Ongeveer 21 uur geleden - VU - Amsterdam
The Vrije Universiteit Amsterdam School of Business and Economics established the Hermine Weijland Fellowship in 2017 with the aim of attracting and promoting …
Eindhoven University of Technology (TU/e, https://www.tue.nl/en/) is one of Europe's top technological universities, situated at the heart of a most …
Eindhoven University of Technology (TU/e, https://www.tue.nl/en/) is one of Europe's top technological universities, situated at the heart of a most innovative high-tech region, with a wealth of collaborations with industry and academic institutes. In 2017, TU/e was ranked 15th in Europe in the Times Higher Educational World University ranking for Engineering and Technology. TU/e has around 3,000 employees and 2,300 PhD students (half of which international, representing about 70 nationalities).
Electronic Systems group at the TU/e
The Electronic Systems (ES) group consists of seven full professors, one associate professor, eight assistant professors, several postdocs, about 30 PDEng and PhD candidates and support staff. The ES group is world-renowned for its design automation and embedded systems research. It is our ambition to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. The group is strongly involved in the electrical engineering bachelor and master programs of the TU/e, as well as in the automotive bachelor program and the embedded systems master program. The group has excellent infrastructure that includes individual computers, computer servers, state-of-the-art FPGA and GPU farms, sensor- and ad-hoc networking equipment, a cyber-physical systems lab, an electronics lab and a comprehensive range of electronic-design software. ES has strong collaborations with industry, research institutes and other universities. Eleven of its staff members have a second affiliation besides their TUE-ES affiliation. The ES group has been very successful in attracting funding for its research through national and international projects and collaborations (EU programs: H2020, ITEA, CATRENE, ECSEL, Artemis, Marie Curie; national programs: NWO, RVO, contract research), for a total budget of around 2M euro per year. The ES group is a multicultural team, with staff members of eight different nationalities and students from all over the world.
The envisioned research is part of the recently granted ECSEL project FitOptiVis, coordinated by Philips Healthcare. The objective of FitOptiVis is to develop an integral approach for smart integration of distributed image- and video-processing pipelines for cyber-physical systems (CPS) covering a reference architecture, supported by low-power, high-performance, smart devices, and by methods and tools for combined design-time and run-time multi-objective optimization within system and environment constraints.
In today's CPS domains such as healthcare, high-tech equipment, and robotics, efficient image processing plays a crucial role. The challenge is to ensure low latency, high-performance, and energy efficiency. The trade-off among these conflicting design objectives is key in the design decisions. This calls for a new paradigm of combined model-driven design-time and runtime multi-objective optimization that is specifically targeted for distributed imaging and video-processing pipelines within CPS.
The Electronic Systems group of the Electrical Engineering department at TU/e calls for applications for two PhD positions funded in the FitOptiVis project.
PhD position: Model-Driven Design and Optimization of Reconfigurable Streaming Image Pipelines
Model-driven design methods allow automated synthesis of optimized streaming image pipelines. Formal application models such as timed dataflow models, real-time calculus or timed automata provide powerful analysis and synthesis techniques. CPS applications and architectures are highly dynamic and static solutions do not suffice. Run-time adaptation, reconfiguration and optimization are needed to accommodate the dynamic behavior. The run-time adaptation needs to consider multiple objectives.
The FitOptiVis project intends to address this challenge with a model-driven design method that spans both the design-time phase and the run-time phase of CPS. At design-time, reconfigurable components are developed together with compositional models that capture their configurations and the trade-offs they provide considering multiple objectives. Those component are composed into reconfigurable applications deployed onto the system's virtual platforms. Configurations are optimized at run-time using the component models, optimizing system level quality and resource-management objectives.
The PhD student in this position will develop formal models and their semantics, and analysis, synthesis and optimization methods targeting both design and run-time to realize the FitOptiVis objectives. The position is supervised by Dr. Marc Geilen and Prof.dr.ir. Twan Basten.
We are looking for highly motivated candidates with good English proficiency. Candidates need to have obtained a relevant master degree (Computer Engineering, Informatics or Computer Sciences, Electrical Engineering - ideally with focus on Embedded Systems or Cyber Physical Systems) with excellent grades.
The PhD position has the following specific requirements: