Apply Now

The UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intellligence has approximately 12 fully funded doctoral studentships available each year. Apply now for entry in September 2022. The next application deadline is Wednesday, 8 December 2021.

Committed to providing an inclusive environment in which diverse students can thrive, we particularly encourage applications from women, disabled and Black, Asian and Minority Ethnic (BAME) candidates, who are currently under-represented in the sector.

How to apply
Step One:

What are we offering? Find out about Fees and Funding.

Step Two:

Check Entry Requirements.

Step Three:

Select from available projects for September 2022 entry.

  • You should identify three preferred projects.
  • Alternatively, it is possible for you to propose your own project, relevant to the area of model-based safe and trusted artificial intelligence as described on these pages.
Step Four:

Write your research proposal
You should write a 3 – 4 page Research Statement on the project you have listed as your first choice, which will be evaluated as part of the application process. This should incorporate the following (irrespective of whether you are proposing your own project, or applying for an existing proposal):

  • your initial ideas on the particular challenges you would be interested in addressing within the project in the context of Safe and Trusted Artificial Intelligence,
  • a brief review of the relevant state of the art, identifying any limitations or open questions, and
  • your initial ideas on what research you might carry out towards addressing these challenges, referring to existing research literature where appropriate.

If you have listed your own project proposal as your first choice, then you should make clear its relevance to the theme of Safe and Trusted Artificial Intelligence.

Step Five:

Submit a PhD application to the relevant institution/s:

You should pay very careful attention to all the details given in the links above, and the instructions on the King’s and Imperial online application forms. As preliminary indication, whichever institution(s) you are applying to, you will need:

• Your research proposal (which must be submitted with your application).
• Supporting documentation, like transcripts of previous qualifications, academic reference(s), and proof of English language qualifications if English is not your first language.

*If you are proposing your own project then we encourage you to submit applications to both institutions, since this will allow greater flexibility in identifying potential supervisors.

**You may contact a prospective PhD supervisor to informally discuss your ideas before submitting an application, but you should bear in mind that funding decisions will only be made after the applications have been received and processed by both King’s College London and Imperial College London, and by the Centre’s admissions team.

Step Six:

As soon as you have uploaded your institutional application, please complete a Centre Applicant Information Form. You will need to include the reference number from your institutional application. 

Don’t forget this, failure to complete this form may result in your application not being considered.

Step Seven:

Relax! We look forward to receiving your application.

Fees and funding

The Centre will fund up to 15 studentships each year, depending on the support available. Each studentship will be funded for 4 years. Funding includes tuition fees, stipend and a Research Training Support Grant (RTSG).

    • Stipend: Students will receive a tax-free stipend of circa £17,000 per year.
    • RTSG: A generous allowance will be provided for research consumables and additional training, and for attending UK and international conferences.

Who can apply?

Any prospective doctoral student wishing to study at the Centre, including prospective international students, can apply for a UKRI studentship. All UKRI-funded doctoral students will be eligible for the full award – both the stipend to support living costs, and fees at the UK research organisation rate. However, UKRI international studentships are limited to 30 percent of the total cohort and places will be competitive.

A change in UKRI criteria came into force from the start of the 2021 academic year.

For further guidance on fee status, visit the:

The information here is intended to summarise UKRI guidance on eligibility and has been updated in line with recent UKRI announcements.

Home Students

Home students will be eligible for a full UKRI award, including fees and stipend, if they satisfy UKRI criteria, including residency requirements. To be classed as a Home student, candidates must meet the following criteria:

  •  be a UK National (meeting residency requirements), or
  •  have settled status, or
  •  have pre-settled status (meeting residency requirements), or
  •  have indefinite leave to remain or enter.

If a candidate does not meet the criteria above, they will be classed as an International student.

Following the written statement by The Minister of State for Universities, EU, other EEA and Swiss nationals will no longer be eligible for home fee status from the academic year starting in August 2021. It will not affect EU, other EEA and Swiss nationals benefiting from Citizens’ Rights under the EU Withdrawal Agreement, EEA EFTA Separation Agreement or Swiss Citizens’ Rights Agreement respectively. It will also not apply to Irish nationals living in the UK and Ireland whose right to study and to access benefits and services will be preserved under the Common Travel Area arrangement.

