University of Michigan

What you'll study

The PhD emphasises original research supported by advanced coursework in topics that typically include manufacturing processes and materials processing, precision metrology, automation and robotics, computer-aided design and manufacturing (CAD/CAM), additive manufacturing, manufacturing systems engineering, sensors and controls, and data-driven manufacturing (including machine learning and digital twins). Students build deep specialist knowledge in their chosen research area while also acquiring a strong foundation in mathematics, modelling and experimental methods.

• Core subjects: advanced manufacturing processes, manufacturing systems and optimisation, materials processing and degradation, precision measurement and metrology.
• Methods and tools: robotics and automation, CAD/CAM and CAM programming, process modelling and simulation, experiment design and statistical analysis, sensor integration and real-time control.
• Emerging areas: additive and hybrid manufacturing, cyber-physical systems for manufacturing, smart factories and Industry 4.0, sustainability and life-cycle thinking in production.

The programme combines formal coursework with a qualifying examination, the development and defence of a research proposal, and the completion of a doctoral dissertation. Research is typically undertaken within a laboratory group supervised by a faculty advisor and often involves interdisciplinary collaboration with departments such as Mechanical Engineering, Industrial & Operations Engineering, Materials Science & Engineering, and Computer Science.

Entry requirements

Applicants are normally expected to hold a relevant master’s degree in manufacturing engineering, mechanical engineering, industrial engineering, materials science or a closely related discipline; exceptional applicants with a strong bachelor’s degree and research experience may also be considered. Typical requirements and application components include:

• A strong academic record in engineering, mathematics and science courses.
• Demonstrable research experience (for example, a thesis, published papers, or substantial project work) and a clear statement of research interests that aligns with faculty expertise.
• Letters of recommendation from academic or professional referees who can assess research potential.
• Transcripts and a personal statement; applicants whose first language is not English must demonstrate proficiency through accepted English language tests unless exempt.

Standardised test requirements (such as the GRE) and specific departmental prerequisites vary; prospective applicants should consult the department’s graduate admissions guidance for current details and recommended preparatory coursework.

Career prospects

Graduates of the PhD programme enter a range of careers where deep technical and research skills are required. Common pathways include:

• Academic careers as university faculty and postdoctoral researchers focusing on manufacturing science and engineering.
• Industrial R&D roles in advanced manufacturing firms, automotive and aerospace companies, industrial automation and robotics suppliers, and materials manufacturers.
• Technical leadership and engineering management in product development, process engineering, quality and production optimisation.
• Research and technical roles in national laboratories, government agencies and non-profit research institutes focused on manufacturing innovation and policy.
• Consultancy and entrepreneurship, including roles in start-ups commercialising manufacturing technologies or digital manufacturing platforms.

Graduates are valued for their ability to lead complex, interdisciplinary projects, design novel manufacturing solutions, and translate research into industrial practice.

Why study at University of Michigan

The University of Michigan offers an environment with extensive research infrastructure, experienced faculty across multiple departments, and close links to a large regional manufacturing ecosystem. Doctoral students benefit from access to cutting-edge labs and pilot-scale facilities, opportunities for collaborative projects with industry partners, and interdisciplinary centres that bring together expertise in robotics, materials, controls and data analytics.

Additionally, the university’s culture supports entrepreneurship, technology transfer and collaboration across engineering, business and public policy — valuable for students who want to move their research into practice. Faculty members supervising manufacturing research are active in leading-edge topics and maintain networks with industrial partners that enhance doctoral training and post-graduation opportunities.