PhD in Control and Dynamical Systems

California Institute of Technology (Caltech) in Pasadena is internationally renowned for its focus on science and engineering and for a research environment that emphasizes discovery and innovation. Founded in 1891, Caltech combines small class sizes with world-class faculty and a culture that encourages independent inquiry. The institute’s achievements in fundamental research and technology transfer make it a top choice for students seeking an intensive STEM education and close mentorship from leading scholars.

Caltech offers a compact, high-impact academic setting where undergraduates and graduate students participate directly in cutting-edge projects across physics, biology, engineering and computation. Research opportunities are abundant and accessible, with students contributing to labs, observatories and centers that address global challenges. The collaborative, interdisciplinary approach cultivates both deep technical expertise and the ability to work across fields.

As a relatively small campus community, Caltech provides strong academic support, mentorship and networking in the greater Los Angeles research ecosystem. For international students drawn to rigorous STEM training, Caltech delivers concentrated resources, hands-on research experiences and pathways to meaningful scientific contribution in industry, academia and public service.

The PhD in Control and Dynamical Systems at California Institute of Technology is a 4-year program for students with an undergraduate degree in engineering, mathematics, or science. It leads to a PhD degree and has several advantages, including a broad knowledge of mathematical and experimental techniques.

The curriculum emphasizes the interdisciplinary nature of modern theory of dynamical systems and control, and students develop skills in mathematical and experimental techniques. They also select a focus area and take courses in the CDS option.

Graduates can pursue careers as Control Systems Engineers, Dynamical Systems Researchers, Mathematical Modelers, Systems Analysts, or Robotics Engineers. They can work in industries such as aerospace, automotive, or energy, and can be employed by companies like NASA, Boeing, or General Motors.