Lecturer in Artificial Intelligence

Queen's University Belfast; Belfast; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading educational institution in Northern Ireland seeks a Lecturer in Artificial Intelligence to develop a research program and enhance student experiences through teaching. The successful candidate will engage in AI research, focusing on collaboration with industry and societal impact. The role offers a competitive salary and attractive benefits including generous holiday entitlement and flexible working options. Join us to establish leadership in AI at an international level.

Benefits

Generous holiday entitlement

Pension schemes

Development opportunities

Wellbeing support

Flexible working options

Qualifications

• Strong record of research in AI commensurate with career stage.
• Evidence of teaching experience at undergraduate and postgraduate levels.
• Independent contribution to research projects and outputs.

Responsibilities

• Develop an independent research program focusing on innovation.
• Contribute to teaching and enhancing student experience.
• Participate in administration and outreach activities.

Skills

Machine learning

Deep learning

Natural language processing

Computer vision

Knowledge engineering

Ethics and fairness in AI

Education

PhD in Computer Science or related disciplines

Job description

Lecturer in Artificial Intelligence

Job description

About the job:

The School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queen's University, is seeking to appoint a Lecturer in Artificial Intelligence. This post will be based in the University's new campus in GIFT City, India. The successful applicant will contribute to our ambitious research agenda and help to establish Queen's as an international leader in Artificial Intelligence research and the application of this research to real-world challenges.

The post holder is expected to develop an independent program of world class research and innovation, focusing on innovation, industry collaboration, and commercial/societal research impact. They will enhance an excellent student experience via research-led teaching and assessment, and will also contribute to administration of the School and the University, to citizenship in their research communities, and to outreach activities that showcase research to the wider3>About the person:

Essential Criteria:

• A PhD in Computer Science, Computer Engineering, Electronic Engineering (or related disciplines).
• A strong record of research quality, commensurate with career stage in AI, including but not limited to: machine learning, deep learning, natural language processing, computer vision, knowledge engineering, ethics and fairness in AI, and applied research including multimedia and biomedical informatics.
• Evidence of independent contribution to research projects and outputs and potential to establish an independent and sustainable research program.
• Evidence of contribution to national and international collaborations.
• Evidence of teaching experience including but not limited to undergraduate and postgraduate level teaching, assessment and/or industrial training activities.

Please refer to the Candidate Information below for the full list of essential and desirable criteria. Further information on the clinical responsibilities of the post, including prospective job plan, can be accessed by clicking here.

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:

Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits .

Equality, Diversity and Inclusion

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. For further information on our commitment to Equality, Diversity and Inclusion, please visit www.qub.ac.uk/diversity .

International Applicants

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 - http://go.qub.ac.uk/internationalstaffsupport .