Teaching and Research roles in Faculty of Science, Agriculture and EngineeringUniversity
Faculty of Science, Agriculture and Engineering
Applications are invited at Lecturer/Senior Lecturer level in AI & Cyber Security, and Senior Lecturer to Professor in each of Artificial Intelligence, and AI & Quantum.
The roles will be based in the appropriate school within SAgE faculty, depending on the background and alignment of the candidate: either the School of Computing, or the School of Mathematics, Statistics & Physics (MSP), with a flexible start date to be agreed. The successful candidate will be expected to carry out excellent research and teaching in the appropriate subject which complements and strengthens existing activities within the relevant School.
You will benefit from a thriving environment in Artificial Intelligence, which is one of the key research themes of Newcastle University. We are expanding our Artificial Intelligence capacity from a position of strength: we host and lead the £12 million EPSRC-funded National Edge AI hub and are partners in the £30m Newcastle-based National Innovation Centre for Data. We host the STFC Centre for Doctoral Training in Data Intensive Science, as well as Centres of Research Excellence in Data Science & AI, Cybersecurity and Resilience, and AI Safety. We are also heavily involved in the University development of Newcastle Helix, a £200 million project bringing together academia, the public sector, business, and industry on a new site in the heart of the city.
Our research activities span the theory and methods underpinning AI and Quantum through to data-driven real-world applications of AI in the life sciences, the cosmos and industry. Our activities are supported by a broad portfolio of research funding, including from the Alan Turing Institute, EPSRC, ERC, the Heilbronn Institute, ICMS, the Leverhulme Trust, NERC, the Royal Society, and STFC, and an extensive network of Knowledge Transfer Partnerships across the North East.
You will be a key contributor to the AI2030 faculty project to broaden our institutional offering in Artificial intelligence, alongside the related Data Science 2030 project. This will comprise a joined up educational offering at UG and PGT level and will be sector-leading in providing forward-facing AI skills embedded in academic units across all parts of the university. AI2030 will act as a solid platform to build tangible cross-institutional research and business engagement opportunities. AI2030 will be supported by strategic investment and the role holder will be a critical contributor to the success of the project.
Our aim is to employ a rich mix of Colleagues with different backgrounds that will help us to:
contribute new ideas and different perspectives to both teaching and research.
provide diverse role models and attract a wide range of bright, active, and engaged students.
At Reader/Prof level we are seeking candidates to pro-actively lead on ambitious academic initiatives such as the AI and Data Science 2030 projects that can contribute to our institutional portfolio in AI, for example, large-scale funding opportunities and/or new education provision.
All applicants who fulfil the criteria are welcome. We are keen to offer opportunities, where possible, to people from groups who are currently underrepresented in STEM disciplines in the UK. We are the proud recipients of an institutional gold Athena SWAN award and a unit-level silver award, demonstrating our achievements and ongoing commitment to achieving gender equality.
Informal enquiries may be made to Dr David Seifert ([email protected]), Prof Phil Lord ([email protected]) or Prof Murray Pollock ([email protected]).
More information about the Schools can be found at http://www.ncl.ac.uk/maths-physics and https://www.ncl.ac.uk/computing/
To find out more about the opportunities and to apply please click the 'Apply' button above.