Project Background: In the CONFIRM research centre on Smart Manufacturing as well as in Industry 4.0 in general, a Digital Thread connects the data and processes for smarter products, smarter production, and smarter integrated ecosystems. While the tangible goods (products and production lines) are understood as needing a Digital Twin as an executable model, i.e. an in-silico entity on which to virtually explore design, production, quality, and lifetime maintenance, the immaterial goods like software and analytics artefacts are not yet treated on par.
For this new paradigm to enter mainstream, models need to be coupled with automatic transformations, generations, and analyses that take advantage of the formalized knowledge about the immaterial and material entities. This formalized knowledge includes a variety of models together with Domain Specific Languages that use semantic types at their core.
In this project, we build demonstrators of how the new thinking can disrupt the status quo but empower a better understanding, a more efficient organization, and a more automatic management of the many cross-dimensional issues that future connected software and systems will depend upon.
Research Summary: The objective of this specific work is to develop semantic data and feature representation models with comprehensive access policies that enable access control and security roles, within a Manufacturing Analytics Cockpit demonstrator.
The goal of the semantic layer and policies is to ensure that
A concrete objective is to transform data, knowledge and experience gathered from specific manufacturing sites into an adequate semantic layer for the Cockpit, and develop a collection of templates or archetypes of manufacturing conditions for use by CONFIRM participants at other sites.
Faculty Science & Engineering: CONFIRM Centre for Smart Manufacturing.
Entry Requirements: Essential attributes: Honours undergraduate (level 8) degree, Master’s degree, or equivalent, in a field related to the project, such as computer science or engineering.
We require persons with expertise in information modelling, use of models in software design, ability to program in Java or similar languages, and good interpersonal skills.
Knowledge of logic or knowledge representation formalisms and previous project experience are desirable skills.
Funding/Stipend: SFI PhD Stipend of €18,500 tax free per annum, EU tuition fees covered up to €5,500 p.a., non-EU students may have to pay balance of full fees.
Closing Date: Rolling deadline until position is filled.
Contact & How to apply: Please send your CV/Resume with the ID REF# C-PHD-25, transcript of records, and a cover letter in support of these requirements and including the name of 2 references with full contact information to firstname.lastname@example.org