6487FUNDED PhD Positions: DYNAMIC ADAPTIVE AUTOMATED SOFTWARE ENGINEERING
- Jul 10, 2014appologies 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.
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.
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.