Are you interested in bringing the latest data-driven approaches to interdisciplinary topics like Robotics, Neuroscience, Healthcare, and beyond? Welcome to the second cohort of the Doctoral Training Environment (DTE) in Data-Driven Engineering and Sciences at the University of Bristol, UK.
We have 8 fully-funded PhD studentships (around £28k take-home pay) that include a year of team-based training and leadership development. In return, you’ll be helping to support our Data Science and other MSc students so an interest in teaching is essential.
Last year we recruited two students from the Julia community (and persuaded some of the other students to try Julia), so it would be great to continue that trend!
Since it’s probably not obvious without reading quite a bit of text, the general rules of the PhD projects under this programme is that they must encompass two out of three of the following aspects:
Applied Mathematics
Machine Learning / Artificial Intelligence / Data Science
An application area covered by the School of Engineering Mathematics and Technology, e.g., robotics, synthetic/engineering biology, digital health, transport and mobility, renewable energy, … and many others
PhD research projects are decided during the first year of study not at the point of entry. See the website for more details.
Nice, I would love to hop in and help build, does prior publications are a must? I have relevant research software engineering and machine learning experience in Julia via Google summer of codes (twice) and Princeton affiliated research projects.
There will be one 2 year long postdoc position advertised in January, we just need to get the paperwork done for the advert to go live. This is at the same School of Eng Maths and Technology in Bristol. One of the tasks is to work on this Julia package GitHub - rsnumerics/InvariantModels.jl: Software for data-driven model identication I’ll post the details when its online.
