Novel semi-supervised Bayesian learning to rapidly screen new oligonucleotide drugs for impurities.
This is an exciting opportunity to join Compass’ 4-year programme with integrated training in the statistical and computational techniques of Data Science. You will be part of a dynamic cohort of PhD researchers hosted in the historic Fry Building, which has recently undergone a £35 million refurbishment as the new home for Bristol’s School of Mathematics.
This fully-funded 4 year studentship covers:
- tuition fees at UK rate
- tax-free stipend of up £19,609 per year for living expenses and
- equipment and travel allowance to support research related activities.
This opportunity is open to UK, EU, and international students. (more…)
We are excited to share Dr Daniel Lawson’s (Compass CDT Co-Director) latest video where he will tell you about the Data Science behind Bristol’s COVID Modelling.
To acknowledge the variety of sectors where data science research is relevant, in March 2021, the Compass students are undertaking a series of workshops led by the Bristol Doctoral College to explore Skills for Interdisciplinary Research. Using the Vitae framework for researcher development, our colleague at BDC will introduce Compass students to the following topics:
Workshop 1: What is a doctorate? A brief history of doctorates in the UK, how they have changed in the past two decades, why CDTs?, what skills are needed now for a doctorate?
Workshop 2: Interdisciplinarity – the foundations. A practical case study on interdisciplinary postgraduate research at Bristol.
Workshop 3: Ways of knowing, part 1 – Positivism and ‘ologies! Deconstructing some of the terminology around knowledge and how we know what we know. Underpinning assumption – to know your own discipline, you need to step outside of it and see it as others do.
Workshop 4: Ways of knowing, part 2 – Social constructionism and qualitative approaches to research. In part 1 of ways of knowing, the ideal ‘science’ approach is objective and the researcher is detached from the subject of study; looking at other approaches where the role of research is integral to the research.
Workshop 5: Becoming a good researcher – research integrity and doctoral students. A look at how dilemmas in research can show us how research integrity is not just a case of right or wrong.
Workshop 6: Getting started with academic publishing. An introduction on the scholarly publishing pressure in contemporary research and it explores what that means in an interdisciplinary context.
This month, the Cohort 2 Compass students have started work on their mini projects and are establishing the direction of their own research within the CDT.
Supervised by the Institute for Statistical Science:
Anthony Stevenson will be working with Robert Allison on a project entitled Fast Bayesian Inference at Extreme Scale. This project is in partnership with IBM Research.
Conor Crilly will be working with Oliver Johnson on a project entitled Statistical models for forecasting reliability. This project is in partnership with AWE.
Euan Enticott will be working with Matteo Fasiolo and Nick Whiteley on a project entitled Scalable Additive Models for Forecasting Electricity Demand and Renewable Production. This project is in partnership with EDF.
Annie Gray will be working with Patrick Rubin-Delanchy and Nick Whiteley on a project entitled Exploratory data analysis of graph embeddings: exploiting manifold structure.
Ed Davis will be working with Dan Lawson and Patrick Rubin-Delanchy on a project entitled Graph embedding: time and space. This project is in partnership with LV Insurance.
Conor Newton will be working with Henry Reeve and Ayalvadi Ganesh on a project entitled Decentralised sequential decision making and learning.
The following projects are supervised in collaboration with the Institute for Statistical Science (IfSS) and our other internal partners at the University of Bristol:
Dan Ward will be working with Matteo Fasiolo (IfSS) and Mark Beaumont from the School of Biological Sciences on a project entitled Agent-based model calibration via regression-based synthetic likelihood. This project is in partnership with Improbable
Georgie Mansell will be working with Haeran Cho (IfSS) and Andrew Dowsey from the School of Population Health Sciences and Bristol Veterinary School on a project entitled Statistical learning of quantitative data at scale to redefine biomarker discovery. This project is in partnership with Sciex.
Shannon Williams will be working with Anthony Lee (IfSS) and Jeremy Phillips from the School of Earth Sciences on a project entitled Use and Comparison of Stochastic Simulations and Weather Patterns in probabilistic volcanic ash hazard assessments.
Sam Stockman will be working with Dan Lawson (IfSS) and Maximillian Werner from the School of Geographical Sciences on a project entitled Machine Learning and Point Processes for Insights into Earthquakes and Volcanoes