Research Associate/Fellow in AI-enabled Smart Software Engineering

Job Title: Research Associate / Research Fellow in AI-enabled Smart Software Engineering
Department/School:   School of Computing (BTIIC)
Campus: Belfast
Salary: Research Associate (£31,414 - £45,611) or Research Fellow (£46,974 - £48,379)
Duration: Fixed-term until 31st March 2028 / Full-time
Closing Date: 1st September 2024
Reference Number: 030124

- ABOUT US -

We are a university with a national and international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland.

Our core business activities are teaching and learning, widening access to education, research and innovation and technology and knowledge transfer.

- THE ROLE -
 
This post is funded by Invest NI / British Telecom (BT) under the BT Ireland Innovation Centre (BTIIC). The overall BTIIC centre addresses research topics in future telecommunication networks and services with a particular emphasis on Artificial Intelligence for service provision and business processes in the general telecoms space and also more targeted areas in the Internet of Things (IoT) and Cyber Security.
 
The postholder will work closely with BT Engineering to facilitate downstreaming of BTIIC research into BT Engineering systems, services and products. They will work in collaboration with other Ulster, BT Research and BT Engineering members of the wider research team and will conduct research in the domain of smart software engineering using AI and Machine Learning. 

Appointment will be made at either the Research Associate or Research Fellow level.

- ABOUT YOU -

The postholder will be required to have:

- PhD (or nearly completed PhD) in Artificial Intelligence, Data Science, Software Engineering, Mathematics, Statistics, or cognate discipline; OR A Master’s or Bachelor’s degree in Computer Science or cognate discipline, plus significant relevant industrial experience.
- Evidence of a high level of competence in Data Science, Python, and Version Control Systems (i.e., Git, etc).  
- Evidence of a working knowledge of one or more of the following: Data and Statistical analysis; Machine Learning to build AI models.

Please find our employee benefits on our website.

Athena Swan Statement

The School of Computing holds a Bronze Athena SWAN Award in recognition of our commitment to advancing Gender equality. You can read more about what this means on our University website. The University has a range of initiatives to support a family friendly working environment, including flexible working.

The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit.

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