Engineer/Scientist Fellowship: Sensor Modeling
at ORAU Workforce Solutions

Date Posted: 3/23/2019

Opportunity Description

Engineer/Scientist: Sensor Modeling and Distributed Systems State Estimation Recent graduate with a PhD in control systems, electrical, mechanical engineering, computer science, material science, neuroscience, bio-engineering, mathematics, physics or other appropriate discipline. Description: ARL requires one engineering research scientist/engineer fellow to research“Continuous Monitoring of Soldier Variability for Continuously Adaptive Technologies” to enable real-world, physiological monitoring of Soldiers as individuals and small groups working with intelligent systems in complex military relevant environments to enable dynamic interactions depending upon current capabilities. Specifically, the opportunity will develop novel theories, develop experiments to validate, and hardware to implement solutions to the problem of: How do we model and measure individual sensors across a deformable, distributed frame (e.g., a human) that are part of a distributed heterogeneous sensor system to 1) remove individual sensor induced measurement noise a priori and online, and 2) generate a robust, resilient state estimate at the individual level? This person will be expected to collaborate with others to collect longitudinal human subjects research data; analyze that data and develop novel technologies and theories. This person will be expected to publish first author efforts in peer reviewed literature; contribute technically to peer reviewed literature in diverse areas within and outside of the team; and, develop experimental and transition efforts across the team. This opportunity will involve a mix of skill sets ranging including developing theories supporting distributed state estimation and validating those theories in hardware. This project is expected to do research fluidly in Linux, ROS, Matlab, C/C++. Required Skills and Knowledge: • Experience with generating mathematical sensor models involving complex systems, including but not limited to the ability to determine calibration methodologies for physiological (and other) sensor modalities • Strong familiarity with the mathematics of fusion algorithms for either autonomous applications or physiological monitoring; and, the ability/willingness to learn the other. • A thorough understanding of deterministic, non-linear controls. Liner-algebra and online observers. • Fluency in C++, python, Java, and other languages commonly used for data science • Familiarity and experience with prototyping in MATLAB and data collection using LabView. And, fluency in Linux and Windows development environments. • Good communication and presentation skills, and a proven track record of peer-reviewed publications. Desired Skills and Knowledge: • Familiarity with Robot Operating System (ROS), Apache Thrift, Lightweight Communications and Marshalling (LCM), or other commonly used transport protocols for distributed and embedded computing environments • Experience with generating mathematical sensor models involving complex systems • Experience with implementing and testing novel multi-sensor fusion and state estimation algorithms for robotics • An understanding of probabilistic (Bayesian) controls/information systems. Liner-algebra and online observers. • Familiarity with Operator Theory. • Familiarity with IRB procedures and current CITI training. • Proficiency with integrated development environments, revision management systems such as Git/svn, and other tools for building large applications • Understanding of, and experience programing and integrating embedded systems. • Hands on experience with various robotic platforms and/or wearable sensor systems. • Experience with implementing and testing multi-sensor fusion and state estimation algorithms for robotics. • Practical understanding of experimental statistics including statistical experiment design, data analysis, validation and verification. Environment and Team Description: The Army Research Laboratory’s Electronics for Sense and Control seeks to enable revolutionary advances in three interconnected research spaces: 1) navigation and localization, 2) small scale autonomous systems, and 3) human physiological state monitoring. While an individual will have a specific project, it is expected that s/he will contribute across the full research space. The group’s approach includes the development of novel, distributed state estimation methodologies, linear and nonlinear controls integration, computer science and hardware engineering to realize a generalized framework for information acquisition and fusion in uncertain environments. The ESC team is comprised of a diverse technical team with highly interconnected projects. We foster an environment where hard work is rewarded; integrity is respected; and, insight, wherever it may come from, is valued. We honestly believe that a diversity of opinions should not only be respected, but it is expected, and we think that it is the only way to enable revolutionary advances. Team members each bring a unique skill set that we expect them to apply across completely novel applications. Individuals are expected to be highly self-reliant, and simultaneously capable and willing to work across disciplines in dynamic team projects. The pace of projects is very fast; the expectations are exceptionally high; but, foremost, we value each team member, and advocate for a healthy balance in everyone’s life. We are looking to recruit new individual(s). They should be able to not only contribute from day 1, but be willing to learn from day 1. All eligible applicants including veterans, wounded warriors, and those with non-traditional educations are encouraged to apply. Check that all network cables are plugged in. Verify that airplane mode is turned off. Make sure your wireless switch is turned on. See if you can connect to mobile broadband. Restart your router.

Opportunity Snapshot

About Us

Grooming future leaders in science and technology requires enhancing the skills, knowledge and experience of workers early in their careers. To that end, ORAU (Oak Ridge Associated Universities) assists in connecting the best and most diverse students, recent graduates, faculty and professionals with world-class fellowships, internships and jobs, whether in national laboratories, research institutions, federal government offices or private sector R&D departments.

ORAU works with agencies such as the U.S. Army Research Laboratory (ARL) Research Associateship Program (RAP) allow Postdoctoral Fellows, Journeyman Fellows (undergraduate and graduates students and recent graduates), Senior Researchers, and Summer Faculty engage in research initiatives of their own choice, that are compatible with the interests of the government and will potentially contribute to the general effort of the ARL. We work with the Environmental Protection Agency (EPA) to place recent graduates in full-time and part-time jobs in the Office of Research and Development at EPA under the National Student Services Contract. ORAU also works with Center for Medicare and Medicaid Innovation.

Research opportunities include, but are not limited to the following disciplines: Aerospace Engineering, Anthropology, Archeology, Biology, Biochemistry, Biological Engineering, Biomechanical Engineering, Biomedical Engineering, Chemical Engineering, Chemistry, Computer Science, Computer Engineering, Data Science, Electrical Engineering, Environmental Health Risk Assessment, Environmental Science, Entomology, Epidemiology, Ergonomics, Geology, Health Education Mechanical Engineering, Materials Science, Mathematics, Nanotechnology, Photonics, Physics, Public Health Economics, Public Health Policy, Toxicology, and more.

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