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PhD Studentship in Cyber-Physical Systems and Trusted Autonomy

  • Full or part time
  • Application Deadline
    Saturday, February 29, 2020
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

Number of awards

Start date and duration
The usual start dates are in January, April and September 2020, although in some circumstances an alternative start date can be arranged. The funding is provided for 3 years.

Cyber-physical systems (CPS) are networks of physical and digital components and present the next generation of large-scale highly-interconnected networked embedded systems. On the one hand, CPS open enormous opportunities as they form the core of emerging smart devices and services which are going to revolutionize many traditional industries such as automotive, traffic management, power generation and delivery, as well as manufacturing. On the other hand, highly autonomous systems pose special engineering challenges as any unexpected behaviour might lead to large financial losses or even human deaths.

The PhD studentship provides an opportunity to work on topics related to safety and control of cyber-physical systems with the aim to develop algorithms and tools to support trusted autonomy. The successful candidate will work under supervision of Dr Sergiy Bogomolov ( and will join the Advanced Model-Based Engineering and Reasoning (AMBER) group in the School of Computing (

Possible research topics are as follows:

-Development of algorithms to control autonomous systems (“Which steps should we undertake to steer an autonomous vehicle from point A to point B?”)
-Safety and dependability of autonomous systems (“How to ensure safety of autonomous systems, e.g., based on the machine learning algorithms?”)

You are strongly encouraged to informally contact Dr Sergiy Bogomolov at prior to submitting your application.

The applications will be assessed on a rolling basis. An early application is recommended.

School of Computing (, Newcastle University

Name of supervisor(s)
Dr Sergiy Bogomolov (, Newcastle University

Eligibility Criteria
The successful candidate will have solid programming skills in C/C++, Java, Matlab and/or other programming languages. The knowledge of discrete mathematics, linear algebra, theory of differential equations and/or other areas of maths will be beneficial. The candidates are expected to have Bachelor or Master degree in Computer Science, Mathematics or related areas by the time they commence the PhD program in Newcastle University. The award is available to UK/EU and international students.

How to apply
You must apply through the University’s online postgraduate application system

All relevant fields should be completed, but fields marked with a red asterisk in the application portal must to be completed. The following information will help us to process your application. You will need to:

insert the programme code 8050F in the programme of study section
• select ’PhD Computer Science (full time) - (Computing Science)’ as the programme of study
• insert the studentship code comp018 in the studentship/partnership reference field
• attach a covering letter and CV. The covering letter must state the title of the studentship, quote reference code COMP018 and state how your interests and experience relate to the topics outlined above
• attach degree transcripts and certificates (if available) and, if English is not your first language, a copy of your English language qualifications (if available)

Please also send a copy of your application documents to and .

For further details, please contact Dr Sergiy Bogomolov

Funding Notes

Value of award
100% of tuition fees for UK/EU and international students and an annual maintenance grant equivalent to the National Minimum Doctoral Stipend (for 2019/20 this is £15,009) will be paid.

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