EPSRC funded PhD opportunity on Ontology models for autonomous formulations
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Valentina Tamma
Aug 29, 2021, 4:30:29 AM8/29/21
to ontol...@googlegroups.com, Valentina Tamma
Fully funded PhD opportunity to investigate knowledge based approaches to support autonomous formulation through computational simulations. Application deadline September 6
“Autonomous Formulation” refers to the use of autonomous software or robots to determine the composition and recipe of mass-market products (e.g. shampoo). Exploring the space of possible formulations is a complex problem that poses several challenges for material scientists; however this complexity can be offset by using computational experiments that can, to some extent, predict behaviours and characteristics. These experiments are typically workflow-centric and data-rich and pose new challenges to guarantee reproducibility. Indeed, typical data-driven tasks coordinate and orchestrate computational tasks according to a workflow description, which however is not sufficient to capture all the data and meta-data necessary for understanding the full context of an experiment. Ontologies have proved successful in representing, understanding, sharing and reusing research data, methods and metadata in computational experiments.
Recently, ontology-based models have been proposed to support the structuring, sharing, reusing and preservation of scientific assets and their annotations related to a computational experiment.
The objective of this PhD is to adapt and extend ontology-based models to effectively support computational simulations of formulations. This architecture will allow the use of machine learning techniques to optimise specific formulation profiles with the aim to:
1) Reduce the time needed to set up and execute formulation experiments;
2) Support the autonomous determination of the formulations, thus increasing the number of experimental runs;
3) Preserve experimental configurations and the associated meta-data, therefore providing explicit benchmarking for new formulations.
The successful applicant will work as part of a team of computer scientists, roboticists, and computational chemists to achieve the project vision. The project is open-ended and concept driven.
We are seeking creative and energetic individuals from a range of backgrounds. We require a 1st or 2:1 at first degree level and/or or a Master’s degree level or equivalent to apply. Typical degree subjects include (but are not limited to) Computer Science, Chemistry, or Materials Science, particularly those with skills directly related to this project. We also welcome those who have significant relevant work experience.
Further details available at: https://www.liverpool.ac.uk/study/postgraduate-research/studentships/ontology-models/
_______________________________________________________
Dr Valentina Tamma (she / her / hers)
Department of Computer Science | http://www.csc.liv.ac.uk/~valli
University of Liverpool | tel. +44-151-795 4246
Ashton Building | fax +44-151-795 4235
Liverpool, L69 3BX, UK | email: V.T...@liverpool.ac.uk
| skype: valentinatamma
“Autonomous Formulation” refers to the use of autonomous software or robots to determine the composition and recipe of mass-market products (e.g. shampoo). Exploring the space of possible formulations is a complex problem that poses several challenges for material scientists; however this complexity can be offset by using computational experiments that can, to some extent, predict behaviours and characteristics. These experiments are typically workflow-centric and data-rich and pose new challenges to guarantee reproducibility. Indeed, typical data-driven tasks coordinate and orchestrate computational tasks according to a workflow description, which however is not sufficient to capture all the data and meta-data necessary for understanding the full context of an experiment. Ontologies have proved successful in representing, understanding, sharing and reusing research data, methods and metadata in computational experiments.
Recently, ontology-based models have been proposed to support the structuring, sharing, reusing and preservation of scientific assets and their annotations related to a computational experiment.
The objective of this PhD is to adapt and extend ontology-based models to effectively support computational simulations of formulations. This architecture will allow the use of machine learning techniques to optimise specific formulation profiles with the aim to:
1) Reduce the time needed to set up and execute formulation experiments;
2) Support the autonomous determination of the formulations, thus increasing the number of experimental runs;
3) Preserve experimental configurations and the associated meta-data, therefore providing explicit benchmarking for new formulations.
The successful applicant will work as part of a team of computer scientists, roboticists, and computational chemists to achieve the project vision. The project is open-ended and concept driven.
We are seeking creative and energetic individuals from a range of backgrounds. We require a 1st or 2:1 at first degree level and/or or a Master’s degree level or equivalent to apply. Typical degree subjects include (but are not limited to) Computer Science, Chemistry, or Materials Science, particularly those with skills directly related to this project. We also welcome those who have significant relevant work experience.
Further details available at: https://www.liverpool.ac.uk/study/postgraduate-research/studentships/ontology-models/
_______________________________________________________
Dr Valentina Tamma (she / her / hers)
Department of Computer Science | http://www.csc.liv.ac.uk/~valli
University of Liverpool | tel. +44-151-795 4246
Ashton Building | fax +44-151-795 4235
Liverpool, L69 3BX, UK | email: V.T...@liverpool.ac.uk
| skype: valentinatamma
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