Technological University Dublin
Senior Research Assistant B GroSafe Project
접수중2026.02.10~2026.02.16
채용 정보
접수 기간
2026.02.10 00:00~2026.02.16 17:00
접수 방법
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제어계측공학, 정보・통신공학, 전자공학, 전산학・컴퓨터공학, 전기공학, 의공학, 응용소프트웨어공학, 광학공학더보기
기관 유형
대학교
근무 지역
해외(아일랜드)더보기
연봉 정보
지금 로그인하고 연봉 정보를 알아보세요!
Applications are invited for the following Post in the Technological University Dublin:
Post: Senior Research Assistant B GroSafe Project (Fixed-term specified-purpose Wholetime basis for up to 18 months) (Reference: 663a/2025)
Location: The post will be based at one of the TU Dublin Campuses i.e. Aungier Street, Bolton Street, Grangegorman, Blanchardstown or Tallaght. Regular attendance at other sites will be required
Hours of Work: A 37-hour working week is in operation.
Salary: It is expected that appointees will commence at Point 01 of the relevant pay scale i.e. Senior Research Assistant B €40,858, unless the arrangements set out in Circular Letter 08/2019 apply PMSS---Starting-Pay---Revised-Arrangements.pdf
Closing Date: The closing date for applications is 5:00pm on Monday, 16th February 2026. Late applications will not be accepted. It is anticipated that interviews for this post will take place in week beginning 18th March 2026. The interview assessment will be 45 minutes in length.
Application Details/Procedures:
For further information and to make an online application for the above post please visit
website visit www.tudublin.ie/vacancies
Technological University Dublin is an equal opportunities employer
Person Specification
TU Dublin is committed to being fully inclusive, which actively recruits, supports and retains staff from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the community they represent. We are proud to be an equal opportunities employer and encourage applications from everybody, regardless of race, sex, ethnicity, religion, nationality, sexual orientation, age, disability, gender identity, marital status/civil partnership, pregnancy and maternity, as well as being open to flexible working practices. During the recruitment and section process, candidates will be expected to demonstrate an appropriate mix of knowledge, experience and skills described below. For shortlisting purposes, candidates will be expected to demonstrate the degree to which they meet both the essential and desirable criteria set out below.
The ideal candidate will demonstrate the appropriate mix of knowledge, experience, skills, talent and abilities required for the role as outlined below and must satisfy all of the essential criteria:
Essential
1. B.Sc. (Hons) (NFQ Level 8) in Computer Science or an equivalent qualification awarded by an approved degree-awarding authority.
2. Evidence of familiarity with Cloud services and Web development frameworks.
3. Strong software development, testing, and debugging knowledge.
4. Knowledge of front-end and back-end design and development, including React, Cloud Databases, Multi-Factor Authentication (MFA), and UX.
5. 4+ years of software development experience in web and/or mobile applications.
6. 1+ years of experience in LLM AI research, development, and evaluation.
7. Experience with software development platforms.
8. Proven ability to take semi-independent ownership of software development projects and deliver results in line with established requirements / KPIs.
9. Advanced experience in configuring and managing Cloud services, including provisioning, scaling, and security management.
10. Experience with database infrastructure and implementation.
Essential Criteria for a Senior Research Assistant
1. A Master’s Degree (NQF L9) or equivalent in a relevant discipline
OR
Five years’ post-primary degree relevant research experience in the public or private sector.
Candidates will be shortlisted based on their demonstration of meeting every essential criterion so are asked to clearly outline how their experience and qualifications meet the criteria.
Desirable
1. Working knowledge of mixed-method research techniques.
2. Experience conducting research with vulnerable populations.
3. Experience with data analysis using Python, R, or similar software.
4. Experience with common LLM AI / ML platforms and methodologies, such as Phi, Granite, LLama, and Mistral.
5. Proven experience in deploying, optimizing, and maintaining applications in a Cloud environment, ensuring high availability and performance.
Candidates may be shortlisted on the basis of none, one or more of these desirable criteria and are asked to clearly outline how their experience and qualificat
근무 예정지
대표Technological University Dublin(해외) : Park House, 191 N Circular Rd, Grangegorman, Dublin
해외(아일랜드) : Ireland, TU Dublin
기관 정보
Technological University Dublin
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기관유형
대학교(해외)
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+353 1 220 5000
대표주소
Park House, 191 N Circular Rd, Grangegorman, Dublin
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