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We have 29 Cybernetics PhD Projects, Programmes & Scholarships

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Cybernetics PhD Projects, Programmes & Scholarships

We have 29 Cybernetics PhD Projects, Programmes & Scholarships

A PhD in Cybernetics is an exciting and cutting-edge field of study that combines engineering principles with the study of complex systems, artificial intelligence, and control theory. If you have a passion for technology and a desire to push the boundaries of what is possible, pursuing a PhD in Cybernetics could be the perfect choice for you.

What's it like to study a PhD in Cybernetics?

Studying a PhD in Cybernetics is a thrilling and intellectually stimulating experience. You will have the opportunity to delve deep into the world of robotics, automation, and machine learning, and contribute to the development of innovative technologies that can revolutionize various industries.

During your PhD journey, you will work closely with experienced researchers and faculty members who are experts in the field. You will have access to state-of-the-art laboratories and cutting-edge equipment, allowing you to conduct groundbreaking research and experiments. You will also have the chance to collaborate with industry partners and participate in real-world projects, gaining valuable practical experience.

Entry requirements for a PhD in Cybernetics

To be eligible for a PhD in Cybernetics, you will typically need a strong academic background in engineering or a related field. Most universities require a minimum of a 2.1 Honours degree or a Master's degree in a relevant discipline. Additionally, you will need to submit a research proposal outlining your intended area of study and research objectives.

PhD in Cybernetics funding options

Funding for PhDs in Cybernetics may be available from various sources, including governments, universities and charities, business or industry. See our full guides to PhD funding for more information.

PhD in Cybernetics careers

A PhD in Cybernetics opens up a wide range of exciting career opportunities. Graduates can pursue careers in research and development, working on advanced robotics and automation projects. They can also find employment in industries such as manufacturing, aerospace, healthcare, and defense, where the application of cybernetics principles is crucial.

Furthermore, with the rapid advancement of artificial intelligence and machine learning, there is a growing demand for experts in Cybernetics. Graduates can explore careers in data science, autonomous systems, and algorithm development. They can also choose to become academics and contribute to the field through teaching and research at universities and research institutions.

In conclusion, studying a PhD in Cybernetics offers a unique opportunity to be at the forefront of technological advancements. It provides a platform to contribute to groundbreaking research, gain valuable skills, and open doors to exciting career prospects in various industries. If you have a passion for engineering and a desire to shape the future, a PhD in Cybernetics is the perfect path for you.

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Cutting edge machine learning models for UAV and non-terrestrial open radio access networks (Open RAN)

  Research Group: Communication Technologies
Recent advances in manufacturing Unmanned Aerial Vehicles (UAV) extended their durability and flight time. The researchers investigated the usage of UAVs in as Users, relays and small cell base stations. Read more

Modern Machine Learning techniques for sustainable Open RAN and 6G networks

  Research Group: Communication Technologies
Nowadays, researchers have started to conceptualize 6G with the vision of connecting everything, transmission over mmWave and THz, and integrating sensing, communication, computation, and control functionalities. Read more
Last chance to apply

Model predictive electric UAV guidance using wind measurements and forecasts for coverage path planning missions

Uncrewed aerial vehicles (UAVs) have significantly evolved in terms of efficiency and safety but some of their applications such as precision agriculture and package delivery have not progressed as fast as anticipated. Read more

PhD+ Studentship: Automated deployment of competitive autonomous vehicles for aircraft service delivery

Aston University is launching a pioneering, fully-funded doctoral scholarship scheme designed to equip researchers with the skills that are crucial for success in the digital age and to meet the demands of the new industrial revolution powered by technology. Read more

Full Quantum Computer for AI Applications (FES-PhD-2425-02)

Have you ever wanted to improve computing, and that while creating more intelligent systems? Computing has had a largely digital focus for a long period, but that does not seem to work that well anymore for all our current applications – so a hunt for better solutions is very pertinent. Read more

Digital Twins for Securing Critical National Infrastructures

This PhD project leverages Digital Twin technology for cybersecurity in Critical National Infrastructure, focusing on real-time cyberattack monitoring and Operational Technology security. Read more
Last chance to apply

Robotic metamaterial grippers with integrated control for in-orbit and in-space servicing and manufacture (C3.5-ELE-Pope)

In-orbit or in-space servicing and manufacturing is a key area or focus for the future commercialisation of space, specifically through its potential to increase sustainable and safe operation and reduce cost. Read more
Last chance to apply

Cybergenetic control of living cells: a control-based approach to design new therapies

The project. Precision oncology promises to develop effective therapies tailored to the genetic profile of specific cancers. To achieve this goal, we still need to overcome drug resistance, which often arises in therapies targeting a single oncogenic driver. Read more
Last chance to apply

Generic Modelling Method for Control of Large-Scale, Flexible, Distributed Systems

The project. This PhD topic aims to develop a unified framework, for instance, using an energy-based approach, to formulate control problems for large-scale, flexible, distributed systems. Read more

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