Dear Evolutionary Computing Community,
Keele University is seeking to appoint a senior lecturer or professor in Computer Science and Informatics (see advert text below). We would very much welcome applications from individuals who are research active within artificial life, computational intelligence, evolutionary and adaptive systems, natural computation or a related field. See below for examples of recent and ongoing research at Keele in these areas.
Following growth in our Project Management MSc programme, candidates also able to contribute to teaching in software engineering and project management are particularly encouraged to apply.
For those unfamiliar with the British system, a senior lecturer is approximately equivalent to an associate professor (without tenure review) and the title professor is reserved for full professors: this is a permanent faculty position for a research active individual. Keele University was founded in 1949 and is situated in a very beautiful and spacious campus in the middle of England, in the county of Staffordshire. Keele places a high value on excellent research and we support nationally and internationally competitive expertise throughout the Natural Sciences, Social Sciences, Health and Humanities.
Best wishes,
Alastair
PS: Candidates from outside the European Economic Area (EEA) and Switzerland may like to know that the UK has recently enhanced its 'tier 1 (exceptional talent)' route for those who are internationally recognised as world leaders or potential world-leading talent in the fields of science and the arts, to encourage you to come to the UK.
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Dr Alastair Channon
Computational Intelligence and Cognitive Science Research Group
Programme Director: Computer Science (Single and Dual Honours),
Information Systems, Creative Computing and Smart Systems.
School of Computing and Mathematics, Keele University
Staffordshire, ST5 5BG, UK. www.scm.keele.ac.uk/staff/a_channon
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Senior Lecturer / Professor in Computer Science and Informatics
School of Computing and Mathematics
Faculty of Natural Sciences
Keele University
Starting salary (depending on qualifications and experience):
Senior Lecturer (Grade 9): £47,314 - £53,233
Professor (Grade 10): Professorial scale
We wish to appoint a full-time Senior Lecturer or Professor in Computer Science and Informatics. Applications are welcomed from individuals who can carry out high quality research as well as being enthusiastic teachers in Computing. No field of the subject will be excluded, but candidates with interests including software engineering and project management are particularly encouraged to apply.
The successful candidate will have a PhD in Computer Science, Informatics or a related discipline and will have experience of teaching in higher education. You will be able to demonstrate an ability to develop, support and deliver high quality undergraduate and postgraduate teaching and associated assessment. The position will also involve contributing to managerial and administrative duties within the School, depending on experience.
The post-holder will be expected to have shown significant achievement in research and will have the potential to develop and/or enhance internationally competitive research that complements our existing research strengths and teaching in software engineering and project management. The post-holder will be able to demonstrate a proven track record in leading and managing successful research programmes.
For informal enquiries please contact Professor Graham Rogerson, Head of School by email ([log in to unmask]) or through the School Office on 01782 733075.
For full post details and to apply, please visit:
http://tinyurl.com/n45rfmx
Closing date for applications: 4 July 2013
Interviews will be held on: 16 September 2013
Post reference: AC13/27
Further Particulars:
http://www.keele.ac.uk/vacancies/academicposts/AC13-27FP.doc
(Opens fine in LibreOffice 4.0 but not 3.6)
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Computational Intelligence and Cognitive Science
Keele's Computational Intelligence and Cognitive Science (CICS) group uses computational models and simulation to advance our understanding of how evolution, learning and other adaptive processes can be harnessed in the development of intelligent systems. It addresses fundamental issues surrounding machine intelligence, robotics and the emergence of complexity, as well as helping to solve real-world problems. Examples of recent and ongoing research at Keele include:
+ Developing models of evolutionary dynamics and genetic algorithms that exhibit open-ended evolution. These advance our abilities both to evolve complex emergent processes and structures, including neurally controlled agents, and to study natural selection's contribution to the origins and maintenance of organismal complexity;
+ EPSRC funded work on the relationship between population size and the mutation rate above which alleles with the highest fitnesses are lost from simple evolving populations, and the implications this has for species under threat of extinction;
+ EPSRC funded work on the evolution of DNA sequences and their bindings to transcription factors and other proteins, with experiments run on the University’s CUDA GPGPU high performance computing cluster;
+ Capturing some of the expertise of expert astronomers into neural networks for the automated interrogation of very large astrophysical datasets;
+ Helping the decision making of NHS clinicians through the development of neural networks and other models that improve the diagnosis and prognosis respectively of colo-rectal cancer and of upper-limb impairments resulting from stroke;
+ EPSRC funded work with colleagues from Physics for the automated element-specific detection by neural networks of sensitive substances illuminated by some of the latest X-ray scanning equipment;
+ Industry funded work on non-linear time-series data analysis using reservoir computing and extreme learning machines, with applications to defect detection in reinforced concrete and hydrocarbon profiles for the ageing of Lucilia Sericata for post-mortem interval estimation;
+ Developing a numerical method for estimating the position of a moving robot using the intensity of the seismic waves that it causes on the arena upon which it moves;
+ Using an evolutionary algorithm to determine the parameters of a biologically inspired model of head direction cells;
+ BBSRC funded work on automated object recognition and focussing for medical applications, including: the automated identification of tissue boundaries in computer tomographic (CT) scans, enabling the next generation of radiotherapy linear accelerators to target diseased tissues (with their multiple highly focussed low-power beams) rather than neighbouring healthy organs: essential for the roll-out of this life-saving equipment for the treatment of cancer; new fractal algorithms to characterise the quality of transplanted cell growth from post-operative biopsies, essential for the development of a medical capability for large-scale patient-specific generation of cartilage growth for the treatment of arthritis; and algorithms to improve not just the tracking of cells but also the auto-focus method used in high throughput phase contrast microscopy;
+ EPSRC, AWM, DTI, EU and industry funded work on classification within forensic datasets, with applications in image source identification and unobtrusive but highly secure authentication methods.
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