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We have 174 Computer Science (control engineering) PhD Projects, Programmes & Scholarships

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Computer Science (control engineering) PhD Projects, Programmes & Scholarships

We have 174 Computer Science (control engineering) PhD Projects, Programmes & Scholarships

18 PhD programmes

Politecnico di Torino is an international University where traditions and future, past and modernity are interlinked. Read more

Digitalisation of Energy Systems

We are recruiting highly self-motivated PhD candidates in the fields of digitalisation of energy systems, energy systems modelling and optimisation, and renewable energy integration. Read more

Optimization and control of nonlinear and partial differential equations.

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. Read more

Development of a collaborative robot – human-robot collaboration

Robots work effectively in factories. For example, in car factories, huge robotic arms pick up car parts and join them to the skeleton of the car, working at less than millimetre and millisecond precision. Read more

Next Generation of Low Power Wireless Communication for Internet of Things

Internet of Things greatly extends coverage area that human being is able to perceive, access, and even control. By connecting various “Things” to the Internet, the physical world is possible to be measured and managed as needed. Read more

Intrusion Detection for industrial Internet of Things

With the development of the Industrial Internet-of-Things (IIoT), an increasing number of industrial control systems (ICSs) are connected to the Internet and in danger of being attacked. Read more

Industrial Cyber-Physical Systems Safety and Security

Industrial cyber-physical systems (iCPS) may suffer security risk from cyber space and safety risk from physical space. iCPS develop strategies based on safety and security (S&S) requirements to reduce risks from cyber and physical spaces. Read more

Learning for Control: Enabling Efficient Networked Autonomous Systems

Supervisory Team: Konstantinos Gatsis . Project description. There is an ongoing transformation in engineering autonomous systems that aim to achieve complex objectives with limited human intervention in applications such as robotics, self-driving cars, and industrial systems. Read more

Distributed active reinforcement learning for multi-agent planning and control

With the rapid development of network-connected systems, coordination and cooperation among the subsystems/agents have become increasingly important and powerful in many control and robotics applications. Read more

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