Human systems engineering describes a growing transdisciplinary field consisting of the disciplines of psychological sciences and engineering. This field explores how people interact with technological and social systems in contexts that include transportation, medicine, military, computing and other complex systems.<br><br>The program broadly pulls from the areas of human factors and cognitive science. Human factors provides training in the foundation for the application of psychological and physiological principles to the engineering and design of products, processes and systems. Cognitive science provides the foundation necessary for integrating human capabilities and limitations into complex sociotechnical systems (i.e., the practice of cognitive engineering), and the application of cognitive science relies heavily on human systems engineering techniques.<br><br>A large domain exists in which the combination of human factors and applied cognitive science with a systems approach is imperative for the design of complex sociotechnical systems. Examples include:<br><br>the design and evaluation of learning settings and technology (learning engineering)<br>development of intelligent agents that work well with humans<br>driving simulators for research on driver distraction<br>dynamical systems models of team interaction<br>gaming simulators for studying business decision-making<br>human-in-the-loop simulation studies of cybersecurity analysis<br>medical simulations for health care research<br>models of cognitive states and processes of sociocultural systems<br>nuclear control room simulations for improved human system integration<br>pilot training research using aircraft simulators<br>simulations of consumer behavior<br>tests of future airspace control concepts using air traffic control simulators<br>This PhD program in human systems engineering is designed to ensure graduates are well-grounded and skilled in the methods of human systems engineering. The curriculum provides transdisciplinary, research-driven training in the computing, engineering, technology, applied cognitive science and human systems integration.