You will work on research to be carried out as part of the new Centre on Topological Data Analysis funded by the E.P.S.R.C grant Application-driven Topological Data Analysis (EP/R018472/1, jointly with the Universities of Oxford and Swansea). The research will take place under the direction of Dr Vitaliy Kurlin within the Department of Computer Science and the Materials Innovation Factory at the University of Liverpool.
The other co-Investigators at Liverpool are Professor Andy Cooper, Paul Spirakis and Igor Potapov. The project will involve significant collaboration across a range of universities (for example, Oxford and Swansea), disciplines (Computational Geometry, Materials Chemistry) and industrial partners (Unilever, CCDC, STFC).
The research will involve developing, extending and applying tools related to Topological Data Analysis. Though the expected background of an ideal candidate is Computer Science or Mathematics or Statistics, your communication skills and ability to learn quickly will be important for our collaboration with chemists.
There are a variety of work streams, though some typical research tasks may involve any of the following.
· Designing geometric invariants (features) that form a unique identifier of any periodic crystal structure.
· Learning features of periodic crystal structures from available datasets of crystalline materials.
· Implementing tools to visualize shapes of large datasets, e.g. the Cambridge Structural Database.
· Predicting new materials with desired properties, e.g. superconducting, gas storage capacity.
· Characterizing geometric configurations of particles and classifying phases of colloidal liquids.
· Improving skeletonization methods for unstructured point clouds to recognise shapes of micelles.
The essential requirements are the experience in computer programming (e.g. C++, Python, Java, Matlab, R) and excellent verbal and written communication skills. The desirable requirements are the experience of team work or supervision of research students, and published research in Mathematics, Statistics, or applied areas such as Machine Learning, Computer Vision/Graphics, Computational Chemistry. The post is available for 5 years.