Opportunities

Prospective Ph.D. Students

The Autonomous Systems and Control Laboratory is looking for outstanding Ph.D. students interested in control systems theory and applications. Ph.D. students will address specific problems within the areas of control systems theory and applications. Ph.D. student candidates are expected to have a solid research experience in Engineering and have a B.Sc. or equivalent degree in Engineering, Mathematics, or Physics. Students with a master's degree in related areas are preferred. Applicants should have their GRE and TOEFL (for international students) scores satisfying the departmental minimum requirements for admission.

Compensation includes full tuition coverage and a competitive stipend. Interested candidates are encouraged to submit a curriculum vitae, including a full publication list, GRE and/or TOEFL scores, a list of three references, and a cover letter including a description of prior research experience, by email to Dr. Wang at bwang1@ccny.cuny.edu. Applications will be accepted on a rolling basis until the available positions are filled.

Ph.D. Openings are Available in Safety-Critical Control Systems and AI & Mobility Research

We are looking for highly motivated students with strong backgrounds in control, robotics, dynamical systems, optimization, machine learning, or related areas. Students admitted to the position will be co-advised by Dr. Bo Wang and Dr. Yiqiao Li. Applicants must be U.S. citizens or permanent residents (green card holders). Students with interests in one or more of the following topics are especially encouraged to apply:

  • Nonlinear systems and control

  • Autonomous systems and robotics

  • AI for dynamical systems and mobility

  • Multi-agent and networked control systems

  • Intelligent transportation and mobility systems

Our research focuses on the analysis, design, and implementation of safe and intelligent control methods for autonomous and cyber-physical systems, with applications including mobile robots, connected and autonomous vehicles, multi-agent systems, and emerging mobility platforms.

Funded positions may include stipend, tuition support, and health insurance, subject to university and grant availability.

Qualifications: Applicants should have a strong background in control systems, robotics, applied mathematics, mechanical engineering, electrical engineering, or related disciplines. Prior experience in one or more of the following is desirable: nonlinear control, optimization, robotics, machine learning, MATLAB/Simulink, Python, ROS, or experimental research. Strong mathematical maturity, programming skills, and written/oral communication skills are highly valued. Applicants must be U.S. citizens or permanent residents (green card holders).

How to apply: Interested students should email Dr. Bo Wang at bwang1@ccny.cuny.edu with the following materials:

  • CV

  • Unofficial transcripts

  • Representative publications or writing samples, if any

  • Contact information for at least three references

Please also include a brief statement describing your research interests, prior preparation, and why you are interested in working on safety-critical control systems and AI-driven mobility research. After the initial email screening, qualified applicants will be encouraged to submit a formal application to the department/university.

About the program and location: The GSOE at CCNY offers a strong research environment in systems, control, robotics, and interdisciplinary engineering. Located in New York City, CCNY provides outstanding opportunities for academic collaboration, industry engagement, and access to a vibrant research community.

Undergraduate Students

The Autonomous Systems and Control Laboratory has multiple openings for undergraduate students with unusually strong background and abilities, who are willing to conduct research in robotics and autonomous vehicle systems. Interested candidates are encouraged to download the application form and submit it by email to Dr. Wang at bwang1@ccny.cuny.edu.

Notices

  • I am only able to write Letters of Recommendations for students with whom I have worked for at least one full semester in a meaningful academic and research capacity.

  • I sincerely regret that I usually cannot reply in a greater detail because I receive an overwhelming number of emails on a regular basis. Please do not email me repeatedly.