Several PhD opportunities are available in our Scalable Scientific Machine Learning Lab at Imperial College London. These projects are eligible for Imperial PhD scholarships (open to both home and overseas students, with application deadlines between Nov–Jan).
Current topics include:
🔬 Multi-scale simulation with physics-informed neural networks
🧠 Brain ultrasound imaging with diffusion-guided full-waveform inversion
🌍 Learning fast and generalizable climate models with neural differential equations
🌀 Learning dynamics on manifolds with neural geodesic flows
I also welcome new project proposals related to scientific machine learning.
Full details and how to apply here.
We’re hiring PhD students!
—
by
More news
-
We’re hiring PhD students!
Several PhD opportunities are available in our Scalable Scientific Machine Learning Lab at Imperial College London. These projects are eligible for Imperial PhD scholarships (open… Read more →
-
Ardan Suphi visits University of Bern
One of our PhD students, Ardan Suphi, will be visiting the University of Bern to collaborate on improving multispectral imaging of Mars using SciML. He… Read more →
-
Dr. Ben Moseley joins editorial board of new ACM journal on AI for science
We’re excited to share that Dr. Ben Moseley has joined the editorial board of the new ACM Transactions on AI for Science (TAIS) as an… Read more →
-
New SciML lab at Imperial College London!
We are very excited to announce the formation of our new research group, the Scalable Scientific Machine Learning Lab. The group is led by Dr.… Read more →
-
Dr. Ben Moseley joins Imperial
Dr. Ben Moseley will be joining Imperial College London as a Lecturer in AI at the Department of Earth Science and Engineering. He will hold… Read more →