The School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queen's University Belfast, is currently seeking to appoint a Lecturer/Senior Lecturer in Scalable Data Technologies to undertake advanced research in scalable data technologies, developing and contributing to our ambitious research agenda and leading University-wide efforts to establish Queen's as an international leader in AI research and the application of this research to address real-world challenges.

The post holder is expected to undertake world class research and innovation and contribute to excellent student experience via research led teaching and assessment. They will also contribute to administration or outreach activities, specifically capitalising on the major opportunities available in this area by the recently announced UK Industrial Strategy, UKRI, many European and Global initiatives and ongoing investment in the area via Belfast Regional City Deal (BRCD).

The recruitment process involves shortlisting after the closing date and an interview. In situations where there is an exceptionally high number of candidates, the Panel reserves the right to introduce a further stage in the recruitment process to assist in the selection process. If applicable, candidates will be notified of this after shortlisting.

About the person:

The successful candidate must have, and your application should clearly demonstrate you have:

• A PhD in Computer Science, Computer Engineering, Electronic Engineering (or similar discipline)

Demonstrable evidence of:

• A strong record of research (commensurate with career stage) in Scalable Data Technologies, including but not limited to: large scale data and knowledge management systems, graph databases, data curation and provenance, data engineering Record of high-quality publication of excellent research outputs in Scalable Data Technologies commensurate with stage of career
• Independent contribution in research projects and outputs and potential to establish an independent sustainable research program
• Contribution to national and international collaborations

At Senior Lecturer level evidence of:

• Contribution of research income generation

Successful supervision/mentoring of PhD students and/or Research staff.

• Evidence of teaching experience including but not limited to undergraduate and postgraduate level teaching, assessment and/or industrial training activities.

At Senior Lecturer level evidence of:

Acting in a leadership role regarding teaching activities (for example, acting as a module coordinator/lead).

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.