Postdoctoral Research Associate, Systems and Industrial Engineering

University of Arizona

  • Tucson, AZ
  • 30+ days ago
    Want to know if you’re a fit?
    Upload your resume and let our AI show you.

    Skills

    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Data Analysisunmatched
    • Data Collectionunmatched
    • Documentationunmatched
    • IEEE (Institute of Electrical and Electronic Engineers)unmatched
    • Industrial Engineeringunmatched
    • Machine Toolunmatched
    • Mentoringunmatched
    • Model Reviewunmatched
    • Ontologyunmatched
    • Product Demonstrationunmatched
    • Product Reviewsunmatched
    • Product Supportunmatched
    • Prototypingunmatched
    • Python Programming/Scripting Languageunmatched
    • Research Skillsunmatched
    • Simulationunmatched
    • Systems Engineeringunmatched
    • Transformation Toolsunmatched
    • Writing Skillsunmatched

    Description

    • Author and co-author peer-reviewed journal papers targeting venues such as Systems Engineering (Wiley/INCOSE), SIMULATION (SCS/SAGE), Applied Ontology (IOS Press), and relevant IEEE/ACM journals.
    • Prepare and present conference papers at CSER, INCOSE IS, CESUN, and similar venues.
    • Contribute to technical reports and sponsor deliverables as needed.
    • Support the design and implementation of a digital engineering sandbox environment for capability prototyping, training, and experimentation.
    • Integrate emerging SE tooling (e.g., AI-assisted workflows, ontology-backed reasoning, requirements co-pilots) into the sandbox.
    • Ensure the sandbox supports controlled experimentation and repeatable demonstrations of SE capabilities.
    • Design, implement, and evaluate next-generation SE capabilities such as AI-augmented requirements engineering, automated conflict detection, model-based review support, and change impact analysis.
    • Advance selected capabilities from early maturity toward cross-context application using the project's assessment framework.
    • Prototype and test novel capability concepts informed by the transformation roadmap and sponsor priorities.
    • Conduct systematic literature reviews on digital engineering transformation, AI-augmented systems engineering, readiness assessment frameworks, and formal methods for SE.
    • Monitor and synthesize emerging SE capabilities.
    • Maintain a living literature database supporting project deliverables and journal submissions.
    • Design and execute controlled experiments, case studies, interviews, or surveys to generate rigorous evidence on SE capability effectiveness.
    • Collect and analyze data from sponsors and stakeholders on adoption barriers, governance gaps, and capability value.
    • Engage with professional organizations (e.g., INCOSE) to solicit expert feedback on the transformation roadmap framework and assessment methodology.
    • Mentor and supervise undergraduate research assistants working on project tasks.
    • Define scoped research tasks appropriate for undergraduate contribution (literature coding, data collection, prototype testing, documentation).
    • Review student work products and support their professional development (conference presentations, writing skills, research methods).

    Knowledge, Skills, and Abilities

    • Knowledge of systems engineering principles, including model-based systems engineering (MBSE).
    • Knowledge of digital engineering concepts, tools, and transformation initiatives.
    • Skilled in utilizing Python.

    Numbers & Facts

    LocationTucson, AZ

    Similar Jobs