Senior Researcher in Natural Language Processing and Federated Learning

Found in: Talent IE C2 - 3 weeks ago

Cork, Ireland ADAPT Centre Full time

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.

Duties of the Post:
The Researcher will:
▪ Design and implement federated learning systems that facilitate collaborative yet private
model training across distributed data sources, maintaining user confidentiality.
▪ Construct new frameworks for the evaluation of model performance in NLP tasks,
particularly in the context of federated learning environments.
▪ Lead the analysis and visualisation of complex datasets, interpreting results to gain insights
into language patterns and model efficacy.
▪ Actively participate in the dissemination of research findings through high-impact academic
journals, conferences, and seminars.
▪ Collaborate closely with the Principal Investigator to participate in project calls, meetings,
and presentations, both within Ireland and internationally.

▪ Assist in the preparation of project deliverables, reports, and documentation, ensuring
adherence to project timelines and goals.
▪ Contribute to the supervision of postgraduate students’ research activities, providing
mentorship and supporting their academic development.
▪ Pursue relevant training and professional development opportunities to remain at the
forefront of NLP and federated learning research fields.
▪ Perform necessary administrative tasks related to the research programme, including data
management, ethics submissions, and progress reporting.
The appointee shall carry out the lawful instructions of the President (or authorised Officer)
and comply with the requirements and regulations of the Minister for Further and Higher
Education, Research, Innovation and Science.

Qualification Requirements and Selection Criteria for role:
Essential Qualifications
▪ The ideal candidate will possess a PhD, or be near the completion of their PhD, in a relevant
field of Machine Learning and Natural Language Processing, ensuring a deep understanding
of the theoretical and practical aspects of these disciplines
▪ Candidates with significant industrial experience in Artificial Intelligence, marked by a
minimum of 2 years in roles directly linked to AI innovation and development, will also be
considered. This experience should demonstrate a tangible impact on the field and
compensate for the absence of a PhD qualification.
▪ Those close to completing a Master’s degree in Artificial Intelligence may be considered,
especially if they have engaged in substantial projects or research pertinent to federated
learning or ethical aspects of AI.

▪ Experience in designing and conducting experiments on high-performance computing
clusters, showcasing technical proficiency and an ability to manage complex computational
tasks.

Desirable Qualifications
▪ A strong publication record in international peer-reviewed publications and presentations
at top-tier conferences and journals, reflecting an active and successful research career.
▪ Excellent written and verbal communication and interpersonal skills, with the ability to
convey complex technical information clearly and collaborate effectively with various
stakeholders.
▪ An established record of providing supervision and support to students at the postgraduate
level, demonstrating a capacity for mentorship and academic leadership.

NOTE: In addition to the minimum qualifications, it may be necessary to introduce further shortlisting
criteria. Therefore, candidates may be shortlisted on the basis of qualifications and suitable
experience based on details given in the application. Candidates should note that they may be called
for more than one interview. Upon completion of interview, a panel will be formed from appointable
candidates.

Other attributes:
• Good communication and interpersonal skills
• Evidence of ability to work on own initiative as well as part of a team
• Ability and willingness to work in a collaborative environment

Closing date for receipt of completed applications is1.00 pm on 3 May 2024.

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