Utah State University offers a Ph.D. position in control systems, focusing on multi-agent systems, optimization, and adaptive control.
The Department of Electrical and Computer Engineering at Utah State University (USU) is offering an exciting Ph.D. opportunity in the field of control systems. This position is tailored for highly motivated individuals interested in performing cutting-edge research in several advanced areas of control systems and optimization. If you have a strong background in related fields and are eager to contribute to innovative research, this could be the perfect opportunity for you.
Overview of the Ph.D. Position
Utah State University is a prestigious Carnegie R1 institution, known for its high research activity and academic excellence. The university’s Department of Electrical and Computer Engineering is seeking a Ph.D. student to engage in high-quality research in the following areas:
Distributed Control of Multi-Agent Systems: This area focuses on controlling networked mobile robots and other multi-agent systems. Research may involve developing algorithms and strategies for effective coordination and communication among multiple agents.
Geometric Approach and Optimization-Based Control Synthesis: This research involves applying geometric methods and optimization techniques to design and analyze control systems. The goal is to develop more efficient and robust control strategies.
Robust Adaptive/Data-Driven Control of Uncertain Dynamical Systems: This field aims to create control methods that can adapt to and handle uncertainties in dynamical systems, using adaptive and data-driven approaches.
Trajectory Optimization for Resilient Trajectory Planning: This research focuses on optimizing trajectories for systems to enhance their resilience and performance, particularly in challenging environments.
Ideal Candidate Profile
The Department of Electrical and Computer Engineering is looking for candidates with the following qualifications:
Educational Background: A Master of Science (M.S.) degree in a closely related field such as electrical engineering, aerospace engineering, mechanical engineering, or mathematics by the date of admission.
Technical Expertise: A solid background and strong interest in systems, control, and optimization. Candidates should possess a strong understanding of control theory, optimization techniques, and related mathematical concepts.
Skills and Abilities: Candidates should demonstrate creative and critical thinking abilities. Good technical communication skills are essential, as they will be crucial for collaborating with peers and presenting research findings.
Coding Skills: Proficiency in programming and coding is important, as it will be required for implementing and testing control algorithms and simulations.
Application Process
Interested students should follow these steps to apply for the Ph.D. position:
Prepare Application Materials:
- Curriculum Vitae (CV): Include a detailed CV with a list of undergraduate and graduate courses related to systems, control, optimization, and mathematics, along with grades for these courses.
- Research Experience Statement: Write a concise paragraph describing your theoretical and experimental experience related to systems, control, and optimization.
- References: Provide the contact information of your current advisor and at least one additional reference.
Submit Application: Send the prepared application materials via email to Dr. Burak Sarsılmaz at burak.sarsilmaz@usu.edu. Make sure to include all required documents and information to ensure a complete application.
Application Timeline: Applications will be reviewed on a rolling basis until the position is filled. Therefore, early submission is encouraged to increase your chances of being considered.
Start Date: The expected start date for the Ph.D. position is January 2025.
About Utah State University
Utah State University is a renowned research institution located in Logan, Utah. As a Carnegie R1 University, USU is committed to high levels of research activity and offers state-of-the-art facilities and resources for its students and researchers. The Department of Electrical and Computer Engineering at USU is known for its excellence in research and education, making it an ideal place for pursuing advanced studies in control systems.
Dr. Burak Sarsılmaz
Dr. Burak Sarsılmaz, the faculty member leading this Ph.D. opportunity, is an assistant professor in the Department of Electrical and Computer Engineering at Utah State University. Dr. Sarsılmaz has a strong background in control systems and optimization, having previously worked as a postdoctoral scholar in the Autonomous Controls Laboratory at the University of Washington. He earned his M.A. degree in Mathematics and Ph.D. in Mechanical Engineering from the University of South Florida. His research interests include distributed control of multi-agent systems, geometric and optimization-based control, adaptive control, and trajectory planning. Dr. Sarsılmaz’s expertise and experience make him a valuable mentor for students pursuing research in these cutting-edge areas.
Why Apply to Utah State University?
Choosing to pursue a Ph.D. at Utah State University offers several advantages:
Research Excellence: USU is recognized for its high research activity and offers excellent facilities and resources for conducting advanced research in control systems and related fields.
Supportive Environment: The university provides a collaborative and supportive environment for its students, fostering academic and professional growth.
Career Opportunities: Graduates from USU’s Ph.D. program are well-prepared for careers in academia, industry, and research, with opportunities to work on impactful projects and contribute to advancements in control systems.
Beautiful Location: Located in Logan, Utah, USU offers a picturesque setting with access to outdoor recreational activities, providing a balanced lifestyle for students.
Conclusion
The Ph.D. position in control systems at Utah State University presents a fantastic opportunity for qualified candidates to engage in groundbreaking research and contribute to advancements in the field. With a focus on distributed control, optimization-based synthesis, adaptive control, and trajectory planning, this position offers diverse research avenues and the chance to work under the guidance of an experienced faculty member.
If you meet the qualifications and are passionate about control systems and optimization, consider applying for this exciting opportunity. For more information or to submit your application, contact Dr. Burak Sarsılmaz at burak.sarsilmaz@usu.edu. Embrace this chance to advance your career and make significant contributions to the field of control systems at Utah State University.
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