DEPARTMENT
The School of Computer Science and Electronic Engineering (CSEE) is a large and vibrant department in the Faculty of Science and Health. The REF ranked CSEE 6 in the UK for Computer Science research power and 100% of its research impact was rated world-leading or internationally excellent. CSEE is internationally known for its research in a range of areas and offers an excellent education to its students. The school has seen tremendous growth recently as a result of its research and education output. We are seeking to appoint a lecturer of Natural Language Processing to further strengthen our research and education expertise.
We are particularly interested in candidates with research expertise in one or more of the following areas, if possible, with experience of deep learning methods:
DUTIES OF THE ROLE
You will deliver excellent research and teaching, generate research income, contribute to the administration and management of the School and to its local, regional and international profile. You will teach on our courses at undergraduate and/or postgraduate level. This may include delivering existing modules, developing new modules and generally enhancing our research-led teaching. We aim for excellence in education as well as research and are looking for individuals who can contribute to both.
SKILLS AND QUALIFICATIONS REQUIRED
You will have a PhD in a relevant discipline or equivalent professional experience or practice or be close to completion of PhD, and ideally fellowship of the Higher Education Academy or the ability to gain professional recognition at this or a higher level if appropriate.
You will have confirmed experience in teaching at undergraduate and/or postgraduate levels, and of designing and planning learning activities. You will be able to demonstrate evidence of a clear publication plan for submission to future Research Excellence Framework (REF) programmes, and evidence of a research agenda, engagement in high-quality research activity and a developing research profile.
We particularly welcome applications from those who identify as female or non-binary as they are under-represented in the School
The University is clear in its commitment to individual contribution and to ensuring people are able to work in ways that suit them best within the limits laid down by the University and by their role. If you are interested in this role but would need to work in an approach that is not full-time, you are encouraged to apply for this post and will have the opportunity to discuss your preferred working pattern if you are selected for interview.
Please see the attached job pack, which contains a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please contact resourcing@essex.ac.uk
*More information: Working at the University