The School of Mathematics and Physics, at Queen’s University Belfast, seeks to employ a new lecturer to augment teaching in mathematics, with specific initial educational responsibilities involving machine learning and artificial intelligence.
The successful candidate will support teaching on a new postgraduate MSc in Data Science with Machine Learning and AI, as well as more general teaching activities in mathematics within the School.
In addition the Lecturer will be expected to develop an ambitious, high-quality internationally competitive research profile and to undertake a reasonable level of administration and outreach activity. The area of research endeavour is not prescribed but it should align with, or complement, ongoing activities in the School and should be such that teaching in machine learning and artificial intelligence is genuinely research-informed.
About the person:
The successful applicant must demonstrate the following:
1. Hold or be about to obtain a PhD in Mathematics, Physics, Statistics, Data Science or a closely related discipline.
2. Have a strong record of publications in high quality peer reviewed journals, REF returnable, commensurate with carer stage.
3. Demonstrable evidence of independent contributions in research projects and in the generation of outputs, commensurate with career stage.
4. Demonstrable evidence of significant expertise in machine learning / AI within research portfolio.
5. Evidence of the potential to establish independent sustainable research programmes.
6. Have evidence of delivering high quality lecturing, project supervision or assessment activities at undergraduate or postgraduate level, commensurate with career stage in one or more of the following curriculum areas: Mathematics Data Science Machine Learning Statistics
7. Ability to communicate complex information effectively to a variety of audiences.
8. Ability to communicate effectively in English, both orally and in writing.
9. A commitment to creating an inclusive and supportive academic environment, enhancing equality, diversity and supporting early career academics.
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.
What we offer:
Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality.
If you are an international applicant and don't already hold a visa that permits you to take up the role you are applying for, please use the information provided on our website to self-assess whether the University is likely to be able to support a visa application -