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bayesian PhD Projects, Programs & Scholarships
We have 76 bayesian PhD Projects, Programs & Scholarships
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Bayesian machine learning for cause-and-effect structural network discovery
Are you interested in the theory of causality? Do you want to improve the algorithms we use to discover cause-and-effect and conditional relationships from data, or apply them to a real-world problem of your interest such as healthcare?. Read more
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Sequential Bayesian inference in complex and realistic dynamical systems
This PhD position will be at the interesting overlap between computational statistics, Bayesian analysis, statistical signal processing, and machine learning, motivated by applications that aim to improve human life and environment. Read more
Advancing Non-reversibility in Bayesian Networks for Time Series Prediction
Research Group:
Visual Computing
About the Project. Bayesian Sampling has been very well studied in the literature for investigating various complex time series and regression analysis problems up to date. Read more
Detecting prevalent clusters of Multimorbidity with uncertainty evaluation using Bayesian Mixture Modelling and subsampling
Research Group:
Statistical Medicine and Molecular Biology
Multimorbidity is the presence of at least two diseases in an individual. MM is one of the major challenges faced by health systems across the world. Read more
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Efficient Bayesian HMC sampling for inferring evolutionary timescales using large genome datasets
We are seeking applicants for the following PhD opportunity. The successful applicant will join a. student cohort in Environment, Biodiversity and Genomics. Read more
Explainable artificial intelligence in Bayesian machine learning research and applications
Artificial intelligence (AI) has been successfully applied to various applications with the breakthrough of deep learning (DL) in recent years. Read more
Beyond Bayesian Machine Learning: Self-Learning Networks from Imaging Uncertainties
Research Group:
Visual Computing
About the Project. Deep Learning (DL) algorithms have attracted extensive attention specifically in the last decade in almost all signal processing research areas. Read more
UKRI iCASE IBM Studentship - Bayesian Methods For Climate Impact Uncertainty Quantification. PhD in Mathematics
Location. Department of Mathematics, Streatham Campus, Devon, University of Exeter. Project Description. Read more
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Bayesian spatial modelling for biodiversity
Research Group:
Statistics and Data Analysis
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2022. Read more
Probabilistic modelling and Bayesian machine learning
I am looking for a doctoral student to join my new Manchester group to work on new probabilistic models and inference techniques. Read more
Bayesian identifiability for log-linear models.
Research Group:
Division of Statistics
Log-linear modelling is the standard approach for investigating the full joint dependence structure between categorical variables. Read more
AI algorithms for precision computational imaging: from deep learning, optimisation, and Bayesian inference theories, to applications in astronomy and medicine (EPS2022/58)
The Biomedical and Astronomical Signal Processing group (. BASP. ) at Heriot-Watt University Edinburgh (. HWU. ), headed by Professor Yves Wiaux, is recruiting multiple PhD students for research on “AI algorithms for precision computational imaging”. Read more
A Model-driven Bayesian Approach for Probabilistic Analysis of Cyber Physical Systems
Modern cyber-physical systems are made more sophisticated and fault-tolerant by including new functionality and capabilities into them. Read more
Sequential Monte Carlo Methods for Bayesian Inference in Complex Systems
This project will focus on the development of Bayesian inference methods such as sequential Markov Chain Monte Carlo (MCMC) methods for filtering and smoothing of states and parameters of complex nonlinear systems. Read more
Improving the acquisition and processing of single-photon data (EPS2022/57)
Recent technological innovations, eg detection and acquisition hardware, have pushed sparse-photon imaging to the fore in a variety of applications including 3D Lidar imaging and microscopy. 3D Lidar imaging consists in sending laser pulses to a target and capturing the returned photons after reflection from the target. Read more