, behavioral science, physiology, toxicology, or pharmacology
    • Previous DoD or IC work experience

    The successful candidate for this position will live and work in the greater San Antonio TX metropolitan area, but they will also have occasional travel to the greater Washington DC area for periodic status reports to the overall Program Manager.

    Overview

    Noblis and our wholly owned subsidiary, Noblis ESI, are solving difficult problems that help our government and our country. We bring the best of scientific thought, management, and engineering expertise with a reputation for independence and objectivity. We support a wide range of government and industry clients in the areas of national security, intelligence, transportation, healthcare, environmental sustainability, and enterprise engineering. Learn more at Noblis -About Us

    Why work at a Noblis company?

    Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public.

    Noblis has won numerous workplace awards. Noblis maintains a drug-free workplace and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race.

    Client Engagement

    · Support and lead evolving business development efforts by applying technical and functional expertise to develop business solutions.
    · Lead proposal sections for small or limited competition proposals and actively participate in teaming strategy discussions
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