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PhD Opportunities

Deep Evidential Reasoning for Semantic Vulnerability Analysis

School of Electronics, Electrical Engineering and Computer Science | PHD
Funding
Funded
Reference Number
CSC/2020/40
Application Deadline
31 July 2020
Start Date
26 August 2020

Overview

eBay is a global commerce leader that allows you to shape how the world buys, sells, and gives. You’ll be part of a work culture that’s been genuinely committed to diversity and inclusion since its founding more than 20 years ago. Here, you can just be yourself, do your best work, and have a meaningful impact on people across the globe. We are looking for a Phd Researcher to help shape the future of eBay’s Cyber Crime Security team. We want you to bring your ideas, energy, and dedication to protect and enhance the experience of hundreds of millions of eBay members. You will be expected to research state-of-the-art machine learning, functional clustering, natural language processing, text mining, and classifiers, and apply them to building amazing models that protect eBay members from fraud and risk. The successful candidate will also have the opportunity of working with the eBay Cyber Crime Security team two days a week. We believe that by embedding the PhD research at the heart of our team, systems and data the successful candidate will have a unique opportunity to contribute to the business and industry while actively pursuing their PhD research. This opportunity also provides the successful candidate with the ability to collaborate with eBay's AI and ML leaders globally. Join us and start your career with one of the world’s leading technology innovators, working on some of today’s most complex, highly-scalable systems.

Research Area: Security Intelligence
General Cyber Security Research Area: Software Assurance

Project Description
Security and privacy are arguably the most significant concerns for enterprises, businesses and consumers. The root cause of this concern is cyber criminals exploiting security flaws and weaknesses in the software that underpins the enterprise, business and consumer systems.

To meet this concern we need new approaches to improving software quality, performance and reliability at industrial scale. However, conventional approaches to this, such as Static Application Security Testing, often have very high false positive rates. In addition, it is somewhat simplistic to say whether software has a known vulnerability or not. Attackers will often analyse code from a weakness perspective, chaining these weaknesses across multiple components and using techniques that are more exploitation of poor safety than outright vulnerabilities.

Therefore, what is required is a tool that can detect these weakness, called risk signals, and then to chain, or correlate them, thereby focusing on discovering the relationships between them. This also helps developers to understand the corresponding attack strategies behind risk signals by building up a more comprehensive view of the attack scenarios, thereby allowing developers to make timely decisions and take appropriate actions.

In this project we shall investigate the use of deep learning and artificial intelligence reasoning techniques to firstly detect risk signals in the meta-data associated with software commits to repositories such as GitHub. Secondly, we will investigate the use of AI reasoning techniques to chain, or correlate, these risk signals horizontally amongst multiple software commits to provide a semantically meaningful risk assessment to the security DevOps team. Thirdly, we shall investigate, for the first time, hybrid approaches to reasoning in which we combine the learning and reasoning from both data and domain knowledge in a single novel deep evidential reasoning neural network architecture.

Funding Information

Students entering the programme will normally be required to have a 1st BSc/BEng in Computer Science, Electrical and Electronic Engineering, or a maths based engineering or physical science degree, or equivalent qualification recognised by the University. Students holding an appropriate MEng or MSc (Software conversion) will normally be required to have a 1st or distinction respectively. Furthermore, additional criteria may be applied. All applicants must have significant mathematical and programming experience.

This is a three year full-time PhD, fully supported by eBay, starting August 2020.

Eligibility for funding and stipend requires the applicant to be a UK or EU resident. International applicants may apply, however no stipend will be available.

Applicants should apply electronically through the Queen’s online application portal at: https://dap.qub.ac.uk/portal/
Further information available at: http://www.qub.ac.uk/schools/eeecs/StudyattheSchool/PhDProgrammes

Project Summary
Supervisor
Dr Paul Miller
Mode of Study

Full-time: 3 years


Apply now Register your interest

Computer Science overview

The School of Electronics, Electrical Engineering and Computer Science (EEECS) aims to enhance the way we use technology in communication, data science, computing systems, cyber security, power electronics, intelligent control, and many related areas.

You’ll be part of a dynamic doctoral research environment and will study alongside students from over 40 countries world wide; we supervise students undertaking research in key areas of computer science, including: computing systems, artificial intelligence and cybersecurity. As part of a lively community of over 100 full-time and part-time research students you’ll have the opportunity to develop your research potential in a vibrant research community that prioritises the cross-fertilisation of ideas and innovation in the advancement of knowledge.

Many PhD studentships attract scholarships and top-up supplements. PhD programmes provide our students with the opportunity to acquire an extensive training in research techniques.

Within the School we have a number of specialist research centres including a Global Research Institute, the Institute of Electronics, Communications and Information Technology (ECIT) specialising in Cyber Security, Wireless Innovation and Data Science and scalable computing.

