USA – PhD and Postdoc Positions in Control & Optimization at University of Tulsa

University: University of Tulsa

Country: United States

Deadline: Not specified

Fields: Control Theory, Optimization, Applied Mathematics, Dynamical Systems, Cyber-Physical Systems

Are you passionate about advancing the frontiers of control theory, optimization, and autonomy, and seeking a fully funded PhD or postdoctoral opportunity to launch your research career in a vibrant academic environment?

The University of Tulsa, located in the heart of the United States, is currently offering multiple fully funded PhD and postdoctoral positions in the broad and impactful areas of dynamical systems, control theory, optimization, autonomy, and cyber-physical systems. These positions are available in the research lab of Dr. Mohammad Khajenejad, a leading scholar in these fields. If you have a strong background in control theory, optimization, applied mathematics, or related disciplines, this could be the transformative opportunity you have been seeking.

About The University Or Research Institute

The University of Tulsa is a distinguished private research university situated in Tulsa, Oklahoma, USA. Known for its rigorous academic programs and commitment to research excellence, the University of Tulsa offers a collaborative and supportive environment for scholars. The university boasts a diverse student body, world-class faculty, and state-of-the-art research facilities, making it a hub for innovation and discovery. With a strong emphasis on interdisciplinary research, the University of Tulsa fosters the development of creative solutions to complex global challenges. Its location in Tulsa provides students and researchers with a high quality of life, affordable living, and access to a thriving community that values education and technological advancement.

Research Topic and Significance

The research openings focus on several cutting-edge areas within control theory, optimization, and autonomy. The significance of these fields cannot be overstated in today’s rapidly evolving technological landscape. Control theory and optimization underpin the safe and efficient operation of modern engineering systems, from autonomous vehicles and robotics to smart grids and industrial automation. The rise of cyber-physical systems—where physical processes are tightly integrated with computation and networking—has created new challenges and opportunities for robust, resilient, and secure control and coordination.

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Key research topics include robust and resilient control, adversarial learning and planning, distributed estimation and coordination, and safety assurance in hybrid systems. These areas are pivotal for the development of next-generation autonomous systems that must operate reliably in uncertain, adversarial, or dynamic environments. The research conducted in Dr. Khajenejad’s lab directly addresses these challenges, contributing to the advancement of safer, smarter, and more autonomous engineered systems that have broad societal and industrial impact.

Project Details

The Positions Are Available In The Lab Of Dr. Mohammad Khajenejad At The University Of Tulsa. Dr. Khajenejad Is Actively Recruiting Highly Motivated PhD Students And Postdoctoral Researchers To Join His Team. The Research Topics Are Broad And May Include, But Are Not Limited To

– Robust & resilient control

– Adversarial learning and planning

– Distributed estimation & coordination

– Safety assurance and hybrid systems

The lab offers a dynamic research environment where collaboration and innovation are highly encouraged. Researchers will have the opportunity to engage in interdisciplinary projects, contribute to high-impact publications, and develop skills that are highly sought after in both academia and industry.

Candidate Profile

Ideal Candidates For These Positions Will Possess

– A strong background in control theory, optimization, applied mathematics, or related areas

– A high level of motivation and a passion for research in dynamical systems, autonomy, or cyber-physical systems

– Strong analytical and problem-solving skills

– The ability to work independently as well as collaboratively within a research team

– Excellent written and verbal communication skills

Both PhD and postdoctoral applicants are encouraged to apply. The positions are fully funded, providing financial support and access to a rich academic environment.

Application Process

Interested Applicants Should Prepare The Following Materials

– Curriculum Vitae (CV)

– Academic transcript

– Brief statement of interest

All application materials should be sent directly to Dr. Mohammad Khajenejad at mok7673[at]utulsa[dot]edu.

There is no specified application deadline, so interested candidates are encouraged to apply as soon as possible.

Conclusion

If you are eager to contribute to pioneering research in control, optimization, and autonomy, and are seeking a supportive and innovative academic environment, the University of Tulsa offers an excellent platform to advance your career. Do not miss this opportunity to join a vibrant research group and make a meaningful impact on the future of autonomous and cyber-physical systems. For more information and to stay updated on similar opportunities, follow the latest openings in your field.

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