Location: Trinity College Dublin
Level: Post-Doctoral Researcher
HUMAN+ Fellowship Programme
Up to 9 prestigious Marie Sklodowska-Curie Fellowship Positions available
- Living Allowance: €42,061.36
- Mobility Allowance: €6,483.57
- Family Allowance (if applicable*): €5,402.97
Contract Duration: 2 years
Application Deadline: 12th of March 2021
*Family allowance is subject to eligibility, more details available at www.humanplus.ie
Description of the role
HUMAN+ is an international and interdisciplinary fellowship programme jointly led by ADAPT, the Science Foundation Ireland Centre for Digital Media Technology & AI and the Trinity Long Room Hub at Trinity College Dublin. The programme is supported by the prestigious European Commission (EC) Horizon 2020 Marie Skłodowska-Curie COFUND Action.
HUMAN+ will connect computer science researchers with arts and humanities researchers and enterprise to forge a human-centric approach to technology development allowing for interdisciplinary research, integrating insights from the arts, humanities and computer sciences as well as enterprise.
We want to recruit 9 experienced researchers from a Computer Science and Engineering background for a 2-year post-doctoral programme and unique research and training space that focuses on the development of computing technology with insights informed by the Arts and Humanities.
Successful researchers will work with ADAPT’s renowned Principal Investigators such as Professor Declan O’Sullivan on Enhancing scholarly research in the humanities using knowledge graph technology.
With the ever-increasing availability of data in distributed locations and from diverse sources, the deployment of Knowledge Graphs (KG) for integration and exploration to support: scholarly research in the humanities area or business users in enterprises is inevitable. The Fellow will identify, propose, and develop domain-specific requirements for creating, engaging with, and interrogating knowledge graphs from a non-computer scientist’s perspective. A knowledge graph (KG) is usually defined as a set of interconnected typed entities and their attributes and relationships. The types and relations are provided by so called ontologies. KGs have been successfully adopted in many domains, both in academia and enterprise settings–enabling one to integrate heterogeneous data sources to facilitate research, business analytics, fraud detection, and so on. With Linked Data, entities across different datasets are related using Web standards. While KGs are typically developed in a multidisciplinary manner, the creation and consumption of these KGs often rely on computer science practitioners. The uptake of KG technologies is hampered in both enterprises and academic/ cultural institutions alike, by the lack of domain or task-specific tooling for subject matter experts. The research challenge is to enable the further mainstreaming of KGs by providing adequate support for subject matter experts themselves as drivers and users of KGs.Generalized requirements for domain specific methods, techniques, and tools for both humanities and non-humanities subject matter experts (e.g. financial analysts) will be identified, and then demonstrated. Informed by the research areas of historians, the Fellow will apply their research in two distinct specialties in that discipline; medieval and modern history. The Fellow will collaborate closely with the Beyond 2022 project www. beyond2022.ie) which is already developing a KG to support humanities research. In parallel it is planned through the co-funding of an enterprise, to apply the proposed solution to a use case identified by the enterprise partner. The Fellow will thus identify, propose, and develop domain specific requirements for creating, engaging with, and interrogating knowledge graphs from a noncomputer scientist’s perspective. Research areas of the project include: knowledge engineering, human-computer interaction, and information in Web and database systems.
- Applicants must have a relevant background to the strand of the programme they wish to apply to: Computer Science & Engineering (Strand 2).
- Applicants may be of any nationality and must agree to the programme’s Terms & Conditions.
- Applicants must comply with the Transnational Mobility Rule: at the application deadline, applicants must NOT have resided or carried out their main activity (work, studies, etc.) in Ireland for more than 12 months in the 3 years immediately prior to the call deadline.
- Applicants must, at the time of the call deadline, be an Experienced Researcher, i.e. in possession of a doctoral degree or have at least four years of full-time equivalent (FTE) research experience. FTE research experience is measured from the date when a researcher obtained the degree which would formally entitle them to embark on a doctorate, either in the country in which the researcher is recruited or seconded, irrespective of whether or not a doctorate is or was ever envisaged.
- Applicants must be fluent in English (written and spoken).
- Applicants are required to produce evidence of genuine interdisciplinary experience or interest regarding the scope of the programme.
*Candidates should read the Guide for Applicants and Terms and Conditions available on the HUMAN+ website – www.humanplus.ie
Application Details: Application is via our website (www.humanplus.ie) using our application documents. The first step is to discuss your proposal with a possible Supervisor from Strand 2. For a full list of Supervisors and to reach out directly visit our Supervisors webpage (https://humanplus.ie/people/) or email the Project Manager at email@example.com who will be happy to direct you.