Computer Science Highlights
Industry Links
  • Queen’s researchers have strong links with the local industry, which boasts a rich mix of local startups and multi-nationals. Belfast is the second fastest growing region in the UK in terms of Knowledge Economy activity (Northern Ireland Economy Report, 2018).
World Class Facilities
  • The state-of-the-art £14m Computer Science Building and the Institute of Electronics, Communications and Information Technology offer bespoke research environments.
Internationally Renowned Experts
  • You will be working under the supervision of leading international academic experts.
Key Facts

Research students are encouraged to play a full and active role in relation to the wide range of research activities undertaken within the School and there are many resources available including:

  • A wide range of personal development and specialist training courses offered through the Personal Development Programme
  • Access to the Queen's University Postgraduate Researcher Development Programme
  • Office accommodation with access to computing facilities and support to attend conferences for full-time PhD students

Course content

Research Information

Associated Research
Research within the School is organised into research themes combining strengths by working together on major projects, in many cases in collaboration with key technology companies.
ECIT brings together internationally recognised research groups specialising in key areas of advanced digital and communications technology.

PhD Opportunities
PhD Opportunities are available in a wide range of computer science subjects, aligned to the specific expertise of our PhD supervisors.

Research Impact
Queen’s is a leader in commercial impact and one of the five highest performing universities in the UK for intellectual property commercialisation. We have created over 80 spin-out companies. Three of these -
Kainos, Andor Technology and Fusion Antibodies - have been publicly listed on the London Stock Exchange.

Research Projects
Queen’s has strong collaborative links with industry in Northern Ireland, and internationally. It has a strong funding track record with EPSRC and the EC H2020 programme.

Research Success
The research profile produced by the 2014 UK Research Excellence Framework (REF) graded 80 per cent of our research activity as 'world-leading' or 'internationally excellent', confirming the School's reputation as an internationally-leading department.

Career Prospects

Introduction
For further information on career opportunities at PhD level please contact the Faculty of Engineering and Physical Sciences Student Recruitment Team on askEPS@qub.ac.uk. Our advisors - in consultation with the School - will be happy to provide further information on your research area, possible career prospects and your research application.

People teaching you




Learning Outcomes

Course structure

There is no specific course content as such. You are expected to take research training modules that are supported by the School which focus on quantitative and qualitative research methods. You are also expected to carry out your research under the guidance of your supervisor.

Over the course of study you can attend postgraduate skills training organised by the Graduate School.

You will normally register, in the first instance, as an ‘undifferentiated PhD student’ which means that you have satisfied staff that you are capable of undertaking a research degree. The decision as to whether you should undertake a PhD is delayed until you have completed ‘differentiation’.

Differentiation takes place about 8-9 months after registration for full time students and about 16-18 months for part time students: You are normally asked to submit work to a panel of up two academics and this is followed up with a formal meeting with the ‘Differentiation Panel’. The Panel then make a judgement about your capacity to continue with your study. Sometimes students are advised to revise their research objectives or to consider submitting their work for an MPhil qualification rather than a doctoral qualification.

To complete with a doctoral qualification you will be required to submit a thesis of approx 80,000 words and you will be required to attend a viva voce [oral examination] with an external and internal examiner to defend your thesis.

A PhD programme runs for 3-4 years full-time or 6-8 years part-time. Students can apply for a writing up year should it be required.

The PhD is open to both full and part time candidates and is often a useful preparation for a career within academia or consultancy.

Full time students are often attracted to research degree programmes because they offer an opportunity to pursue in some depth an area of academic interest.

The part time research degree is an exciting option for professionals already working in the education field who are seeking to extend their knowledge on an issue of professional interest. Often part time candidates choose to research an area that is related to their professional responsibilities.

If you meet the Entry Requirements, the next step is to check whether we can supervise research in your chosen area. We only take students to whom we can offer expert research supervision from one of our academic staff. Therefore, your research question needs to engage with the research interests of one of our staff.

Assessment

- Assessment processes for the Research Degree differ from taught degrees. Students will be expected to present write up their work at regular intervals to their supervisor who will provide written and oral feedback; a formal assessment process takes place annually.

This Annual Progress Review requires students to present their work in writing and orally to a panel of academics from within the School. Successful completion of this process will allow students to register for the next academic year.

The final assessment of the doctoral degree is both oral and written. Students will submit their thesis to an internal and external examining team who will review the written thesis before inviting the student to orally defend their work at a Viva Voce.

Feedback

- Supervisors will offer feedback on the research work at regular intervals throughout the period of registration on the degree.

Facilities
Full time PhD students will have access to a shared office space and access to a desk with personal computer and internet access.

