Optimization and control of nonlinear and partial differential equations

About the position

A PhD position, fully funded by the National Science Foundation (NSF) is available in the Cybernetic Systems and Controls Lab (CSCL) in the Department of Mechanical and Aerospace Engineering at Arizona State University in Tempe, AZ.

Topic: Our laboratory specializes in the use of optimization-based methods to model, analyze and control networks of nonlinear and PDE systems. We are looking for students with interest and talent in mathematics and computation to contribute to making fundamental advances in these fields.

Funding includes tuition, a 12-month stipend of $2600/mo, travel, health case and expenses. A Fall 2024 start is anticipated, although applications will accepted until the position is filled.

Our lab has a broad mandate to perform advanced, computation-based research in dynamics, control theory, optimization, and machine learning. Significant accomplishments of our lab are the development of the SOSTOOLS and PIETOOLS software suites for optimization of polynomials and optimal control of PDEs. Applications include control of nuclear fusion, communication networks and immunology.

Exam Requirements

Research Interests

Computational Mathematics
Electrical Engineering
Control Systems
Optimization
Mechanical Engineering
Engineering Mathematics
Cybernetic Systems
control networks of nonlinear and PDE systems

Duties and Responsibilities

Candidates should have an undergraduate degree in Aerospace/Mechanical/Electrical Engineering, Mathematics, Computer Science or Physics.
Candidates should have first class honors or equivalent from a top 100 university as per AWRU, USNWR or other system (2.1 OK for Oxford/Cambridge)

Other Requirements, Additional Info

For non-UK students, an undergraduate GPA of 3.6 (US), 90 (China), 18(Iran), 8(India), 9.0 (Mexico) is desired. See the website http://control.asu.edu for a list of recent research accomplishments. If eligible, apply for the position by sending a cv, undergraduate and graduate transcripts (if relevant) directly to [email protected]. Additionally, students must apply separately to the university online at http://graduate.asu.edu/admissions. ASU, based in Tempe, AZ, is the largest research university in the United States with the 2nd highest graduate enrolment. The graduate Aerospace Engineering Program at ASU was ranked 25th in USNWR for 2024. Overall, the graduate Engineering Program was ranked 34th nationally.

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Professor

Dr. Matthew Peet

Associate Professor

Bio

Dr. Matthew M. Peet is a distinguished academic at Arizona State University, specializing in control systems engineering. With a robust background in electrical engineering, Dr. Peet has made significant contributions to the fields of system theory, robust control, and optimization. He earned his Ph.D. in Aeronautics and Astronautics from Stanford University, where his groundbreaking research laid the foundation for advanced methodologies in control systems. Dr. Peet’s work has been widely recognized for its practical applications and theoretical depth, bridging the gap between complex mathematical frameworks and real-world engineering challenges. As a faculty member at ASU, he leads cutting-edge research initiatives, fostering innovation and collaboration within the academic community. In addition to his research endeavors, Dr. Peet is dedicated to educating the next generation of engineers and researchers. He teaches a range of courses that encompass the core principles of control systems and their applications. His pedagogical approach is characterized by a commitment to hands-on learning and fostering critical thinking skills. Dr. Peet has published extensively in prestigious journals and conferences, contributing valuable insights to the field. His leadership extends beyond the classroom, as he actively participates in professional organizations and conferences, continuously seeking to advance the frontiers of control systems engineering. Dr. Peet’s exemplary career at ASU underscores his passion for both innovation and education, making him a prominent figure in his field. .

Location Arizona State University
Education Ph.D