Job Identification
6064
Job Category
Academic
Locations
Posting Date
12/09/2022, 09:48 PM
Apply Before
02/03/2023, 12:00 AM
Job Schedule
Full time
Health and Safety Requirements
No key hazards identified for this post
Criminal Record Check
No criminal record check required
Contract Type
Open Ended
Job DescriptionLecturer or Reader in Hybrid Artificial Intelligence
Lecturer: UE08 £43,414 - £51,805 per annum
Reader: UE09 £54,949- £61,823 per annum
School of Informatics, Science and Engineering
Full-time (35 hours per week), Open-ended
Applications are invited for an academic position in Hybrid Artificial Intelligence in the School of Informatics at the University of Edinburgh. This post is part of a continuing drive to expand our research on the combination of symbolic reasoning and machine learning.
The Opportunity:
The successful candidates will hold (or be near to completing) a PhD, have an established research agenda, and display the enthusiasm and ability to undertake original research and to lead a research group. They will show excellent teaching capability and engagement with academic supervision. We are looking for current and future leaders in the field.
In particular, we seek candidates with research interests in the development of hybrid AI methods that combine symbolic reasoning and neural learning , whereby neural networks can be used to model problems using data while considering domain knowledge encoded via symbolic techniques. Such an interplay can be used, for instance, to inject symbolic knowledge/constraints into neural network training or formally prove properties that the output of a neural network should obey.
Candidates will need demonstrable experience in the development of principled approaches combining symbolic reasoning and neural-based learning and their applications to real-world domains e.g., healthcare. We are especially keen to address problems related to integrated and trustworthy AI, one of the School of Informatics' strategic priorities.
The University of Edinburgh is one of the five founding partners of the UK's Alan Turing Institute for Data Science and Artificial Intelligence. This provides opportunities to interact with PhD students, research fellows and senior researchers. In addition, the School of Informatics is a member of the Confederation of Laboratories for Artificial Intelligence in Europe (CLAIRE). There are also ample opportunities within the University to pursue and drive collaborative activities with researchers in other areas of computer science, mathematics, and across the physical, social and biomedical sciences.
For this post, areas of interest include (but are not limited to):
Candidates should have a strong technical track record and be interested and able to teach undergraduate and master's level courses in areas such as neurosymbolic AI and machine learning.
Applicants must provide a recent CV, a research statement, and a teaching statement, which should specify the candidate's experience and approach to teaching, and what specialty and introductory (particularly undergraduate Informatics) courses they would be qualified to teach.
We recognise that the pandemic may have affected some applicants disproportionately and aim to take this into account in the selection process. Applicants can optionally include a short statement regarding how their work has been disrupted by Covid, and how this affects their recent track record. This statement should be part of the cover letter and should not exceed one paragraph in length.
Your skills and attributes for success:
UE08 Lecturer:
Candidates who are close to completing their PhD (ie. thesis submission is imminent), and who otherwise meet the selection criteria, will be considered.
The ability to engage with a range of teaching mediums including online and distance learning.
Click here for a copy of the full job description for position of Lecturer
UE09 Reader: as above and including:
.PhD must be completed for a Reader appointment.
Click here for a copy of the full job description for position of Reader
Shortlisting for this post will take place in mid-February 2023 with interviews scheduled to be held 15th and 16th March 2023. Unfortunately, due to the level of applications feedback is only provided to interviewed candidates.
Enquiries may be addressed to Prof Jacques Fleuriot ([email protected]).
As a valued member of our team you can expect:
An exciting, positive, creative, challenging and rewarding place to work. We give you support, nurture your talent and reward success. You will benefit from a competitive reward package and a wide range of staff benefits, which includes a generous holiday entitlement, a defined benefits pension scheme , staff discounts, family friendly initiatives , flexible working and much more. Access our staff benefits page for further information and use our reward calculator to find out the total value of pay and benefits provided.
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.
If invited for interview you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages.
The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office's English Language requirements and apply for and secure a Skilled Worker Visa.
About UsAs a world-leading research-intensive University, we are here to address tomorrow's greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.
About the TeamInformatics is the study of how natural and artificial systems store, process and communicate information. Research in Informatics promises to take information technology to a new level, and to place information at the heart of 21st century science, technology and society. The School enjoys collaborations across many disciplines in the University, spanning all three College, and also participates as a strategic partner in the Alan Turing Institute and, with Heriot-Watt University, in the Edinburgh Centre for Robotics.
The School provides a fertile environment for a wide range of studies focused on understanding computation in both artificial and natural systems. It attracts students around the world to study in our undergraduate and postgraduate programmes, and currently has approximately 1000 undergraduate students, 320 MSc students and 350 PhD students. Informatics is one of seven schools in the College of Science and Engineering, at the University of Edinburgh. It is recognised for the employability of its graduates (demand exceeds supply), its contributions to entrepreneurship, and the excellence of its research. Since the first Research Assessment Exercise in 1986, Informatics at Edinburgh has consistently been assessed to have more internationally excellent and world-class research than any other submission in Computer Science and Informatics. The latest REF 2014 results have again confirmed that ours is the largest concentration of internationally excellent research in the UK. This contributes to our ranking in the top 15 CS departments world-wide according to the latest Times Higher Education ranking.
We aim to ensure that our culture and systems support flexible and family- friendly working and recognise and value diversity across all our staff and students. The School has an active programme offering support and professional development for all staff; providing mentoring, training, and networking opportunities.
The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance gender equality in higher education and research.
https:// www. ed.ac.uk/schools-departments/informatics
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