Introduction
This month we welcomed our first ever doctoral students to the Institute.
More than 35 students, who are either undertaking a full doctorate at the Turing or taking an ‘enrichment’ year in a mid-point during their PhD, are conducting research across a broad range of academic disciplines central to data science, ranging from machine learning, statistics and algorithms, to ethics, privacy and security.
Researchers networking in The Alan Turing Institute headquarters.
New student Daniel Wilson-Nunn, who is conducting research into statistics about ‘Rough Path Theory’, explained “The Turing’s brand new research facility is conducive to open discussion and collaboration, with great opportunities for networking and enhancing one’s knowledge opportunities.”
Enrichment student Bingyu Zhao, who is spending one year of her PhD at the Turing in between her study at Cambridge into transport infrastructures commented “it’s such an honour to be among the first cohort of enrichment students. I feel truly being enriched by the knowledge, the diversity and the openness that are inherent in the Institute”.
The students will undertake training in a range of topics central to data science, for example machine learning, visualisation and programming tools and techniques, as well as practical sessions on topics such as entrepreneurship and how to do research. As they take place, these data science ‘masterclasses’ are open to view on the Institute’s YouTube Channel.
Join us in 2017
Following on from the successful induction of 2016 students, applications for 2017 doctoral students are now open. Further information about the Turing’s Doctoral Studentship scheme, including eligibility criteria can be found on our 2017 Doctoral Studentships page.
We welcome applications from all researchers keen to support our mission to advance the world-changing potential of data science.
For more information:
Email [email protected]
Conclusion
