Qualification type:  PhD
Location:  Birmingham
Funding for:  UK Students, EU Students, International Students
Funding amount:  £13,863
Hours:  Full Time
  Placed on:  1st July 2015
Closes:  31st July 2015
Reference:  R150053

(3 years)

Applications are invited to apply for one of our seven three-year Postgraduate Research studentships, supported by the School of Engineering and Applied Science, to be undertaken within the Computer Science Research Group at Aston University. The successful applicant will join the newly formed Aston Institute for Systems Analytics.

This studentship is combined with a teaching assistant role. The successful candidate will be required to carry out up to seven hours per week of teaching support for a distance learning programme under the direction of the project supervisor; therefore the student must be capable of teaching on a specific module. Details of teaching responsibilities can be found here and a list of taught modules can be found here.

Start Date: September/October 2015

Financial Support

This studentship includes a fee bursary to cover the home/EU fees rate plus a maintenance allowance of £13,863 in 2015/16 paid in monthly instalments. 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 £11,448 in 2015/16.

Background of the Projects

This project aims at investigating means to promote timeliness in coursework assessment while maintaining a high quality of feedback through a semi-automatic process of coursework assessment and feedback.

Please note that a maximum of three projects can be applied for, and a project proposal should be submitted for each project as part of your application.  The proposal should detail your relevant experience and knowledge of the subject, and details of how you intend to develop the research problem and structure your research as part of the project team.

Person Specification

The successful applicant should have a first class or upper second class honours degree or equivalent qualification in computer science, mathematics, engineering or a related discipline. Programming experience and excellent analytical and presentational skills, along with a demonstrable interest in the chosen research topic, are essential.

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