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University of Southampton

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PhD in Computer Science: Uncertainty-Aware Scheduling and Analysis of AI-Powered Cyber-Physical Systems University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

United Kingdom

University

University of Southampton

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Keywords

Computer Science
Electrical Engineering
Mathematics
Artificial Intelligence
Uncertainty Analysis
Job Scheduling
Robotics
Cyber-physical System

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About this position

PhD opportunity in Computer Science at the University of Southampton, UK, in the Cyber-Physical Systems Group.

The project is titled “Uncertainty-aware scheduling and analysis of AI-powered cyber-physical systems” and is supervised by Filip Marković and Geoff Merrett. The topic sits at the intersection of computer science, cyber-physical systems, AI, scheduling, and uncertainty-aware analysis, and is aimed at solving interesting research problems in this area.

This is a PhD opening, not a postdoc or master’s call. The post encourages interested candidates to read the advert carefully and contact the supervisor directly if they are genuinely interested.

A fee waiver is mentioned for citizens from many countries, with eligibility conditions provided in the linked waiver information. No stipend or tuition details are stated in the post itself, so applicants should consult the advert for full funding and admission information.

How to apply: review the linked position description, check the fee-waiver eligibility page, and contact Filip Marković directly with a genuine expression of interest. The FindAPhD advert contains the main application details.

Funding details

Available

What's required

Applicants should be genuinely interested in a PhD in Computer Science focused on cyber-physical systems and uncertainty-aware scheduling/analysis of AI-powered systems. The post asks interested candidates to contact the supervisor directly and to read the advert for the full problem description and eligibility details. A fee waiver is available for citizens from many countries, subject to the linked eligibility conditions.

How to apply

Read the position advert, check the fee-waiver eligibility details, and contact Filip Marković directly if you are genuinely interested. Use the linked FindAPhD advert for the full application information.

More information can be found here

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