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bayesian PhD Projects, Programs & Scholarships

We have 44 bayesian PhD Projects, Programs & Scholarships

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  EPSRC/IBM INDUSTRIAL CASE PhD Studentship in Data-Driven Optimization: Tuning Bayesian Optimization for Problems with Dynamic Resource Constraints
  Dr R Allmendinger
Application Deadline: 17 April 2020

Funding Type

PhD Type

A full-time PhD research studentship, including full stipend and tuition fee costs, is available for 4 years starting September 2020.
  Research Assistant in Bayesian Statistics applied to Decision Making/Behavioural Economics/Development Economics
  Prof F Vieider
Applications accepted all year round

Funding Type

PhD Type

The Economics Department at Ghent University (Belgium) has an open position for a research assistant applying Bayesian statistical methods to research questions at the intersection of decision making, behavioural economics, and development economics.
  Bayesian Uncertainty Quantification for Clustering Problems
  Research Group: Statistics
  Dr W Yoo, Dr S Liverani
Applications accepted all year round

Funding Type

PhD Type

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2020 for students seeking funding, or in January 2020 or April 2020 for self-funded students.
  Bayesian Deep Learning for High Voltage Condition Monitoring
  Dr G Morison, Dr A Nesbitt
Applications accepted all year round

Funding Type

PhD Type

SCEBE-19-012. To ensure the power system operates safely and reliably, it is essential to monitor and evaluate the health condition of power equipment.
  Mathematics for large-scale inference algorithms in Bayesian demographic analysis
  Prof D Bryant
Applications accepted all year round

Funding Type

PhD Type

This project is part of a major research programme tackling one of the major open challenges in data science. how to merge existing machine learning (ML) tools, which are fast but fallible, with Bayesian approaches, which are the gold standard but computationally unobtainable.
  Approximate Bayesian methods for large scale imaging problems (EPS2020/41)
  Dr Y Altmann
Application Deadline: 28 February 2020

Funding Type

PhD Type

This project consists of investigating new approximate Bayesian methods for fast and robust estimation in high dimensional problem.
  A Model-driven Bayesian Approach for Probabilistic Analysis of Cyber Physical Systems
  Dr S Kabir
Applications accepted all year round

Funding Type

PhD Type

Modern cyber-physical systems are made more sophisticated and fault-tolerant by including new functionality and capabilities into them.
  Bayesian identifiability for log-linear models.
  Research Group: Division of Statistics
  Dr M Papathomas
Applications accepted all year round

Funding Type

PhD Type

Log-linear modelling is the standard approach for investigating the full joint dependence structure between categorical variables such as phenotypes and SNPs.
  Bayesian Methods for Stochastic Epidemic Models
  Dr C Wen, Dr C Ling, Dr J Li
Applications accepted all year round

Funding Type

PhD Type

This project employs Bayesian methods to build reliable stochastic models to fit partially observed data for the endemic infectious diseases and hence to assist understanding the transmission scheme of the epidemics.
  Bayesian Spatiotemporal Regression for Landscape Ecology
  Prof K Yu
Applications accepted all year round

Funding Type

PhD Type

Landscapes are the result of numerous processes and factors that operate and interact across different spatial and temporal scales.
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