Working with me in Glasgow or Remotely
My research focuses on the intersection of machine learning, knowledge graph, graph neural networks and natural language processing, with a current emphasis on the biomedical applications and healthcare technologies. I’m always looking for students & researchers working with me on these topics.
I will be taking 1-2 PhD students working on biomedical knowledge graphs, GNN, NLP and prompt engineering.
Before applying, you will need to put together a research proposal. It is a process for me to assess whether you can understand a research area, write about thoughts and your research questions/objectives in this area in a sensible way. It is not a commitment to what you will work on during your PhD. Most often PhD topics crystallise over the first year.
For the PhD application process, please read this to understand the application process. Note that in the UK you will need always pay substantially tuition fees for international students versus UK students, but the cost of living in Glasgow is 33% cheaper than in London. However, we have various Scholarship available, including the College Scholarship, the China Scholarship Council (CSC) and the Excellence Bursary (which covers part your fees). Please contact me for some advices before applying.
I am also looking for highly-motivated BSc/MSc students (even you are not from the University of Glasgow, and remotely) to work with me on various exciting area of machine learning, knowledge graph, graph neural networks and natural language processing. Your project can be either a system or research-oriented, but you should expect to spend at least 12 weeks to complete your project with at least 20 hours/week on this project.
For system projects, you will be only focusing some topics that are related to the biomedical applications and healthcare technologies.
For research projects, you can choose (or discuss with me to confirm) your project on areas of machine learning, knowledge graph, graph neural networks and natural language processing. However, you will need to have basic research skills, including machine learning, data science, python programming (such as Numpy, Matplotlib, PyTorch, Pandas, Scikit-Learn, etc.).