Two PhD studentships on MDE for self-adaptive systems at Aston University (Birmingham, UK)

by Antonio Garcia-Dominguez, June 8, 2017

Two (2) funded PhD studentships on model-driven engineering for self-adaptive systems are available at the School of Engineering and Applied Science of Aston University (Birmingham, UK).

Two (2) funded PhD studentships on model-driven engineering for self-adaptive systems are available at the School of Engineering and Applied Science of Aston University (Birmingham, UK):

  • A 3-year research-intensive position on "Self-explanatory adaptive systems through annotated model versioning" (more details available in [1]).
  • A 4-year position on "Increasing the self-awareness of models@run.time systems" (more details in [2]), combined with a teaching assistant role. The candidate will be required to provide up to an average of 6 hours per week of  teaching support for a distance learning programme.
Applications for both positions are available from now until July 31st, or when a suitable candidate has been found.

The successful applicants would join the Aston Lab for Intelligent Collectives Engineering (ALICE) group, providing additional opportunities for research

collaborations [3].

Both positions include a fee bursary to cover the Home/EU tuition fee rate, plus a maintenance allowance. Applicants from outside the EU may apply for this studentship but will need to pay the difference between the "Home/EU" and the "Overseas" tuition fees, currently this is £11,729 for the 2016/17 academic year. As part of the application you will be required to confirm that you have applied for or secured this additional funding.

The successful applicant will have a strong undergraduate (first class or upper second class) and/or Master's degree in computer science, engineering, mathematics or a related discipline as well as excellent programming and analytical skills. Applicants from non-English speaking countries will need to satisfy Aston's English language entry requirements.

The online application form, reference forms and details of entry requirements, including English language are available here:

  http://www1.aston.ac.uk/eas/research/prospective-research-students/how-to-apply/

Applications should also be accompanied by a brief review of relevant research

literature, and an explanation of how your knowledge and experience will benefit the project.

For enquiries about this project, contact Dr. Antonio Garcia-Dominguez and Dr. Nelly Bencomo by email:

  * a.garcia-dominguez AT aston dot ac dot uk

  * n.bencomo AT aston dot ac dot uk

[1]: https://jobs.aston.ac.uk/Vacancy.aspx?ref=R170161

[2]: https://jobs.aston.ac.uk/Vacancy.aspx?ref=R170056

[3]: https://alice.aston.ac.uk/