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Data Science PhD Research Projects
We have 367 Data Science PhD Research Projects
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PhD Candidate Artificial Intelligence (AI) for Cutaneous Lymphoma
PhD Candidate Artificial Intelligence (AI) for Cutaneous Lymphoma. Job number. D.23.MV.MR.03. Closing date:26-02-2023. The position. Read more
SAVE (Smartness Against Violence in Environments) - Developing smart urban environments to fight violent knife crimes
Despite the alarmingly increasing number of knife-operated incidents reported to occur in urban public spaces globally, the knowledge gaps are identified in perceptions of knife crime as a different type of crime. Read more
Epicardial adipose tissue as a mediator of cardiac arrhythmias
Imperial College London
British Heart Foundation - Imperial Centre for Translational and Experimental Medicine (ICTEM)
British Heart Foundation and National Heart and Lung Institute (NHLI). 4-year MRes/PhD Studentship, within the BHF doctoral training programme at Imperial College London. Read more
Characterising the effect of environmental cues on male reproductive cell response using hydrogels for the development of accurate preclinical models
Project Title. Characterising the effect of environmental cues on male reproductive cell response using hydrogels for the development of accurate preclinical models. Read more
Last chance to apply
Financing the economic loss of multi-crop production from climate risk: a public-private insurance solution for food security
Project reference number. GCUL-2023-002. Climate risk negatively impact the food security both nationally and internationally (Wang et al, 2022). Read more
Spatial and temporal patterns in baleen whale density estimated using Ocean Bottom Seismometers and other large-scale opportunistic acoustic datasets
Research Group:
Scottish Oceans Institute
Uniting the disciplines of biology and statistics can help us to better understand and ultimately conserve the environment. For example, monitoring the abundance of animal populations over time is important for effective conservation and management. Read more
Modelling low-mass star-forming galaxies
We can analyse galaxies individually or as a population. Focusing on the latter allows us to empirically track galaxy evolution since, if we measure demographics of galaxy populations at different distances, we are viewing the universe at different epochs. Read more
Using neural networks and clustering algorithms to understand the mass flows and energy cycles at the heart of our Galaxy
The inner few thousand light years of the Milky Way – the Central Molecular Zone (CMZ) – hosts the nearest supermassive black hole, largest reservoir of dense gas, most massive/dense stellar clusters, and highest volume density of supernovae in the Galaxy. Read more
How do supermassive black holes affect their host galaxies?
Supermassive black holes are capable of injecting vast amounts of energy into their surroundings via relativistic jets and radiation-driven winds. Read more
Structural Health Monitoring for Maintaining Aging Civil Infrastructure
EPSRC DTP CASE studentship in Engineering with MISTRAS Group Ltd. Lead supervisor Dr Matthew Pearson. Duration 4 years full time 7 years part time. Read more
Integrating Sub-symbolic and Symbolic Reasoning for Value Alignment
An important long-term concern regarding the ethical impact of AI is the so called ‘value alignment problem’; that is, how to ensure that the decisions of autonomous AIs are aligned with human values. Read more
Learning and deploying safe and trustworthy models of data provenance
Our modern lives are increasingly governed by ubiquitous AI systems and an abundance of digital data. More and more products and services are providing us with better tools and recommendations for our professional, personal, and entertainment activities. Read more
Generative modelling with neural probabilistic circuits
The current state of the art in generative modelling is dominated by neural networks. Despite their impressive performance on many benchmark tasks, these algorithms do not provide tractable inference for common and important queries, e.g. Read more
PhD Scholarship in Artificial Intelligence for Computational Imaging
The Biomedical and Astronomical Signal Processing group (. BASP. ) at Heriot-Watt University Edinburgh (. HWU. ), headed by Professor Yves Wiaux, jointly with Edinburgh's prestigious Centre for Doctoral Training on Mathematical Modelling, Analysis and Computation. Read more
Last chance to apply
PhD studentship in Applied Mathematics: Optimising stem cell therapies for corneal damage: insights from multiscale mathematical modelling harnessing artificial intelligence
Overview. Optimising stem cell therapies for corneal damage. insights from multiscale mathematical modelling harnessing artificial intelligence. Read more