Application Form
Postdoctoral Researcher in Automating Policy Compliance

JobRef: 23107
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Postdoctoral Researcher in Automating Policy Compliance

Level:Level 1
POSTED:April 15, 2024
LOCATION:Dublin City University
Duration:
Reports to:Dr. Harshvardhan Pandit
Salary:IUA Postdoctoral Researcher Salary Scale – Point 1 €42,783 – Point 7 €50,540.00
Closing Date:May 13, 2024

Please note the below is a shortened version of the full job specification. For more details please refer to the full Job Description document, which can be downloaded by clicking on the ‘Download full job spec’ button above. Closing date 13th May 2024.

Role Profile
The ADAPT Centre seeks to appoint a Post-Doctoral Researcher to work on a project involving
the creation and utilisation of tools that utilise machine-readable semantics and LLMs to assist
with policy documentation, discovery, and enforcement workflows. This project is a collaboration
between ADAPT and an industry partner., and the Researcher will be mainly based in the ADAPT
Centre within Dublin City University. The Researcher will work on a project involving developing
a Machine-readable Data Policy Specification based on standards (RDF, ODRL), exploring its use
to represent data policy workflows (e.g. under GDPR), explore the use of LLMs to assist in
generating structured information, and to develop tools and techniques for policy enforcement
(e.g. ensure workflows align with data processing agreements).

The open position corresponds to the work on one or more of the following topics:
1. Developing a machine-readable policy specification
2. Exploring potential of LLMs to assist with using the policy in documentation
3. Developing a policy enforcement tool to apply the developed specification

Duties and Responsibilities
• Manage and conduct the research under the leadership of the Principal Investigator
• Disseminating outcomes of research through project reports as well as peer-reviewed
academic publications, technical reports, industry and public events, and other
channels.
• Assist in the further development of research potential by pursuing external funding.
• Where relevant to the research topic, and within the bounds of DCU policies, assist in
co-supervising graduate and postgraduate research students.
• Administrative and management tasks associated with the project.
• Carry out any other duties within the scope and purpose of the job as requested by the PI.
• Comply with all ADAPT and DCU policies and regulations, including those in relation to
Research Ethics and Health and Safety.

Minimum Criteria
Applicants should have a PhD in Computer Science or equivalent. In addition, it is desirable that
the candidate has experience in:
Knowledge and Experience
• A strong background in use of semantic web, developing ontologies and applications
that use querying (e.g. SPARQL), reasoning, and validation (e.g. SHACL) (essential)
• Knowledge or awareness of privacy and data protection regulations such as GDPR (ideal)
• Knowledge of Data Privacy Vocabulary (DPV) (ideal)
• Experience in using and developing applications with LLMs designing and developing
(ideal)
• Evidence of a research profile and publication record (essential)
• Knowledge of research techniques and methodologies (essential)
• Capability for demonstrable high quality research (essential)
• Experience working on collaborative projects (ideal)

Candidates will be assessed on the following competencies:
Discipline knowledge and Research skills – Demonstrates knowledge of a research discipline
and the ability to conduct a specific programme of research within that discipline
Understanding the Research Environment – Demonstrates an awareness of the research
environment (for example funding bodies) and the ability to contribute to grant applications

Communicating Research – Demonstrates the ability to communicate their research with their
peers and the wider research community (for example presenting at conferences and
publishing research in relevant journals) and the potential to teach and tutor students
Managing & Leadership skills – Demonstrates the potential to manage a research project
including the supervision of undergraduate students


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