We are always eager to discuss applications for postdoctoral fellowships and are particularly interested in candidates with backgrounds in Epigenetics, Computational Biology, or Machine Learning. Below is a curated list of relevant opportunities. This list is not exhaustive, so we highly encourage those who have identified other suitable funding sources to get in touch with us!
For those specifically interested in Machine Learning, the lab welcomes applications for HFSP Cross-disciplinary fellowships. This programme supports proposals for frontier, potentially transformative research in the life sciences, and is targeted at researchers who hold a doctoral degree from a non-biological discipline. Applications for high-risk projects are particularly encouraged.
We are also keen to hear from people interested in the Chapman-Schmidt AI in Science Fellowships. These fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering.
There are a number of sources for PhD scholarships at Imperial:
If you are interested in applying for these programmes then contact Nathan to discuss your application.
Get in touch about potential projects. We frequently take students from the MRes Experimental Neuroscience and MSc Translational Neuroscience programmes at Imperial College. We’re also happy to speak to students from other programmes at Imperial.
Whether you are at Imperial or not, if you have strong quantitative / computing skills then we will consider supervising remote projects: contact us if you wish to discuss potential projects.