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Capabilities Jobs in Arizona (NOW HIRING)

Key goals include synchronizing all DOTMLPF-P domains to ensure a holistic and effective capability transition. The position is focused on proactively observing identifying and closing warfighting ...

Lead Supplier Development for Advanced Materials and Machining, driving capability, scalability, and supplier readiness for critical categories. * Manage and develop a team of ~6 supplier development ...

Define architectural vision and architecture for large and complex capabilities supporting AI and Agentic Transformation. * Work across business and technology stakeholders to shape architecture for ...

New

Sr. Manager, Procurement Excellence

Mesa, AZ · On-site

$94K - $127K/yr

Capability improvement strategy : Developing and documenting plans to improve procurement capabilities, processes, systems, and policies to enable procurement delivery and governance. Integration ...

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Capabilities information

What are the most commonly searched types of Capabilities jobs in Arizona? The most popular types of Capabilities jobs in Arizona are:
Infographic showing various Capabilities job openings in Arizona as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Postdoctoral Research Associate, Systems and Industrial Engineering

Postdoctoral Research Associate, Systems and Industrial Engineering

University of Arizona

Tucson, AZ • On-site

Other

Re-posted 25 days ago


University Of Arizona rating

7.2

Company rating: 7.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

343rd of 553 rated colleges and universities


Job 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.

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