Lecturer (Education and Research) in Photonic / Optoelectronic AI Computing

The post of Lecturer in Photonic/Optoelectronic AI Computing will contribute to extending the research profile of Engineering at Exeter, particularly in areas related or complementary to Electronic Engineering, Metamaterials and non-von Neumann computing., 1. To fulfil research, teaching and administration duties as a Lecturer in Photonic/Optoelectronic AI Computing.
2. To support the Engineering Department in extending the profile of this research area by attracting and supervising exceptional postdoctoral researchers and postgraduate research students, contributing towards the winning of significant research income, and by undertaking elements of the day-to-day running of undergraduate and postgraduate programmes.
3. To collaborate with colleagues both within the Faculty and the University of Exeter as a whole to develop and support the groups research programmes and other research programmes.
4. To contribute to the general operation of the faculty as a member of its academic team.

The successful applicant will have an independent research programme that will strengthen and complement the existing team at the University. You will be able to demonstrate the following qualities and characteristics:
1. A PhD or equivalent in Engineering, Physics, Materials Science or other relevant subject.
2. Sufficient knowledge in subject area to develop teaching and research programmes
3. A demonstrable potential to attract research funding.
4. A track record of excellent publications in recognised journals.
5. The aptitude to develop familiarity with a variety of strategies to promote and assess learning.
6. Enthusiasm, knowledge, and ability to teach modules in Electrical and Electronic Engineering and/or Mechanical/Materials Engineering and more widely, as required.
7. A track record of attracting research collaboration with industrial partners.
8. The ability and enthusiasm for supervising and supporting undergraduate and postgraduate projects., Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.

The position of Lecturer in Photonic/Optoelectronic AI Computing will be based in the Engineering Materials and Manufacturing Research Theme led by Prof C David Wright. The group is part of the Engineering department, led by Professor Ion Sucala (www.exeter.ac.uk/engineering). Engineering currently has over 100 academic staff across our Exeter (Streatham) and Cornwall (Penryn) campuses. The position will contribute to the work of the department's wider Engineering Materials and Manufacturing Theme, and to the university's Green Futures strategic priorities. The appointee will also be expected to engage with and support research activities of the university's Centre for Metamaterial Research and Innovation (CMRI, see https://www.exeter.ac.uk/research/metamaterials/). CMRI is an interdisciplinary research centre with academics drawn mainly from our departments of engineering and physics, and whose aim is to advance both the fundamental science and the real-world application of metamaterials.
The appointee will have access to state-of-the-art nanofabrication and materials/device characterisation facilities.
The department of Engineering has recently embarked on an ambitious strategy - Exeter Engineering 2030. Our vision is to harness the power of engineering and innovation to create a sustainable and healthier future. The strategy is underpinned by significant investment in staff and facilities, and it aims to build on our existing strengths and continue to develop emerging areas, contributing to the University's Strategy 2030.