FUNDED PhD Positions: DYNAMIC ADAPTIVE AUTOMATED SOFTWARE ENGINEERING

[John Woodward]

appologies for cross posting.
Please forward to final year undergraduates and Master's students

*FUNDED PhD Positions*

About Dynamic Adaptive Automated Software Engineering (DAASE)

DAASE is a four site project funded by the Engineering and Physical
Sciences Research Council involving University College London, Birmingham,
Stirling and York and with a growing list of industrial partners,
including: Berner and Mattner, BT Laboratories, Ericsson, GCHQ, Honda
Research Institute Europe,IBM,Microsoft Research and Motorola UK.

The project seeks to use Search Based Software Engineering to develop
optimised software development processes, combining aspects of software
engineering activities into a single combined and optimising process. This
new form of software engineering will be supported by the development and
evaluation of theory, algorithms and methods for advanced exact,
metaheuristic and hyper-heuristic techniques. The goal is to produce
software that is dynamically adaptive; not only able to respond to and fix
problems that arise before deployment and during operation, but that
continually optimises, re-configures and evolves to adapt to new operating
conditions, platforms and environmental challenges (as most broadly
construed).

DAASE will create an array of new processes, methods, techniques and tools
for a new kind of software engineering, radically transforming the theory
and practice of software engineering.

The Posts

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DAASE is a highly collaborative project. PhD students working on the
project will have at least one other "buddy partner site" (one of the four
academic partners specifically designated to collaborate) with which they
will collaborate, supported by visits to the partner site (of one to four
weeks duration), the full expenses of which will be met by the project.
PhDs will also have opportunities to visit and collaborate with industrial
and other partners and to be fully engaged with the international community
through conferences, workshops and other networking activities. This will
enhance training and development and open new opportunities for
collaboration and intellectual development.

A total of four studentships are available.

Contact John R. Woodward jrw at cs.stir.ac.uk http://www.cs.stir.ac.uk/~jrw/

Studentships will provide funding for tuition fees, a stipend of £13,590
per annum plus Research Training Support Grant of £750 pa.

Formal applications should be made via the online PG application form at
http://www.stir.ac.uk/postgraduate/research-degrees/school-of-natural-sciences/
Click the "apply now" button at the top right of the page. Select 'Research
Degree in Computing Science' and 'register as a new user' on the system to
proceed to the application form.

Source: www.stir.ac.uk/impact/
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