Students living within the EU who do not meet eligibility requirements for Home Fee status will need to submit applications as international students.

International students

International students are eligible for full UKRI-funded studentships, including fees (at the home level) and stipend. Studentships for international students are limited in number and competitive, and we encourage strong international candidates to apply.

Part-time students

It is possible to apply to the Centre to study on a part-time basis and we welcome applications from people who are unable to study full-time due to managing, for example, caring responsibilities, a disability or chronic illness. Because of the nature of the Centre and its training programme, the demands on part-time students are somewhat different to those made of part-time students on a standard PhD programme. All part-time students enrolled in the Centre are required to:

  • Be physically present in the department during normal working hours for at least two days a week.
  • Attend all compulsory elements of the Centre, including all training activities and all cohort building activities. This may sometimes necessitate full-time attendance over a period (for example, full-time attendance at the Centre Summer School will be expected over a 3 – 4 day period), and such activities may fall outside a student’s typical part-time hours. (Note that the Centre has a Carers’ Fund, which students may apply to in order to cover caring costs incurred by attendance of Centre activities that fall outside of normal hours.)

Part-time students will be supported by a pro-rata studentship in line with their mode of registration (assuming eligibility for a studentship as per UKRI Terms and Conditions).

If you are interested in the possibility of part-time study within the Centre please send an email to in advance of the application deadline in order to discuss this. The Centre is unable to consider part-time applications from applicants who do not do this.

Students in full-time employment

Applicants should note that it would be exceptional for the Centre to enrol a student who is in full-time employment due to the substantial commitment required to participate in our training programme. If you are in full-time employment and are interested in the possibility of part-time study within the Centre please send an email to in advance of the application deadline in order to discuss this.

Self-funded students

We also welcome applications from students (Home/EU/International) who have secured their own funding or are in receipt of alternative scholarships.

If you are a self-funded student and wish to study within the Centre please send an email to in advance of the application deadline in order to discuss this.


Entry requirements

Applicants will normally be expected to have a distinction at MSc level (or equivalent) in computer science or related discipline. However, in exceptional cases we may consider other qualifications (including at undergraduate level) and all applications will be considered on their merit as appropriate to the individual case. Applications from individuals with non-standard backgrounds (e.g. those from industry or returning from a career break) are encouraged, as are applications from women, disabled and Black, Asian and Minority Ethnic (BAME) candidates, who are currently under-represented in the sector. All applicants will need to demonstrate enthusiasm and aptitude for the programme. 

It is not necessary that an applicant has completed their current course of study before applying. If an applicant has not completed their current course of study, any offer may be conditional on the eventual degree classification.  

Applicants must have a good command of English and be able to apply it in an academic environment. Therefore, those who have not been educated in English will usually be required to provide certificated proof of competence in English language before starting their studies. Applicants should have an IELTS Score of 6.5 overall with a minimum of 6.0 in each skill, or a TOEFL iBT score of 92 overall with a minimum of 23 in writing and 20 in each of the other skills. Equivalent language qualifications may also be considered, see Band D of the King’s College London English Language Requirements, and Accepted English Qualifications (at Standard level) in the Imperial College London English Language Requirements.

Application Timeline

The next cohort will enter in September 2022. Please see application deadlines below. Later rounds will only run if places remain. Apply as early as you can!

Application Deadline8 December 202115 February 202211 April 2022
Notification Expected ByFebruary 2022April 2022June 2022


Application Checklist

Please check that you complete the following steps correctly:

1. Submit a PhD application to the relevant institution/s

2. Complete a Centre Applicant Information Form.

What happens next

Once you submit your complete Centre application it will be considered by the Centre selection committee. If you meet the eligibility requirements, your application will be discussed in next selection panel and you may be contacted by some supervisors of your preferred projects to conduct interviews.

Any questions relating to the Centre should be sent to Note that this email address is not monitored outside of working hours, so any questions relating to an application should be sent well in advance of the application deadline.


Frequently Asked Questions - Eligibility/Background

What are the minimal computing skills you ask for? Is a programming intensive background a must?

Our students come from a variety of backgrounds including, but not limited to, computer science. Programming skills are not a pre-requisite, but candidates must demonstrate sufficient technical skills and knowledge to cope with the programme. We consider each case individually, and award places on merit.

What is considered a related discipline? 

