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Job description

Edinburgh Napier University is the #1 Modern University in Scotland. An innovative, learner centric university with a modern and fresh outlook, Edinburgh Napier is ambitious, inclusive in its ethos and applied in its approach.

Edinburgh Napier Universitys phenomenal results from the Research Excellence Framework (2021) are testament to our growing strength and capability as a research institution. These results, alongside our consistently positive National Student Survey results and sustained high levels of graduate employability, demonstrate the increasing impact of Edinburgh Napier's collective work, quality and commitment.

REF 2021 assessed 68% of our research as either world-leading or internationally excellent, up 15% since 2014. Additionally, the Universitys research power metric rocketed from 250 to 718, making Edinburgh Napier the top ranking Scottish modern university for both research power and research impact.

The Universitys improved power rating will now see our research funding increase as we take significant strides to grow our reputation as a research-focused institution as well as a teaching one. Through continuous investment in staff and our research environment, we are confident that we are well on our way to establishing ourselves as one of the UKs world-leading universities in research.

The School of Computing, Engineering & the Built Environment has over 200 academics, and around 3,100 campus-based students, and delivers programmes with professional accreditations from the British Computer Society, Institution of Engineering and Technology, The Chartered Institute of Building and other accreditation bodies. We have excellent computing, engineering and construction lab facilities. The School has embarked on a major development in the area of Industry 4.0, bringing together computer science, engineering, mathematics and construction technology. We are one of the UK's largest computer science academic units with key strengths in AI, cyber security and creative and social informatics. We house leading UK research centres in transport policy and sustainable construction. The schools are based in the lively and exciting Merchiston area at the heart of Edinburgh, Scotland's inspiring capital.

The latest UK national research assessment, REF 2021, places our Computer Science research in the top-30 in the whole UK and 3rd best in Scotland (both in power ranking). In terms of research impact 100% of our work achieved the highest rating (4*), a performance achieved only by six other universities in the whole UK. Our research is underpinned by significant amounts of funding from prestigious sources including both EPSRC and Horizon 2020.

This is a great opportunity for an experienced academic with expertise in Artificial Intelligence and Machine Learning or related fields to the work of the experienced team exploring Search-based optimisation, Evolutionary Robotics, Natural Language Generation, Multi-Modal Healthcare Data Analytics. As a professor you will be expected to contribute to the leadership of the research group as well, especially in terms of driving the research agenda and leading the exploration of new foundational research areas. Areas of desirable expertise include, but are not limited to: machine learning with applications to robotics, machine learning theoretical foundations, machine learning applied to biomedical data and healthcare, search-based optimisation, deep learning systems, adversarial machine learning, generative models in machine learning, natural language processing with machine learning, explainable machine learning, neuromorphic machine learning systems. With 80% time allocation for research, this role will allow you to explore novel and emerging areas of artificial intelligence and machine learning, deliver excellent quality research papers and secure substantial external research funding.

The Professor in Artificial Intelligence and Machine Learning will contribute to and build programmes and modules to support the expansion of the Schools teaching portfolio which explores the changing nature of IT infrastructure, AI and ML applications to big data, business intelligence, and the impact of technology on business. You will actively contribute to our existing portfolio of computer science based degree programmes.

We are looking for someone who can demonstrate enthusiasm for working in a cross-disciplinary manner in fundamental and applied research and in the development of research-informed teaching to enhance employability of our graduates. You will have the opportunity to expand your industry connections through our existing networks.

Further information about Edinburgh Napier University can be found here.

The Role

As a professor you will be a member of our Artificial Intelligence research group with:

Applicants must demonstrate:

Applicants preferably will also demonstrate:

If you would like to know, more about this exciting opportunity please click here to view our Grade 8-10 (level 1-3) role profiles.

How will we reward you?

Salary: 65,000 - 95,000 per annum (Grade 8-10; Level 1-3)

As the #1 Modern University in Scotland, Edinburgh Napier is here to make a difference. This is only possible because of the people that work here its our people that make us great. And with our people at the heart of what we do, its important that you are supported and rewarded.

We are committed to providing a wide range of benefits including:

Further information about our benefits can be found here.

Additional Information

Informal enquiries about the role can be made to Professor Peter Andras (p.andras@napier.ac.uk) or Professor Ben Paechter (b.paechter@napier.ac.uk).

Applications for the role must be submitted via the Edinburgh Napier University job applications web site emailed applications will not be accepted.

Application closing date: Tuesday 15 August @ 11:59pm

Edinburgh Napier is committed to creating an environment where everyone feels proud, confident, challenged and supported and are holders of Disability Confident, Carer Positive and Stonewall Diversity Champion status. More details can be found here.

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Professor in Artificial Intelligence and Machine Learning job with ... - Times Higher Education