爱尔兰都柏林圣三一学院数据工程博士后职位

爱尔兰都柏林圣三一学院数据工程博士后职位

Post-Doctoral Research Fellow in Data Engineering

Trinity College Dublin

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

Qualifications

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

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

TRINITY COLLEGE DUBLIN, THE UNIVERSITY OF DUBLIN IS AN EQUAL OPPORTUNITIES EMPLOYER