Jobs · Research · Arizona

POSTDOCTORAL RESEARCH SCHOLAR

Arizona State University · Mesa, AZ · 2 wk ago
On-siteResearchFull-time

Arizona State University’s Advanced Capabilities for National Security Institute (ACNSI) and the Center for Human, Artificial Intelligence, and Robot Teaming (CHART) are seeking a full-time Postdoctoral Research Scholar. Under the supervision of Dr. Jamie Gorman, the postdoc will receive training, research experience, and opportunities to pursue externally funded research to advance a career in academia, government, or industry. This role contributes to Dr. Gorman’s lab and CHART’s focus on human-machine teaming, dynamical systems-based team measurement, and teaming in complex real-world scenarios (e.g., medical, multidomain, and space operations).

Responsibilities

  • Design, carry out, analyze, and report on original research projects related to measurement of team dynamics in human-AI-robot teaming.
  • Author and present research products in sponsor meetings, peer-reviewed journals, conferences, books, and workshops.
  • Participate in or lead proposal preparation for external research funding (e.g., DARPA, NSF, ARL, AFRL).
  • Optional opportunities for teaching courses in Human Systems Engineering (HSE) may be provided.

Requirements

  • PhD in psychology, cognitive science, human factors, industrial engineering, nonlinear dynamics, computer science, or a related field.

Qualifications

  • PhD in human factors, industrial engineering, or a discipline relating to human-machine teaming/systems engineering.
  • Experience with laboratory research; field research experience highly valued.
  • Statistical and computational programming experience in R, Matlab, SAS, SPSS, Jscript, and/or Python.
  • Research experience and a record of publications and research presentations.
  • Research experience related to team cognition, dynamical systems, and/or human-AI-robot teaming is highly valued.
  • Ability to communicate clearly and concisely in writing, presentations, and mentoring.
  • Experience in programming machine learning is also highly valued.

The employer will not sponsor applicants for work visas.

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