Application Form
Research Fellow in Data Engineering [PARADISE]

JobRef: 22986
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Research Fellow in Data Engineering [PARADISE]

Level:Postdoctoral Researcher
POSTED:March 13, 2024
LOCATION:Trinity College Dublin
Duration:12 months
Reports to:Prof Mark Little & Prof Lucy Hederman
Salary:€42,783 - €54,965
Closing Date:April 2, 2024

The deadline for this position is 5 PM April 2nd 2024. Late applications will not be considered.

Please note the below is a shortened version of the full job specification. For more details on TCD, the ADAPT Centre, … please refer to the full Job Description document, which can be downloaded by clicking on the ‘Download full job spec’ button above.

 

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 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 and harmonisation of unstructured data and use of ontologies.

 

Background to the Post

The successful candidate will work with Professors Mark Little (www.tcd.ie/medicine/thkc/research/chronic.php) 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 an infrastructure for harmonising diverse health datasets from around the world. 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. It builds on work initiated in the PARADISE EU consortium (https://paradise-project.eu/) to develop predictive models of autoimmune disease relapse; the successful candidate will also join this consortium.

 

Standard duties and responsibilities

The Research Fellow will:

  • Be responsible for the research and implementation of technical solutions to the project goals.
  • 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

Qualifications

  • PhD or equivalent in computer science or aligned field

 

Knowledge & Experience

  • Experience in handling large datasets in the health space
  • Knowledge of ontology development
  • Experience with data wrangling, data analysis, data engineering
  • Knowledge of web application development and security

 

Additional Information

Salary

This appointment will be made on the SFI Level 2 Research Fellow salary scale (€42,783 – €54,965) on a point commensurate with experience

 

Benefits

  • 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, detailing why you are interested in the position and how your experience/education relates to the role,
  • A full curriculum vitae, and
  • The names and contact details of 3 referees (email addresses if possible)

via the following link: https://forms.gle/qtyiPtUAFExeVo9T9

Informal questions about the role may be directed to: Prof Mark Little, [email protected]

For any queries or issues relating to the recruitment process, please contact: Ms Robin O’Driscoll, [email protected]

 

About ADAPT

ADAPT is the world leading SFI research centre for AI Driven Digital Content Technology hosted by Trinity College Dublin. ADAPT’s partner institutions include Dublin City University, University College Dublin, Technological University Dublin, Maynooth University, Munster Technological University, Technological University of the Shannon, and University of Galway. ADAPT’s research vision is to pioneer new forms of proactive, scalable, and integrated AI-driven Digital Content Technology that empower individuals and society to engage in digital experiences with control, inclusion, and accountability with the long-term goal of a balanced digital society by 2030. ADAPT is pioneering new Human Centric AI techniques and technologies including personalisation, natural language processing, data analytics, intelligent machine translation human-computer interaction, as well as setting the standards for data governance, privacy and ethics for digital content.

Since launching, ADAPT’s researchers have signed 43 collaborative research projects, 52 licence agreements and oversee 16 active commercialisation funds and 52 commercialisation awards. ADAPT has won 40 competitive EU research projects and obtained €18.5 million in non-exchequer non-commercial funding. Additionally, six spinout companies have been formed. ADAPT’s researchers have produced over 1,500 journal and conference publications. Nearly 100 PhD students have been trained.

ADAPT’s breakthrough technologies and research applications AI for Media Interaction, Digital Humanities, Health, Data governance, and Fintech are being applied across multiple industry domains, expertly facilitated through the ADAPT Design and Innovation Lab (dLab) to deliver product and service innovation. ADAPT’s Start-up & Development team fosters and steers collaborations between researchers and AI entrepreneurs from start-up to successful spinout.

 

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/


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