A relevant scientific or technical discipline could be computer science, mathematics or physics.

Do I need to have a strong AI  background?

We require candidates to have sufficient technical knowledge to demonstrate they can cope with the programme and some expertise that is applicable to safe and trusted AI.

Do you expect candidates to have published papers already?

No, this is a training programme and we do not expect applicants to already have publications. Many of our successful applicants have not published a paper before applying to the programme. Of course, applicants who have already published, should mention this in their application.

Can International students apply for the grant?

We can support a small number of international students with a full studentship (including a stipend, tuition fees and a generous allowance for research related expenses). International students may constitute up to 30% of our cohort and so these funded studentships are competitive. See more information in the Fees and Funding section above.

What are the new funding rules for candidates from the EU?

Please see the Fees and Funding section above for information about funding for EU candidates. We also advise applicants to contact Postgraduate Admissions at King’s and Postgraduate Application Enquiries at Imperial for more detailed questions about eligibility for funding.

I am returning to education. Are you open to applications from people in my situation?

Yes. Applications from individuals with non-standard backgrounds (for example, those from industry or returning from a career break) are actively encouraged.

What does the Centre do to support equality, diversity and inclusion? 

The Centre is committed to providing an inclusive environment in which diverse students can thrive. Diversity is crucial for enabling world leading research, impact and teaching, and an inclusive environment allows people to contribute their best. The Centre has identified five key Equality Diversity and Inclusion Objectives to focus our work in this area which you can read about on our Programme information pages. We are keen to receive applications from women, disabled, and Black, Asian and Minority Ethnic (BAME) candidates, who are currently under-represented in the sector.

What support is provided for students who are parents or carers? 

The Centre welcomes applications from parents and carers.

We are committed to ensuring an inclusive interview process. In addition to the travel reimbursement available to all applicants, we are pleased to reimburse caring costs for a dependent child or adult should these be incurred as a result of attending interview.

Once students join the Centre, we have in place, as standard, funds to support care costs incurred from attending activities outside of normal working hours. We encourage parents and carers who are considering applying to email to discuss your individual needs and how the Centre might support you if your application is successful (for example, with flexible working arrangements, or part-time study).

There is also institutional support for students who are carers at King’s and at Imperial, and the terms of the UKRI grant makes provision for maternity, paternity, adoption and shared parental leave.

How many current students also work elsewhere, and how do they balance the PhD with this? 

There are lots of opportunities for work available within Imperial and King’s. For example, many of our students enjoy paid work as Teaching Assistants (TAs). Please note that UKRI recommend that funded doctoral students undertake no more than six hours paid work per week, and it is always important for students to discuss any other activities of this kind with their supervisors in the first instance.

Can I study part time?

It is possible to apply to the Centre to study on a part-time basis and we welcome applications from people who are unable to study full-time due to managing, for example, caring responsibilities, a disability, or chronic illness. Because of the nature of the Centre and its training programme, the demands on part-time students are somewhat different to those made of part-time students on a standard PhD programme. Please see further information in the Fees and Funding section.

Is part-time funding pro-rated from a full-time studentship funding?

Yes, see further information in the Fees and Funding section above.


Frequently Asked Questions - Application

See also How to Apply

What would make my application stand out? What do you particularly want me to mention? How detailed should the proposal be?

Your research proposal is your opportunity to show your interest and ideas about the selected research project. You should demonstrate a good level of understanding about the project area. Use the research proposal as an opportunity to show your ideas, skills and motivation. You will find guidance about writing your proposal in the sections on How to make an application to Kings and How to make an application to Imperial.

Can I apply for a studentship before contacting a potential supervisor?

It can be helpful to contact a prospective PhD supervisor to informally discuss your ideas before submitting an application but it is not mandatory to do so. See also How to apply.

I would like to suggest my own research proposal. Is this possible?

Yes. Here are a few tips if submitting your own proposal:

  • We encourage you to make applications to both institutions, since this will allow greater flexibility in identifying potential supervisors.
  • If you have already identified a potential supervisor, you may want to make contact and discuss the idea before submitting your proposal. (See the information about academics at the Department of Informatics at King’s and at the Department of Computing at Imperial for details about potential supervisors.)
  • In your research Proposal you must make clear the relevance of your project to the theme of Safe and Trusted Artificial Intelligence

How are research proposals assessed given that they are written for one project but a candidate may be interested in multiple projects?

