Assistant Professor in Business Analytics - AI and Agentic Systems

Dublin City University; Dublin; Vor Ort; EUR 65.000 - 105.000; Vollzeit

Zusammenfassung

The Dublin City University Business School invites applications for the role of Assistant Professor in Business Analytics - AI and Agentic Systems. The appointee will join the Enterprise and Innovation Group to advance high-quality research and teaching in analytics, AI for decision making, and business value creation.

Responsibilities include designing, operationalising and teaching AI workflows and NLP applications, contributing to external engagement, programme management, and supervision in

Qualifikationen

• Qualifications and experience required are detailed in the attached job description.

Aufgaben

• Conduct high-quality research and teaching in Business Analytics with emphasis on analytics and AI for optimizing business decision making, productivity, and value.
• Design, operationalise and teach AI and agentic AI workflows, translating emerging AI capabilities into robust, responsible, and measurable business processes.
• Contribute expertise in deep learning for NLP, including text analytics, semantic search, information extraction, conversational interfaces, retrieval-augmented generation, and decision-support systems.
• Participate in external engagement activities; contribute to programme management, research supervision and service activities across the School and University.

Jobbeschreibung

#003496 Assistant Professor in Business Analytics - AI and Agentic Systems

3-Year-Fixed Term Contract

Role Profile

The successful individual will be a member of the Enterprise and Innovation Group in DCU Business School. They will conduct high quality research and teaching in Business Analytics, with a strong emphasis on analytics and AI for optimising business decision making, productivity, and business value.

The role requires experience in the design, operationalisation, and teaching of AI and agentic AI workflows, including the translation of emerging AI capabilities into robust, responsible, and measurable business processes.

The successful individual will also contribute expertise in deep learning for natural language processing (NLP), including practical applications such as text analytics, semantic search, information extraction, conversational interfaces, retrieval-augmented generation, and decision-support systems.

They will also participate in the School’s external engagement activities. Further, the successful individual is expected to contribute to programme management, research supervision and the service activities of the School and University. The successful candidate will contribute to the School’s growing activities in analytics, AI, and digital transformation.

Please see the attached job description which includes details on the responsibilities associated with the role and the qualifications and experience required.

Salary Scale

Assistant Professor - €65,229 - €104,536

Appointment will be commensurate with qualifications and experience and in line with current Government pay policy.

Closing Date

Monday, 19th October 2026

For more information on the School, please visit DCU Business School

Informal Enquiries in relation to this role should be directed to:

Professor Regina Connolly, Head of the Enterprise and Innovation Group, Dublin City University Business School, Dublin City University.

Email: [e-mail]

Contact Email : [e-mail] Contact No : +00353 1 700 5436

Dublin City University is an equal opportunities employer.

In line with the Employment Equality Acts 1998 – 2015, the University is committed to equality of treatment for all those who engage with its recruitment, selection and appointment processes. We will provide support and accommodations to ensure all candidates, including those with disabilities, can fully participate in the process.

The University’s Athena Swan Silver Award signifies the University’s commitment to promoting gender equality and addressing any gender pay gaps. Information on a range of university policies aimed at creating a supportive and flexible work environment are available in the DCU Policy Starter Packs