Centre for Data Science
Loughborough University is building an exciting new Centre for Data Science which will have 11 academic staff (2 Professors, 1 Senior Lecturer and 8 Lecturers) who will be based in the School of Science and will complement existing staff expertise. The Centre will be the focus for research on Modelling and Data Analytics across the campus. The specific objectives include:
- to bring together and expand the critical mass we have in this area;
- to help connect the expertise that we have in complementary areas;
- to ensure we are able to form teams to respond to and address big challenges;
- to underpin a significant body of work that takes place in the University Research Challenges;
- to engage with industrial and other outside agencies to secure funding and provide direction for the research and enterprise activities.
Staff in the Centre for Data Science will be engaged with Loughborough University’s six Research Challenges, http://www.lboro.ac.uk/research/challenges/. These encompass key societal challenges and areas where Loughborough University has significant strengths. The Research Challenges provide an excellent opportunity to collaborate with world leading scientists and engineers.
Loughborough has invested very heavily in recent years in equipment and has excellent experimental and computational facilities: some highlights can be found at https://equipment.lboro.ac.uk. Loughborough University also has excellent high performance computing facilities with both its own 2,000-core University machine, as well as being host to the HPC Midlands Regional Facility with an additional 3,000 cores.
We are creating a multi-disciplinary team by having Academic staff in the areas of Applied Mathematics (Mathematical and Computational Modelling), Computer Networks, Artificial Intelligence (Machine Learning and Pattern Recognition), Applied Statistics and Elemental Mass Spectrometry for Personalised Healthcare to work in the Departments of Computer Science, Mathematical Sciences and Chemistry. The Academic staff will carry out applied research and collaborate with other Schools and organisations. The staff will also contribute to the teaching within the School and specifically within the areas of applied mathematics, mathematics for engineers, internet computing (protocol design and security), artificial intelligence, statistics and analytical science and chemistry. The Academic staff specialising in the area of Applied Statistics will also support the Schools commitment to the Statistics Advisory Service, which supports researchers across the University in statistical analysis.