Applicants should submit one research proposal about their preferred project. The objective of that proposal is to allow the CDT selection panel and any potential supervisors to understand the research interests and ideas of a candidate, and to assess their capability to explain and communicate them. One research proposal, even if written for a different project, is enough for supervisors to make an initial assessment of a candidate. If a supervisor is interested in a candidate, they may decide to have an informal conversation and/or ask them to write another proposal about their specific project(s).

Do you require academic references?

We require two references. These may be academic referees or relevant employer referees from research institutions/companies. Note that academic referees must have university email addresses and employer referees should have the official email address of the company (gmail, hotmail etc addresses are not acceptable). If you are applying to King’s College, and already have two academic references, you can scan and upload these to the online application instead of providing contact details (note that the references must be signed and on headed paper). If you are applying to Imperial College, you must provide referee contact details.

Please remember that it is your responsibility to ensure we have received the references by application deadline; ensure to start your application before the deadline and contact your referees to let them know we will be requesting a reference from them.

UKRI CDT in Safe and Trusted AI is a collaboration between King’s and Imperial. Which institution will award my degree? 

A student’s PhD registration will be made at the institution that employs their lead supervisor. Therefore, if a student’s lead supervisor is based at King’s, the student will be registered as a King’s student and their final PhD award will be from King’s. If a student’s lead supervisor is based at Imperial, the student will be registered as an Imperial student and the final PhD award will be from Imperial.

Is it possible to start my PhD programme in the Spring?

As the Centre provides an integrated training programme with activities that follow the academic year, we only accept entrants in September of each year.


Frequently Asked Questions - Studentship Interviews

Where and when will interviews take place?

You can follow our expected timelines for recruitment activity by viewing our Application Timeline. Following submission of an application, shortlisted candidates will be invited to attend an interview, at either King’s College London or Imperial College London, (or virtually*) with the supervisors of the project for which you have made an application (or with the supervisor identified as being a good fit for your proposed project) and a supporting panel of fellow academics. The supervisors will find a date and time that is mutually convenient with you for an interview to take place. *In 2020-21 you will be invited to an online interview.

What can I expect from the interview?

Interviews typically take up to one hour and you will be asked questions so that the academics can find out more about you, your research interest and your skill set. It is likely that you will be asked questions around the following areas:

  • your academic background and other relevant experience to the PhD project;
  • your suitability in relation to the Centre’s research aims;
  • your suitability in relation to the Centre model, which adopts a cohort-based approach and an integrated training programme;
  • your technical aptitude for the Centre (and this may involve reading scientific papers and solving problems);
  • your specific research interests;
  • your motivations for doing a PhD; and
  • your prior knowledge of AI and related areas.

Supervisors may ask you to carry out a specific form of assessment such as (but not limited to) reviewing a paper, preparing a presentation, or completing a technical test. A supervisor may also ask you to prepare something specific to their own research agenda (particularly if being interviewed by a supervisor whose project is the second or third choice in your application).

Following an initial interview, further interviews may be arranged as a follow-up if required by the project supervisors or by the Centre Directors.

You will also be given the opportunity to ask questions about the Centre training programme and any other element of the PhD project or institution at which you (and your PhD project) will be hosted.

What should I wear to an interview?

We want you to be comfortable in your interview so feel free to dress as you wish. It is unlikely that the academics leading the interview will be wearing formal office wear so don’t feel pressured to do so. We want you to feel relaxed so you can perform at your best.

Does the Centre financially reimburse candidates for attending an interview?

In 2020-21 interviews take place online. But, yes, when we are able to ask candidates to attend campus, we reimburse travel costs. To discuss the process for reimbursement, please contact the Centre Manager via once you have been invited to interview for a studentship.


Frequently Asked Questions - Post-Interviews

When will I find out about the outcome of my application?

Please have a look at the Application Timeline for the date by which you will be informed via email about the outcome of your application in the particular round in which you applied. We may occasionally need to defer decisions about your application, in which case you will be contacted by email and notified of the delay by the original deadline as detailed in the Application Timeline.

Note that we are unable to offer individual feedback on written applications, but candidates who are interviewed can request feedback from their interview by contacting; it is at the panel’s discretion to provide feedback to candidates.

