Deployment: Responsible for selection, choice, and design of broadband and multi/hyper-spectral imaging systems to be deployed at a high vantage point overlooking an urban environment.
Establish connection protocols with the deployed imaging systems and create a pipeline for survey-mode observations, including image acquisition, transfer, and data-basing.
Computing Architecture: Responsible for assembly and management of a mini-HPC environment including computing and large data storage components that are sufficiently flexible to adjust to rapidly changing camera protocols and observational needs while performing real-time monitoring and alerts of the deployed camera systems.
Design and implement databases for imaging and image products to minimize packet-loss and exploit the real-time feeds.
Network Management: Responsible for creating a shared computing environment within the above mini-HPC to enable users (Professors, researchers, and students) to interact with data products and share analyses.
Create a tiered access system for the UO data that restricts data access to “need-to-access” to ensure UO data security protocols and providence are maintained.
Perform miscellaneous job-related duties as assigned.
QUALIFICATIONS:
Master’s degree and four years related experience, or equivalent combination of education and experience. Degree in computer systems related discipline preferred.
Expertise in advanced data analysis techniques from computer systems and network engineering as well as electronics and telecommunications engineering to inform urban science policy planning and decision making.
Ability to work independently, with minimal supervision for all types of projects.
Experience in generating content and creative products independently and delivering content when needed for educational purposes in the classroom, for research purposes at national conferences, and to a larger constituency base including public and private sector partners.
Demonstrated ability to contribute to grant writing on complex proposals. Must have experience as collaborator and/or lead scientist on grant proposals. Actively contribute to research proposals as a significant contributor.
Ability to manage project teams, including researchers as well as students.
Strong oral and written communication skills and proven ability to develop, organize, and manage high-profile projects and programs are required.
Act as co-author on publications.
Computing languages: expert in scripted Python (with an emphasis on real time data pipelines); proficient in C++; experience with R, Javascript, and Matlab
Network architectures: Experience with bridged and routed communications between networked devices.
Significant experience managing high velocity, high volume data streams with low throughput connections.
Experience with publish-subscribe messaging patterns for relaying commands and requests to remote services.
Experience setting up and managing multi-user mini-HPC environments.
Camera systems: Expertise in SDK development of custom camera communication software; familiarity with state-of-the-art broadband and multi/hyper-spectral camera systems; experience deploying weatherized field instrumentation including scientific imaging and video equipment; experience generating imaging data and associated product that are of use to policy makers and the public sector.
Familiarity and experience with IoT architectures and communications preferred.
Understanding and experience with implementation of machine learning concepts for network monitoring preferred.
Experience with OpenCV (C++ based) preferred.
Experience with distributed computing across low-performance PCs (e.g., Raspberry Pi, Arduino, etc.) preferred.
Knowledge of radio communication protocols for low-latency, antenna-based data transfer preferred.
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