Applications for the funded opportunities are now open. The full list of projects can be found below:
- Scalable model agnostic GPU framework for Bayesian Deep Learning and Bayesian optimization
- Track Before Detect Bayes
- Distributed implementations of machine-learnt defect detection for Additive Manufacturing
- Faster Uncertainty Quantification of Hydrocodes
- Scheduling of Distributed Information Processing
- Radio-frequency Image Processing
- Scalable Track Analytics
- Data-Driven Intelligence for Countering Crime
Students should apply online via our website and provide the Studentship title and Supervisor details when prompted. Should you wish to apply for more than one project, please provide a ranked list of those you are interested in.
For October 2019 entry the Application deadline is Saturday 31 August 2019.
Eligibility and funding
These studentships are open to UK & EU Students and are fully funded for four years including tuition fees and maintenance stipend at the UKRI Doctoral Stipend Rate (£15,009 per year for 2019/20).
Applicants should have, or be expected to obtain, a minimum of a 2.1 undergraduate degree, Masters qualification or hold exceptional work experience in a related field.
Successful candidates will also have experience of research within Maths, Engineering or Computer Science areas as well as good communication and writing skills.
The University is committed to providing an environment which recognises and values people differences, supporting all staff and students in maximising their potential to succeed. Because of this, all of the projects offered through the CDT are available for both full and part time students. We also have a number of family friendly policies and have a wide range of assistance that can be provided for students with disability requirements. The CDT encourages students from diverse backgrounds to apply and aims to capitalise on the strengths that those differences will bring to the centre.
Can I apply for my own research topic?
No. The topics have been co-created by academics and non-academic partners who are part-funding the PhDs. That said, there will always be scope within a PhD to refine the topic to be well aligned with an individual’s interests and achievements. The topics are therefore relatively broad and so there is likely to be scope to pursue your specific interests within that broad topic area.
What should I include in the “research proposal”?
Just cut-and-paste the content of the advert: the research proposal won’t be assessed for any of the CDT’s studentships.
Based on my nationality, am I eligible to apply?
If you are a UK or EU citizen then you are eligible. If you are not an EU citizen, then unfortunately you are not eligible to apply.
I am an EU national, but haven’t been living in the UK. Am I right that I can’t apply?
No. If you are an EU citizen then you are eligible to apply. There is a complicated constraint on how many EU students who have not been living in the UK for the last three years that we will be able to support in total. We do not anticipate that constraint to impact on our ability to recruit students.
Are fees and stipend covered?
The funding does include PhD fees and a stipend for four years.
Is the stipend enough to live in Liverpool?
This is the standard EPSRC stipend which many PhD students have in Liverpool and it is widely perceived to be sufficient by current PhD students.
Is there an initial MSc or MRes year?
No. You will start the PhD on day one. The training will be integral to the PhD and tailored based on both your specific previous experience and the requirements associated with the specific PhD topic.
How long does the PhD last?
University regulations dictate that you must submit within four years of starting. Most students submit at some point after the end of their third year and that is the anticipation for students in the CDT.
Why Research at Liverpool?
Every project within the centre is offered in collaboration with an industrial partner who as well as providing co-supervision will also offer the unique opportunity for students to be embedded within industry, accessing state of the art computing platforms, working on real world problems, using live benchmarking and data. Our graduates will gain unparalleled experiences answering industry need while working across academic disciplines in highly sought-after topic areas.
As well as learning from academic and industrial world leaders, the centre has a dedicated programme of interdisciplinary research training including the opportunity to undertake modules at the global pinnacle of Data Science teaching. A large number of events and training sessions are undertaken as a cohort of PhD students, allowing you to build personal and professional relationships that we hope will lead to research collaboration either now or in your future.
Graduates from this CDT will have the essential skills needed to become future leaders in data science, be it in academia or industry.