Application Form
Research Fellow in Data Engineering

JobRef: 9183
  • Accepted file types: pdf.
  • Accepted file types: pdf.

Research Fellow in Data Engineering

Level:Postdoctoral Researcher
POSTED:June 16, 2021
LOCATION:Trinity College Dublin
CLOSES:July 6, 2021
Duration:2 Years
Reports to:Professors Mark Little and Declan O’Sullivan
Salary:€38,632 - €44,657
Closing Date:July 6, 2021

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 (, the School of Computer Science and Statistics ( and the ADAPT research centre ( 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 (, Declan O’Sullivan ( and Lucy Hederman ( The project builds on prior work in the AVERT programme ( 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 ( 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:


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