Location: | Belfast |
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Salary: | £31,414 to £48,379 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 20th August 2024 |
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Closes: | 1st September 2024 |
Job Ref: | 030122 |
Job Title: Research Associate / Research Fellow (Data Analytics)
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: 030122
- 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 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 AI research in the domain of Statistics and detecting change in data.
Appointment will be made at either Research Associate or Research Fellow level.
We may create a 12-month waiting list for same or similar roles within the Department / Faculty. The University reserves the right to extend the waiting list across the University if required for certain posts.
- ABOUT YOU -
The postholder will be required to have:
- PhD (or nearly completed PhD) in Data Science, Process Mining, 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 and Artificial Intelligence using one or more of the following: Python, R, SQL, Java, Tensorflow
- Evidence of a working knowledge of one or more of the following: Data and Statistical analysis; Machine Learning to build models; Artificial Intelligence
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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