Research Associate III

 

 

  • 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.