Close date: Open until you fill

Funding amount: A waiver of full tuition fees (home students only) and the salary prices above (currently at 20,780 pounds for the academic year 2025/26, is in line with inflation). RTSG training and support grant (RTSG) worth 3000 pounds annually. Funding is available for 4 years.

Close: Open until the situation is filled

The comprehensive goal of this project is to find a synergy between methods and modern machine learning ideas and statistical mechanics to study the dynamics of randomness with the application to analyze the time chains. In particular, the project will examine and develop methods that go beyond the Markovian model. You will look at a set of time chains data, focusing on those that show difficult properties of uncertainty, irregular and mixed mixed. It will study a set of models and technologies that exceed the approaches of Marcovian, including government space models, tensioner networks and machine learning frameworks such as repeated neuroma and transformers. Models and data groups will be studied and measured in the main tasks related to prediction/prediction and detection of anomalies. Compared to well -known analytical methods and well -known Markov models will be made whenever possible. The expected results include a uniform, non -Marcovian frame for analyzing time chains, a set of related data groups, and widespread statistical studies comparing different methods. The successful candidate will be supervised by:

Dr. Edward Gilman (www.nottingham.ac.uk/physics/people/edWard.gillman))

and

Professor Juan B. Jaran (www.nottingham.ac.uk/physics/people/juan.garrahan))

Supervisors: Dr. Edward Gilman, Professor Juan B. Ajarahan

Entry requirements

Open to UK citizens only (this position will require national security examination at the level of security examination (SC), making restrictions on UK citizens necessary). The expected start date in October 2025. We are looking for candidates with:

• Topic experience at the required level (for example 2.1 or the highest bachelor’s degree in physics, mathematics or computer science)
• Prepare to adapt and work through different specialties
• The ability to work independently and cooperatively
• Commitment to inclusiveness, responsible research and innovation

How to apply

Applications must be submitted by following the steps shown on the page www.nottingham.ac.uk/physics/studywithus/postgraduate/howtoapply.aspx

In the “Search Suggestion Department” in the online application, he simply mentioned that you are applying to the open position on “Automated Learning for Possibility” with Dr. Edward Gilman and Professor Juan B. Against Jaran as a supervisor.

Financing Fullly finances and directly for this project only. A waiver of full tuition fees (home students only) and the salary prices are higher (currently 20,780 pounds sterling for 2025/26academich, in line with inflation). Funding is available for 4 years.

The deadline for the application: Open until the situation is filled

Inquiries: Contact Dr. Edward Gilman (Edward.gillman@nottingham.ac.uk))