I have been offered a studentship, what happens next?

If you are offered a place, you will first receive an offer of funding from the Centre Office, and you will need to accept this via email by a specific deadline detailed in the email. Following acceptance of the studentship funding, the King’s Apply Portal or Imperial Application Portal will be updated, and you will receive an offer letter from the relevant institution’s Admissions Team. The offer you receive will be an offer of a place on this specific programme. It is important for candidates to accept the offer made via the institution’s admissions portal.

You must therefore accept:

  • the offer of funding from the Centre Office; and
  • the offer of a place from King’s College London or Imperial College London via the Admissions Team of the institution at which you will be registered for your PhD.

Can I keep in touch before joining the Centre?

The Centre Office will send regular communications when you accept a studentship with us through to when you join us at our Induction in late September/early October. The Centre Manager will send paperwork over the summer months to you to complete before joining the Centre, and King’s or Imperial (depending on the institution at which you are accepted) will send you enrolment information from August. It is recommended that you keep in touch your supervisor and the Centre Office ( and send along any queries you have after accepting a place on the programme.

When is Induction?

We will confirm the date of our Centre Induction event in mid to late August (and this is distinct from, and additional to, any induction from the host department and/or institution). It is most likely to take place in the first week of October, and you will meet the Centre Team, Centre Directors, and some of our current students.

Frequently Asked Questions - Other

What are indicative job prospects after study at the CDT?

 At this point (we have only been running for two years at the time of writing in July 2021), we can’t give information about where our students go after graduating from our Centre. However, we do have experience with students from our institutions in similar or related topics, who are sought after in different areas. Some have gone on to become academic researchers and followed an academic career in prestigious universities, some have secured roles with AI startups and some have gone on to work with and for some of the larger AI technology companies. We also have students who have gone on to lead on technology and AI for major banks, management consultancies and major organisations in other industry sectors. We know that there’s a great (and increasing) demand for students with the skills and training that we provide, which is one of the reasons so many companies want to partner with us. Indeed, we are working closely with our industry partners to provide a greater link for our students to different kinds of organisation in advance of finishing their PhDs. The opportunities are truly endless right now.

In addition to the stipend and tuition fees, what additional funding is offered to students?

Each scholarship includes a generous Research Training Support Grant for attending international and UK conferences, for research consumables and for additional training. In addition, funded students will be offered a laptop for the duration of their studies when they start.

Available Projects

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  • Towards Trusted Epidemic Simulation

    Project ID: STAI-CDT-2021-IC-4
    Themes: Verification
    Supervisor: Wayne Luk

    Agent-based models (ABMs) are powerful methods to describe the spread of epidemics. An ABM treats each susceptible individual as an agent in a simulated world. The simulation algorithm of the model tracks the health status...

    Read more

  • Data-Driven and Explainable Discrete Optimization for Effective Transportation in Healthcare

    Project ID: STAI-CDT-2021-KCL-3
    Themes: AI Planning, Argumentation, Scheduling
    Supervisor: Dimitrios Letsios

    This project aims to contribute to the development of safe and trusted, artificially intelligent transportation in healthcare. The London Ambulance Service (LAS) operates more than 1100 ambulances to respond to medical...

    Read more

  • Enhancing Scale and Performance of Safe and Trusted Multi-Agent Planning

    Project ID: STAI-CDT-2021-IC-5
    Themes: AI Planning
    Supervisor: Wayne Luk

    Cooperative Multi-Agent Planning (MAP) is a topic in symbolic artificial intelligence (AI). In a cooperative MAP system, multiple agents collaborate to achieve a common goal. A cooperative MAP solver produces...

    Read more

  • Verifying Safety and Reliability of Robotic Swarms

    Project ID: STAI-CDT-2021-IC-6
    Themes: Logic, Verification
    Supervisor: Alessio Lomuscio

    The effective development and deployment of single-robot systems is known to be increasingly problematic in a variety of application domains including search and rescue, remote exploration, de-mining, etc. These and other...

    Read more

  • Verification of AI-based perception systems

    Project ID: STAI-CDT-2021-IC-7
    Themes: Logic, Verification
    Supervisor: Alessio Lomuscio

    State-of-the-art present perception systems, including those based on Lidar or cameras, are increasingly being used in a range of critical applications including security and autonomous vehicles. While the present deep...

