Location: Trinity College Dublin
Level: Post-Doctoral Researcher

Duration: Specific Purpose 2-year contract
Department/School: ADAPT Centre / Trinity Health Kidney Centre
Reports to: Principal Investigators - Professors Mark Little and Declan O’Sullivan
Salary:(€38,632 - €44,657) on a point commensurate with experience
Closing Date: Until Filled
Full job description 

Post Summary

Applications are invited for a research fellow with specific knowledge engineering and data modelling skills to work on a collaborative project between the Trinity Health Kidney Centre (www.thkc.ie), the School of Computer Science and Statistics (https://www.scss.tcd.ie/) and the ADAPT research centre (www.adaptcentre.ie). This highly innovative project seeks to improve healthcare in the field of autoimmune disease by linking medical, statistical and healthcare information. The post-holder will be experienced in curation of unstructured data and use of resource description framework (RDF) modelling.

Background to the Post

The successful candidate will work with Professors Mark Little (www.tcd.ie/medicine/thkc/research/chronic.php), Declan O’Sullivan (https://www.tcd.ie/research/profiles/?profile=osulldps) and Lucy Hederman (https://www.scss.tcd.ie/Lucy.Hederman/). The project builds on prior work in the AVERT programme (https://www.tcd.ie/medicine/thkc/avert/) with the primary objective of building and maintaining a semantic web-based health research data integration engine. The proposed project leverages an extensive rare disease registry and biobank (www.tcd.ie/medicine/thkc/research/rare.php) to generate a longitudinal granular phenotype which we aim to link to biomarker, environmental and wearable device data streams.

Standard duties and responsibilities

The Research Fellow will:

  • Be responsible for the research and implementation of technical solutions to the project goals, in particular development and maintenance of RDF triplestore and query interface.
  • Produce top-quality journal and conference publications, in collaboration with other project members.
  • Identify and write proposals for additional research funding.
  • Participate in project activities, e.g. meetings, reviews and demonstrations.
  • Provide support and advice to collaborators and partners.
  • Contribute to teaching and supervision in the ADAPT Centre.
  • Engage in the dissemination of the results of the research.
  • Engage in appropriate training and development opportunities as required by the project, the School or Research Centre, or the University.
  • Liaise with both internal and external stakeholders including industry and academic partners/collaborators.
  • Carry out administrative work associated with the research as necessary.

Person Specification


  • PhD or equivalent in computer science or aligned field

Knowledge & Experience

  • Excellent Semantic Web, Linked Data and Knowledge Graph experience
  • Database management skills: NoSQL, Graphing Databases, SQL
  • Excellent knowledge of one or more of: Java, PHP, node.js
  • Excellent knowledge of scripting languages: Python, PHP, Bash, Perl, JavaScript, d3.js
  • Experience with data wrangling, data analysis, data engineering would be a distinct advantage
  • Knowledge of web application development and security


  • Competitive salary
  • Computer and peripherals of your choice
  • A fast-paced environment with impactful work
  • Pension
  • Day Nursery
  • Travel Pass Scheme
  • Bike to Work Scheme
  • Employee Assistance Programme
  • Sports Facilities
  • 22 days of Annual Leave
  • Paid Sick Leave
  • Training & Development
  • Staff Discounts

Application Procedure

Candidates should submit a cover letter together with a full curriculum vitae to include the names and contact details of 3 referees (email addresses if possible) via the following link: https://apply.adaptcentre.ie/apply.php?jobID=RF_Data_Engineering


Background​ ​on​ ​the​ ​ADAPT​ ​Centre

ADAPT, the world leading SFI Research Centre for Digital Media Technology, brings together leading academics, researchers and industry partners to deliver excellent science and impact, engage the public, innovate novel solutions for business and enhance Ireland's international reputation (www.adaptcentre.ie). ADAPT combines the expertise of over 300 researchers across eight Higher-Education Institutes (Trinity College Dublin, Dublin City University, University College Dublin, Technological University Dublin, Cork institute of Technology, Athlone Institute of Technology, Maynooth University and National University of Ireland, Galway) with that of its industry partners to produce ground-breaking digital content innovations.

The ADAPT Centre executive function is co-hosted between Trinity College Dublin and Dublin City University. ADAPT brings together more than 300 researchers who collectively have won more than €100m in funding and have a strong track record of transferring world-leading research and innovations to more than 140 companies. ADAPT partners are successfully advancing the frontiers of Artificial Intelligence (AI), content analysis, machine translation, personalisation, e-learning/education, media technologies, virtual and augmented reality, and spoken interaction, as well as driving global standards in content technologies.

Today’s world is increasingly being driven globally by digital content technology which enables us to create, transform and consume information at ever increasing speeds across multiple modalities and devices. ADAPT’s overall mission is to ‘empower people for a deeper engagement in a digital world’. The ADAPT research programme drives breakthroughs within and across the intersection of AI driven media technologies and their empowerment of individuals, enterprises and society.

This post will deliver advances in linked data and semantic technologies that are key to efficiently manage the content, language and knowledge assets that underpin intelligent global engagement.

Why​ ​join​ ​ADAPT​ ​@​ ​TCD?

  • Work on hard problems in an interdisciplinary and exciting research environment. The ADAPT Centre combines the expertise of more than 220 researchers across eight universities at Trinity College Dublin, Dublin City University, University College Dublin, TU Dublin, National University Galway, Athlone Institute of Technology and Cork Institute of Technology. As well as conducting core research we have an active industry engagement programme and working on exciting and successful applied research projects with some of the world’s leading brands.
  • Work in a University where excellence of research is valued. Trinity is Ireland’s No. 1 University and is ranked in 101st position in world universities rankings (QS World University Ranking, 2020/21).
  • Work in a centre focused on advancing your career. Whether you want to take an academic, industrial or entrepreneurial career path, ADAPT prides itself in the support and mentoring that enables all its research fellows to reach their full potential. In 2020 alone ADAPT’s postdoc-to-PI programme has helped three postdocs transition to be Principal Investigators on their own H2020 projects, while four others have recently won funding with ADAPT support to realise the commercialisation of their research through spin outs and licensing.

Trinity Health Kidney Centre Summary

This translational research centre (www.thkc.ie) is based across several sites in Dublin: Tallaght hospital (where most patients with kidney disease in South Dublin are cared for), Beaumont Hospital (the largest kidney unit in Ireland and site of the national renal transplant programme), St James’ Hospital (the largest hospital in Ireland and currently the only one with a comprehensive electronic health record), the ADAPT SFI Centre and the Trinity Translational Medicine Institute (https://www.tcd.ie/ttmi/research/themes/translational-III.php).

Information relating to the School of Medicine is available via the following link http://www.medicine.tcd.ie/

Current Research Fields

  • Investigation of the influence of environment on disease relapse in autoimmunity
  • Development of a pan-Ireland registry of systemic vasculitis, with linked bio-resource which provides clinical research samples for study in the laboratory
  • Development of urinary biomarkers of renal inflammation
  • Investigation of adverse events of intensive immunosuppression