CDT in automated learning systems

About CDT

Automated learning has a great impact on our daily life based on the back of the improved computer systems. Systems research and ML Takaful Research. Modern systems research targets the need everywhere for an effective ml. On the contrary, ML research is directly affected by how to spread methods. Moreover, systems research is increasingly exploring ML methods to improve systems, and developed ML research such methods.

Main gains are achieved when the ML development and regulations are equivalent and alleged. This is suitable through a wide range of industries: the systems inside the car, medical devices, phones, sensors networks, status monitoring systems, high -performance performance calculation, high -frequency trading.

CDT is developing experienced researchers via ML staple. This makes a regiment -based program vital, as it treats ML systems as a totally specialization. The interaction of dust, and integration gives students a real experience through multiple systems, approaches and methodologies. The company’s participation is an integral part of the program with integrated internal training as well as entrepreneurship training.

The PhD program in automated learning systems employ students to obtain strong, morally conscious technical jobs, and develop the next generation of leaders. Students will develop foundational research skills in computer systems, machine learning, devices, sensors, control, programming, integrated machine learning environments, artificial intelligence ethics, leadership and entrepreneurship. In the end, all students will have a wide -ranging experience in the real world and improve machine learning methods.

Candidate file

The perfect filter is usually:

• A strong or qualified degree in a relevant field (such as computer science, mathematics, engineering, physical sciences, economics, or any other field where guides from computing and adequate mathematical background) are provided)
• A strong experience of programming, machine learning methods and perfectly deep learning environments (such as PYTORCH) or computer systems background

CDT STUNDSHIPS

• CDT has a minimum of 10 fully funded operations are available to enter September 2026.
• The addresses include The salary, fees and search costs for 4 years.
• As CDT funded by I hate, The application is open to all UK citizens/European Union/other than the European Union Provided that it meets the requirements of a doctorate at the university.
• However, the number of students with International fees setting It can be recruited with restricted (about 3 per year).

An indicator can be found on the status of fees and entry requirements and more details about eligibility standards on our website.

Why Edinburgh?

Edinburgh University is one of the best research universities in the world.

The Information School, which hosts CDT, is constantly classified between the best 30 computer science departments in the world. In 2026, QS World Classification according to the subject, ranked 23rd for the computer and information science system, 24 for data science and AI.

CDT students will be hosted in the latest information forum in the heart of the capital of Scotland, and they are constantly considered one of the most desirable places to live in the world.

How to apply

The deadline for the first stage applications is 11^Y Dec 2025, 23:59

Candidates should refer to CDT for more information on how to apply: Application CDT in automated learning systems Informatics College

communication mlsystems-enquiries@inf.ed.ac.uk

Website: CDT in automated learning systems Informatics College