    Read more

  • Neural-symbolic Reinforcement Learning.

    Project ID: STAI-CDT-2021-IC-2
    Themes: AI Planning, Logic
    Supervisor: Alessandra Russo

    Recent advances in deep reinforcement learning (DRL) have allowed computer programs to beat humans at complex games like Chess or Go years before the original projections. However, the SOTA in DRL misses out on some of the...

    Read more

  • Safe Rational Interactions in Data-driven Control

    Project ID: STAI-CDT-2021-IC-8
    Themes: AI Planning, Logic, Verification
    Supervisor: Alessio Lomuscio, David Angeli

    In autonomous and multi-agent systems players are normally assumed rational and cooperating or competing in groups to achieve their overall objectives. Useful methods to study the resulting interactions come from game...

    Read more

  • Verification of neural-symbolic agent-based systems

    Project ID: STAI-CDT-2021-IC-9
    Themes: Logic, Verification
    Supervisor: Alessio Lomuscio

    Considerable work has been carried out in the past two decades on Verification of Multi-Agent Systems. Various methods based on binary-decision diagrams, bounded model checking, abstraction, symmetry reduction have been...

    Read more

  • Abstract Interpretation for Safe Machine Learning

    Project ID: STAI-CDT-2021-IC-10
    Themes: Logic, Verification
    Supervisor: Sergio Maffeis

    Machine learning (ML) techniques such as Support Vector Machines, Random Forests and Neural Networks are being applied with great success to a wide range of complex and sometimes safety-critical tasks. Recent research in...

    Read more

  • Argumentation-based Interactive Explainable Scheduling

    Project ID: STAI-CDT-2021-IC-11
    Themes: Argumentation
    Supervisor: Ruth Misener

    AI is continuing to make progress in many settings, fuelled by data availability and computational power, but it is widely acknowledged that it cannot fully benefit society without addressing its widespread inability to...

    Read more

  • Correct-by-construction domain-specific AI planners

    Project ID: STAI-CDT-2021-KCL-4
    Themes: AI Planning, Verification
    Supervisor: Steffen Zschaler

    When using complex algorithms to make decisions within autonomous systems, the weak link is the abstract model used by the algorithms: any errors in the model may lead to unanticipated behaviour potentially risking...

    Read more

  • A Novel Model-driven AI Paradigm for Intrusion Detection

    Project ID: STAI-CDT-2021-KCL-6
    Themes: Logic, Verification
    Supervisor: Fabio Pierazzi

    This project aims to investigate, design and develop new model-driven methods for AI-based network intrusion detection systems. The emphasis is on designing an AI model that is able to verify and explain its safety...

    Read more

  • Probabilistic Abstract Interpretation of Deep Neural Networks

    Project ID: STAI-CDT-2021-IC-14
    Themes: Verification
    Supervisor: Herbert Wiklicky

    “The extraction of (symbolic) rules which describe the operation of (deep) neural networks which have been trained to perform a certain task is central to explaining their inner workings in order to judge their...

    Read more

  • Trustworthy AI for DNA Sequencing

    Project ID: STAI-CDT-2021-IC-16
    Themes: Logic, Reasoning
    Supervisor: Thomas Heinis

    DNA sequencing is becoming ever more important for medical applications, be it for predictive medicine or precision/personalised medicine. At the same time, DNA sequencing is starting to use AI to map signals (from the...

    Read more

  • Trustful Ontology Engineering and Reasoning through Provenance

    Project ID: STAI-CDT-2021-KCL-12
    Themes: AI Provenance, Logic
    Supervisor: Albert Meroño Peñuela

    Ontologies have become fundamental AI artifacts in providing knowledge to intelligent systems. The concepts and relationships formalised in these ontologies are frequently used to semantically annotate data, helping...

    Read more

  • Trusted AI with WikiEthics and Agent Reasoning

    Project ID: STAI-CDT-2021-KCL-14
    Themes: AI Provenance, Norms
    Supervisor: Albert Meroño Peñuela

    Deep learning has recently brought various AI breakthroughs in areas like computer vision, speech recognition, and language models. Thanks to these, digital photography is now at our fingertips, we can ask anything to home...

