The System and Network Engineering (SNE) Lab is one of the three largest research labs at the Informatics Institute (IvI) of the University of Amsterdam (UvA), which has consistently been ranked among the top 100 computer science departments in the world by various international university rankings. The SNE lab conducts research on leading-edge computer systems of all scales, ranging from global-scale systems and networks to embedded devices. Across these multiple scales our particular interest is on extra-functional properties of computer systems, such as performance, energy consumption, reliability, programmability, productivity, trustability, and security.
The SNE lab has partnerships with industry to explore the theoretical and practical challenges in the run-time control and optimization of real-world complex systems in which (networked) computers play a central role. The Dutch Technology Foundation STW funded iDAPT project will explore how to analyze, predict, steer and optimize the extra-functional properties of applications in such networked computer systems while they are running, together with our partner ASML, the market leader in chip manufacturing lithography machines.
The SNE Lab and ASML are looking for a PhD candidate interested in participating in this research.
The research will focus on run-time monitoring, analyzing, simulating and steering the extra-functional behavior (EFB) of complex, networked real-time computer systems. EFB is a general term that encompasses all behavior of a computer system not primarily encoded in the source code of its software, like performance, throughput, fault rates, total memory usage, disk I/O, etc. The proposed approach is to model and simulate the system at a high level of abstraction, and perform run-time monitoring in the context of the dozens of computers and hundreds of software processes of the ASML’s machines. These abstract simulation system models will need to be made ‘auto-calibrating’ (i.e., they are calibrated at run time) and should allow for predicting – using e.g. machine-learning techniques – how the EFB will evolve over time. Usage of operating-system based countermeasures to control the EFB according to requirements of the system is expected. The proposed methodology will provide a breakthrough in EFB management of complex applications in networked computer systems.
Three researchers will support this project, including the position corresponding to the present opening.
The PhD candidate is expected to:
Further information may be obtained from:
The temporary appointment will be full-time (38 hours a week) for a period of four years (initial employment is 18 months). Periodic evaluations will be held after 9 and 14 months, and upon positive evaluation, the appointment will be extended to a total of 48 months. The appointment must lead to a dissertation (PhD thesis). An educational plan that includes attendance of courses, summer and/or winter schools, and national and international meetings will be drafted for the PhD candidate. The PhD candidate is also expected to assist in teaching of undergraduate students.
The salary is in accordance with the university regulations for academic personnel. The salary will range from €2,191 (first year) up to a maximum of €2,801 (last year) before tax per month (scale P) based on a full-time appointment. There are also secondary benefits, such as 8% holiday allowance per year and the end of year allowance of 8.3%. The Collective Labour Agreement for Dutch Universities is applicable.
Some of the things we have to offer:
Applications should include:
Applications may only be submitted by sending your application to firstname.lastname@example.org. To process your application immediately, please quote vacancy number:16-581 and the position and the project you are applying for in the subject-line.
The selection process will consist of multiple rounds, during which (selected) candidates may also be asked to complete a programming challenge.
The selection process commences immediately and continues until a suitable candidate is found.
The committee does not guarantee that late or incomplete applications will be considered.
You may submit your applications until 15 February 2017.