Entrance requirements

Graduate
The minimum academic requirement for admission to a research degree programme is normally an Upper Second Class Honours degree from a UK or ROI HE provider, or an equivalent qualification acceptable to the University. Further information can be obtained by contacting the School.

International Students

For information on international qualification equivalents, please check the specific information for your country.

English Language Requirements

Evidence of an IELTS* score of 6.0, with not less than 5.5 in any component or equivalent qualification acceptable to the University is required (*taken within the last 2 years).

International students wishing to apply to Queen's University Belfast (and for whom English is not their first language), must be able to demonstrate their proficiency in English in order to benefit fully from their course of study or research. Non-EEA nationals must also satisfy UK Visas and Immigration (UKVI) immigration requirements for English language for visa purposes.

For more information on English Language requirements for EEA and non-EEA nationals see: www.qub.ac.uk/EnglishLanguageReqs.

If you need to improve your English language skills before you enter this degree programme, INTO Queen's University Belfast offers a range of English language courses. These intensive and flexible courses are designed to improve your English ability for admission to this degree.

As a result of the COVID-19 pandemic, we will be offering Academic English and Pre-sessional courses online only from June to September 2020.

  • Academic English: an intensive English language and study skills course for successful university study at degree level
  • Pre-sessional English: a short intensive academic English course for students starting a degree programme at Queen's University Belfast and who need to improve their English.

Tuition Fees

Northern Ireland (NI) 1 £4,500
Republic of Ireland (ROI) 2 £4,500
England, Scotland or Wales (GB) 1 £4,500
EU Other 3 £22,000
International £22,000

1 EU citizens in the EU Settlement Scheme, with settled or pre-settled status, are expected to be charged the NI or GB tuition fee based on where they are ordinarily resident, however this is provisional and subject to the publication of the Northern Ireland Assembly Student Fees Regulations. Students who are ROI nationals resident in GB are expected to be charged the GB fee, however this is provisional and subject to the publication of the Northern Ireland Assembly student fees Regulations.

2 It is expected that EU students who are ROI nationals resident in ROI will be eligible for NI tuition fees, in line with the Common Travel Agreement arrangements. The tuition fee set out above is provisional and subject to the publication of the Northern Ireland Assembly student fees Regulations.

3 EU Other students (excludes Republic of Ireland nationals living in GB, NI or ROI) are charged tuition fees in line with international fees.

All tuition fees quoted are for the academic year 2021-22, and relate to a single year of study unless stated otherwise. Tuition fees will be subject to an annual inflationary increase, unless explicitly stated otherwise.

For further information please refer to www.qub.ac.uk/brexit-advice/information-for-students.

More information on postgraduate tuition fees.

Computer Science costs

There are no specific additional course costs associated with this programme.

Additional course costs

All Students

Depending on the programme of study, there may also be other extra costs which are not covered by tuition fees, which students will need to consider when planning their studies . Students can borrow books and access online learning resources from any Queen's library. If students wish to purchase recommended texts, rather than borrow them from the University Library, prices per text can range from £30 to £100. Students should also budget between £30 to £100 per year for photocopying, memory sticks and printing charges. Students may wish to consider purchasing an electronic device; costs will vary depending on the specification of the model chosen. There are also additional charges for graduation ceremonies, and library fines. In undertaking a research project students may incur costs associated with transport and/or materials, and there will also be additional costs for printing and binding the thesis. There may also be individually tailored research project expenses and students should consult directly with the School for further information.

How do I fund my study?
1.PhD Opportunities

Find PhD opportunities and funded studentships by subject area.

2.Funded Doctoral Training Programmes

We offer numerous opportunities for funded doctoral study in a world-class research environment. Our centres and partnerships, aim to seek out and nurture outstanding postgraduate research students, and provide targeted training and skills development.

3.PhD loans

The Government offers doctoral loans of up to £26,445 for PhDs and equivalent postgraduate research programmes for English- or Welsh-resident UK and EU students, £10,000 for students in Scotland and up to £5,500 for Northern Ireland students.

4.International Scholarships

Information on Postgraduate Research scholarships for international students.

Funding and Scholarships

The Funding & Scholarship Finder helps prospective and current students find funding to help cover costs towards a whole range of study related expenses.

How to Apply

Apply using our online Postgraduate Applications Portal go.qub.ac.uk/pgapply and follow the step-by-step instructions on how to apply.

Find a supervisor

If you're interested in a particular project, we suggest you contact the relevant academic before you apply, to introduce yourself and ask questions.

To find a potential supervisor aligned with your area of interest, or if you are unsure of who to contact, look through the staff profiles linked here.

You might be asked to provide a short outline of your proposal to help us identify potential supervisors.