    Read more

  • Symbolic machine learning techniques for explainable AI

    Project ID: STAI-CDT-2021-KCL-15
    Themes: AI Planning, Verification
    Supervisor: Kevin Lano

    Machine learning (ML) approaches such as encoder-decoder networks and LSTM have been successfully used for numerous tasks involving translation or prediction of information (Otter et al, 2020). However, the knowledge...

    Read more

  • Synthesizing and revising plans for autonomous robot adaptation

    Project ID: STAI-CDT-2021-IC-20
    Themes: AI Planning, Logic, Verification
    Supervisor: Dalal Alrajeh

    AI Planning is concerned with producing plans that are guaranteed to achieve a robot’s goals, assuming the pre-specified assumptions about the environment in which it operates hold. However, no matter how detailed these...

    Read more

  • Specification, diagnosis and repair for deep learning systems

    Project ID: STAI-CDT-2021-IC-21
    Themes: Logic, Verification
    Supervisor: Dalal Alrajeh

    Recent times have witnessed a flurry of advancements in ML, enabling their widespread application in domains such healthcare, security and autonomous vehicles. However, their deployment has also come at cost, resulting in...

    Read more

  • Reward Synthesis from Logical Specifications

    Project ID: STAI-CDT-2021-IC-22
    Themes: AI Planning, Logic, Verification
    Supervisor: Francesco Belardinelli

    The growing societal impact of AI-based systems has brought with it a set of risks and concerns [1, 2].Indeed, unintended and harmful behaviours may emerge from the application of machine learning (ML) algorithms, including...

    Read more

  • Run-time Verification for Safe and Verifiable AI

    Project ID: STAI-CDT-2021-IC-23
    Themes: AI Planning, Logic, Verification
    Supervisor: Francesco Belardinelli

    The growing societal impact of AI-based systems has brought with it a set of risks and concerns [1, 2].Indeed, unintended and harmful behaviours may emerge from the application of machine learning (ML) algorithms, including...

    Read more

  • Neuro-Symbolic Policy Learning and Representation for Interpretable and Formally-Verifiable Reinforcement Learning

    Project ID: STAI-CDT-2021-IC-24
    Themes: AI Planning, Logic, Verification
    Supervisor: Francesco Belardinelli

    The growing societal impact of AI-based systems has brought with it a set of risks and concerns [1, 2].Indeed, unintended and harmful behaviours may emerge from the application of machine learning (ML) algorithms, including...

    Read more

  • Verified Multi-Agent Programming with Actor Models

    Project ID: STAI-CDT-2022-ICL-1
    Themes: Logic, Verification
    Supervisor: Prof Nobuko Yoshida

    Today, most computer applications are developed as ensembles of concurrent multi-agents (or components), that communicate via message passing across some network. Modern programming languages and toolkits provide...

    Read more

  • Neural-symbolic learning of interpretable high-level knowledge from raw data

    Project ID: STAI-CDT-2022-IC-2
    Themes: Logic, Norms
    Supervisor: Alessandra Russo

    Within the last two decades, Deep Learning has been demonstrated to achieve high accuracy in computational tasks that involve large quantities of data and for which manual feature extraction would be difficult to handle,...

    Read more

  • Creating and evolving knowledge graphs at scale for explainable AI

    Project ID: STAI-CDT-2022-KCL-1
    Themes: AI Provenance, Argumentation, Verification
    Supervisor: Prof Elena Simperl

    Knowledge graphs and knowledge bases are forms of symbolic knowledge representations used across AI applications. Both refer to a set of technologies that organise data for easier access, capture information about people,...

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  • Explainable Reinforcement Learning with Causality

    Project ID: STAI-CDT-2022-IC-4
    Themes: Logic, Verification
    Supervisor: Francesco Belardinelli

    Reinforcement Learning (RL) is a technique widely used to allow agents to learn behaviours based on a reward/punishment mechanism [1]. In combination with methods from deep learning, RL is currently applied in a number of...

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  • Building Abstract Representations to Check Multi-Agent Deep Reinforcement-Learning Behaviors

    Project ID: STAI-CDT-2022-IC-3
    Themes: Logic, Verification
    Supervisor: Francesco Belardinelli

    Reinforcement Learning, and its extension Deep Reinforcement Learning (DRL), are Machine Learning (ML) techniques that allow autonomous agents to learn optimal behaviours (called policies) in unknown and complex...

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