University of South Alabama

What you'll study

The programme combines advanced coursework in systems engineering with an extended original research project leading to a doctoral dissertation. Typical early-stage coursework covers systems theory and architecture, mathematical modelling and optimisation, stochastic systems and control, and methods for systems engineering life-cycle development.

The Human Systems Engineering – Intelligent Systems emphasis focuses on the interaction between people and automated or autonomous technologies. Core topics you can expect to study include human-systems integration, human factors engineering and usability, machine learning and AI for decision support, sensor and signal processing for perception, modelling and simulation of socio-technical systems, and verification, validation and safety assurance for intelligent systems.

Programme structure commonly consists of a blend of taught credits and research credits. Students complete foundation and advanced electives, pass a qualifying/ comprehensive examination to enter candidacy, and then undertake a sustained research programme culminating in a written dissertation and oral defence. Research topics frequently include human–autonomy teaming, adaptive interfaces, cognitive workload modelling, trustworthy autonomy, optimisation of human-in-the-loop systems, and robotic or cyber-physical system integration.

Entry requirements

Applicants are normally expected to hold a relevant master’s degree in systems engineering, industrial engineering, electrical engineering, computer science, psychology (with quantitative background), or a closely related discipline. Candidates with an exceptional bachelor’s degree and substantial research or professional experience in a relevant area may also be considered.

Typical application materials include academic transcripts, a statement of research interests, a curriculum vitae, and at least two academic or professional references. International applicants must demonstrate English language proficiency in line with the university’s graduate admissions policy.

The admissions committee looks for evidence of strong quantitative skills, prior research experience or potential, and alignment between an applicant’s interests and the expertise of the department’s faculty. Some applicants may be asked to provide examples of prior technical or research work, and admission may be conditional on completion of prerequisite coursework.

Career prospects

Graduates from this PhD prepare for roles that require deep expertise in complex socio-technical systems and intelligent technologies. Career paths include university faculty and academic research positions, research scientist roles in national laboratories, and R&D positions in sectors such as aerospace and defence, automotive and autonomous vehicles, healthcare and medical devices, telecommunications, and advanced manufacturing.

Other opportunities include senior systems engineering and systems architect roles, human factors and usability research leads, machine learning and AI engineering positions focused on safety-critical systems, and consultancy or technical leadership roles where integration of human and automated components is essential.

Why study at University of South Alabama

The University of South Alabama’s College of Engineering provides a research-focused environment with faculty working across systems engineering, controls, robotics and human-systems topics, enabling interdisciplinary supervision and collaborative projects. Students benefit from access to campus laboratories and experimental facilities that support hardware-in-the-loop testing, human factors experimentation and simulation studies, as well as opportunities to collaborate with regional industry partners and government research programmes.

The PhD programme emphasises close mentorship, hands-on research experience and preparation for both academic and applied careers, with a curriculum designed to balance theoretical foundations, methodological rigour and practical systems integration skills. Prospective students seeking to advance knowledge at the intersection of people and intelligent systems will find the programme suited to developing both research independence and professional impact.