Our academic partners want to ensure that their work is impactful in society. They often do this by having their PhD students work on applied projects in industrial settings. Elsevier’s studentship program supports PhD students as they work with Elsevier staff and data on relevant, real life challenges.
Oxford’s Centres for Doctoral Training (CDTs) help PhD students match up with industry partners in applied projects. We’re delighted to be sponsoring PhD students at three of Oxford’s CDTs: Health Data Science, Systems Approaches in Biomedical Science and Industrially Focussed Mathematical Modeling. Seven students across these programs are helping us to research solutions in areas like disease prediction, network modeling and data reproducibility.
Organic synthesis of compounds can be highly wasteful and time consuming. Professor Alexei Lapkin’s lab at the Cambridge SynTech CDT uses advanced AI/ML modeling to reduce waste and toxicity in chemical supply chains. We’re sponsoring a PhD student in the lab to better understand how modeling can transform organic synthesis.
Big data can present challenges when it comes to understanding facts and drawing conclusions. Via our long-running collaboration at UCL’s Big Data Institute, and with other labs in data science, we’re now delighted to be sponsoring three PhD students in areas of data representation and natural language processing.
Do key influences have an effect on science, scholarship and innovation? Our University of Southampton studentship is with Professor Les Carr at the Centre for Doctoral Training in Web Science Innovation. There we’re looking at how the structure of a large-scale knowledge interaction changes over time and influences the changing shape of scientific research.
Online, researchers want to find what they’re looking for easily. Our hope is to make that easier. At the Statistics and Operational Research (STOR-i) CDT at the University of Lancaster, PhD student George Bolt is looking into developing and applying methods from network analysis to help us make sense of our high dimensional complex usage data. Read more about his work in this article.
Dr. Simón Lunagómez (right) and Elsevier Data Science Manager Dr. Harriet Muncey (left) with Univ. Lancaster PhD student George Bolt (center)