Ian Abraham
Senior Lecturer in Computer Engineering · Faculty of Engineering · University of Sydney
Quick answer: Ian Abraham is Senior Lecturer in Computer Engineering at University of Sydney. Ian Abraham shows an active PhD hiring signal as of 2026-09-17.
⭐ We are currently recruiting! Those interested in joining our group are expected to have strong competency in programming, optimization, systems and control theory, kinematics and dynamics of robotic systems, and rigorous mathematical theory and proof writing. Candidates should have a strong curiosity and drive to develop algorithms and deploy them on physical robots. Submit an expression of intere
Research interests
Dr. Ian Abraham's research sits at the intersection of robotics, optimisation, optimal control, machine learning, and artificial intelligence. His interests are in developing computational methods that enable robotic systems to intelligently interact with, explore, and learn in extreme and remote environments and through collaboration with other robots. He has been recognised with numerous prestigious awards, including an NSF CAREER award as a professor in the US. Previously he was an Assistant Professor at Yale University in the Mechanical Engineering and Computer Science Departments after spending some time as a Postdoctoral Scholar at the Robotics Institute at Carnegie Mellon University.
robotics, optimisation, optimal control, machine learning, and artificial intelligence
Frequently asked questions
Is Ian Abraham hiring PhD students at University of Sydney?
Yes. As of 2026-09-17, Ian Abraham's faculty page shows a PhD hiring signal: We are currently recruiting! Those interested in joining our group are expected to have strong competency in programming, optimization, systems and control theory, kinematics and dynamics of robotic s.
What does Ian Abraham research?
Dr. Ian Abraham's research sits at the intersection of robotics, optimisation, optimal control, machine learning, and artificial intelligence. His interests are in developing computational methods that enable robotic systems to intelligently interact with, explore, and learn in extreme and remote en
Data last updated: 2026-09-17 · Source: phd-match.com faculty database.
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