We are a flexible employer.
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.
The Schools of Computing and Engineering & the Built Environment have around 200 academics, 3,100 campus-based students, and deliver 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 two schools are embarking on a joint major development in the area of Industry 4.0, bringing together computer science, engineering, mathematics and construction technology. The School of Computing is highly regarded and one of the UK's largest computer science departments. The School of Engineering & the Built Environment houses 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.
This is a great opportunity for an academic with expertise in either pure or applied mathematics to join the Mathematics, Artificial Intelligence and Cyber Security research groups where you can add to the work of the experienced team exploring Renewable Energy Mathematics, Applied Cryptography, Engineering Mathematics, AI Algorithms and Foundations of Blockchain Technology. Areas of desirable expertise include, but are not limited to: computational mathematics, control theory and optimisation, data science and machine learning, differential equations, engineering mathematics, multiscale modelling, cryptography theory, numerical analysis, and the mathematics of renewable energy.
With 80% time allocation for research, this role will allow you to explore novel and emerging areas, deliver excellent quality research papers and secure substantial external research funding.
The Lecturer in Mathematics will contribute to and build programmes and modules to support the expansion of our teaching portfolio which explores engineering mathematics, cyber security, digital materials science, and the impact of AI technology on business. You will actively contribute to our existing portfolio of mathematics, engineering and 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 and by visiting students on one-year industry placements and on our employer-based Graduate Apprentice programme.
Further information about Edinburgh Napier University can be found here.
As a lecturer you will be a member of our Mathematics, Artificial Intelligence and Cyber Security research groups 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 the role profile.
Further information about our benefits can be found here.
Salary: £40,927 to £50,296 per annum (Grade 6)
Applications for the role must be submitted via the Edinburgh Napier University job applications web site – emailed applications will not be accepted.
For general recruitment queries, please contact our Talent and Resourcing Team at: email@example.com.
Application closing date: 9th January 2022 @ 11.59pm
Interview date: February 2022
The University is committed to inclusion, demonstrated through our work in respect of our diversity awards and accreditations and holds Disability Confident, Career Positive and Stonewall Scotland Diversity Champion status. More details can be found here.
|Salary:||£40,927 to £50,296 per annum (Grade 6)|
|Placed On:||23rd November 2021|
|Closes:||9th January 2022|
Type / Role: