University of Surrey

A fully-funded PhD studentship that covers 3.5 years full international
tuition, stipend of £20,668k per year, a £1k research training support per
year is available for an April or July 2023 PhD start. The studentship is
partly sponsored by National Physics Lab (NPL) in the UK and it will
involve a secondment for at least three months in the Data Science
Department of NPL during the course of the PhD.
 
The topic is on the intersection of machine learning and sequential Monte
Carlo methods and we welcome general interests on statistical machine
learning and computational statistics. We are looking for candidates who
holds a Bachelor’s degree or above in Computer Science, Electrical
Engineering, Statistics, Mathematics, Physics or similar (a First Class or
the equivalent from an overseas university) with a strong research
background on statistical machine learning, deep learning, or computational
statistics.
 
The application is rolling-based and we will fill in the position as soon
as a suitable candidate is identified. If you are interested, please get in
touch with me on yunpe…@surrey.ac.uk <http://yunpeng.li@surrey.ac.uk/> including
copies of your CV and transcripts before you apply for the position.
 
Applications should be submitted via the University of Surrey Computer
Science PhD programme
<https://www.surrey.ac.uk/postgraduate/computer-science-phd>page on the
“Apply” tab. Please clearly state the studentship title “Machine learning
meets sequential Monte Carlo” and supervisors “Dr Yunpeng Li and Prof Wenwu
Wang” on your application.