University of Southern Denmark
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We have 57 transfer learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
transfer learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 57 transfer learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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Semi-Supervised, Unsupervised, and Self-Supervised Transfer Learning for Computer Vision
Transfer learning has been demonstrated to improve the generalisation of deep neural networks to real-world applications, especially in situations where labelled training sets are missing. Read more
Transfer Learning for Engineering Systems
Applications are invited for a Ph.D. degree in the area of Transfer Learning and its optimal application in engineering systems for fault diagnosis and prognosis. Read more
Physics-informed transfer learning for engineering asset management
Overview. This research aims to develop a physics-informed transfer learning model for engineering asset management, by effectively incorporating domain knowledge of experts/engineers into the machine learning model to improve its explainability. Read more
Machine learning techniques for 6G wireless networks
Due to spectrum scarcity, efficient use of spectrum such as advanced resource allocation techniques and spatial diversity techniques including massive MIMO has attracted huge interests recently and formed an important part of 5G wireless network design. Read more
Continual Learning in Meta-Heuristic Combintatorial Optimisation
Combinatorial problems are ubiquitous across many sectors. In a typical scenario, instances arrive in a continual stream and a solution needs to be quickly produced. Read more
Image-based plant analysis for sustainable agriculture
Image-based plant phenotyping concerns the quantification of non-distructive plant traits (e.g. leaf area, number, colour). Read more
PhD Position in Adaptive Deep Learning for Speech and Language
The Liveperson Centre for Speech and Language offers a 3 year fully funded PhD studentship covering standard maintenance, fees and travel support, to work on deep neural network adaptive learning modules for speech and language. Read more
Last chance to apply
Communication and blended-learning: Language and social cues in different learning contexts across educational stages.
Research is a key priority for the School of Psychology. We collaborate with academics across the world. According to the most recent Research Excellence Framework, 96% of LJMU's psychology, psychiatry and neuroscience research is considered world-leading or internationally important. Read more
Model of Energy Demand and Carbon Reduction for Control of Energy Storage
The techniques of Control Theory, Artificial Intelligence and Statistical Data Analysis have been applied to engineering systems with great success, and the resulting is better energy efficiency using storage. Read more
Engineering Networked Machine Learning via Meta-Free Energy Minimisation
Inspired by neuroscience, informed by information-theoretic principles, and motivated by modern wireless systems architectures integrating artificial intelligence (AI) and communications, this project sets out to develop a paradigm-shifting framework for networked machine learning (ML) that is centred on the following ideas. Read more
PhD Positions at SDU Center for Energy Informatics
The SDU Center for Energy Informatics is currently seeking highly qualified and motivated individuals for several open PhD positions. 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
Deep learning of deformable object manipulation on manufacturing robots
Background. Current robots in manufacturing settings are not able to adapt to variations introduced by collaborating humans or other factors in the environment. Read more
Reducing Environmental Risks in Mining Using Machine Learning and Data Fusion to Improve Tailings Analysis
The University of Manchester
Faculty of Humanities Doctoral Academy, Alliance Manchester Business School
Mining produces tailings which are rejects or resultant waste stream after performing the process of separating valuable fraction from the uneconomic fraction of an ore. Read more
EPSRC/BAE Systems INDUSTRIAL CASE PhD Studentship: Mitigation of Reinforcement Learning Algorithms in Changing Environments
The University of Manchester
Faculty of Humanities Doctoral Academy, Alliance Manchester Business School
The development of (deep) Reinforcement Learning (RL) algorithms to train agents within game environments is well known. Agent training is typically conducted against a known, simplified, or constrained environment. Read more