The goal of this PhD is to design efficient models and tools for system observability and fault injection.
Overall, this should enable assessing performance and correctness aspects of large-scale systems and networks when subject to different conditions, workloads and fault patterns.
The position is in the scope of a broader project to address the reproducibility problems in the experimental evaluation of distributed systems and networks. Experiment reproducibility is a core tenet of the scientific method but unfortunately the increasing complexity of the systems we build, deploy and evaluate makes it difficult to reproduce - and understand - system behavior and experimental results in particular in adversarial environments.
We are looking for a researcher with an independent mind who is willing to work on the above topics and collaborate with a team of other researchers and students. As background, we seek candidates with practical experience in the “system’s side” of designing and building distributed systems and networks.
The candidate should be proficient in written and spoken English.
As a research outcome, we expect publications in top-tier venues and (prototype) tools.
The call is open from November 25th, 2019 to December 6th, 2019. To discuss further details about the position please contact Prof. Miguel Matos (miguel.marques.matos AT tecnico.ulisboa.pt). To apply check eracareers.
INESC-ID is a research laboratory of Instituto Superior Técnico (IST - Universidade de Lisboa) in the areas of Electrical and Computer Engineering and Computer Science. INESC-ID’s researchers regularly collaborate with the leading groups worldwide and publish their results in the most competitive venues. Several of its researchers have been awarded some of the most important recognitions in their fields, namely two IEEE Fellows, two ACM Distinguished Members, and one ERC Grant. INESC-ID is highly involved not only in EU projects, networks of excellence and advanced training programs but also in partnerships with major universities in Europe and the US.
You will be working on a three-year project funded by the National Science Foundation (FCT) The goal of the project is to address the reproducibility problems in the experimental evaluation of distributed systems and networks. Experiment reproducibility is a core tenet of the scientific method but unfortunately the increasing complexity of the systems we build, deploy and evaluate makes it difficult to reproduce - and understand - experimental results.
The focus of this position is to research, design and develop the methods, models and tools that enable: i) a better experimental evaluation process and ii) an experimenter to pinpoint, or induce, pathological scenarios in the system under study. This includes the performance and correctness aspects of large-scale systems and networks evaluation when subject to different conditions, workloads and fault patterns.
For more information please contact Professor Miguel Matos (miguel.marques.matos AT tecnico.ulisboa.pt).
We are looking for a researcher with an independent mind who is willing to work on the above topics and collaborate with a team of other researchers and students. As background, we seek candidates with practical experience in the “system’s side” of designing and building distributed systems and networks.
The candidate should be proficient in written and spoken English.
As a research outcome, we expect publications in top-tier venues and (prototype) tools.
Apply here
Deadline: November 28, 2018
INESC-ID is a research laboratory of Instituto Superior Técnico (IST - Universidade de Lisboa) in the areas of Electrical and Computer Engineering and Computer Science. INESC-ID’s researchers regularly collaborate with the leading groups worldwide and publish their results in the most competitive venues. Several of its researchers have been awarded some of the most important recognitions in their fields, namely two IEEE Fellows, two ACM Distinguished Members, and one ERC Grant. INESC-ID is highly involved not only in EU projects, networks of excellence and advanced training programs but also in partnerships with major universities in Europe and the US.