The clash between an ever increasing complexity of computational tasks we entrust to our mobile devices and limited battery resources unable to sustain such computations, calls for a new way of thinking about mobile computation. Approximate Mobile Computing (AMC) is a novel paradigm where a computed result accuracy is sacrificed in order to preserve energy resources of a mobile device.
We are looking for a highly motivated PhD candidate who will, under the mentorship of Dr Veljko Pejović, work on the investigation of AMC techniques suitable for mobile devices, the implementation of selected techniques in Android OS, and the examination of energy savings enabled by these techniques.
Ideally, the candidate should have a background in building mobile systems and should be experienced with Android programming. Experience with low-level programming (e.g. compiler writing) is a plus. Further, the candidate should have solid analytical skills.
We offer a fully-funded (tuition + monthly salary) full-time research-teaching position, where for the first two years the candidate is employed as a full-time researcher, afterwards converting to a mixed research and light-load teaching assistantship.
The scholarship is intended to start with 2020/2021 school year, however, interested candidates should contact Dr Veljko Pejović (please send your CV and a brief motivational letter) as early as possible, as pre-doctoral internship engagement may be considered.
A postdoctoral researcher to be hired within this project will work with Dr Veljko Pejović and a PhD student on 1) the investigation of approximation techniques suitable for mobile devices, 2) the implementation of selected techniques in Android OS, and 3) the examination of energy savings enabled by these techniques.
The researcher should have experience with custom compiler programming (e.g. LLVM) and Android OS programming. Experience with approximate computing techniques is highly desired.
This is a part time (50%) research position with 18 month duration. This may be combined with a 50% teaching assistantship at UL FRI for a full time employment. Options for full time teaching or research employment beyond the duration of the project can be discussed once the candidate is in post.
The project is expected to start in January 2020.
Interested candidates should contact Dr Veljko Pejović (please include your CV) as soon as possible.