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Software has shaped every aspect of our modern lives. Ensuring that software is correct and secure, is both a major scientific challenge and an enterprise with enormous social relevance. Would you like to contribute to world-leading research on the use of models for design and analysis of software? Then you have a part to play as a PhD candidate in software technology.
The Software Technology Group is looking for an enthusiastic and outstanding PhD candidate in computer science or mathematics with a strong background in at least one of the following areas: programming languages, compiler technology, code generation, runtime systems, high-performance computing, parallel computing, or low-power computing.
As a PhD candidate in the Software Technology Group, you will actively contribute to the research group's activities while spearheading in your chosen research topic. You will demonstrate the feasibility of your ideas in the context of open-source projects and present your ideas on international conferences and journals. If possible, you will also demonstrate your work to our industrial partners. Last but not least, you will be involved in contributing a modest proportion of your time (approximately 10%) to teaching.
Fixed-term contract: you will be appointed for an initial period of 18 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 2.5 years (4 year contract) or 3.5 years (5 year contract).
Swarm Computing refers to the idea of being able to, from a single source, perform programming, controlling, and computation on a dynamic and hybrid collection of computational units varying from CPUs, GPUs, FPGAs, TPUs, to IoT devices. Currently, we are particularly interested in Swarm Computing for sustainable IoT utilisation. Please contact Pieter Koopman for details.
In Low-Energy High-Performance Computing, we are interested in the generation of code for swarm computing systems aiming for unprecedented levels of efficiency in terms of both, runtime and energy efficiency. This includes mainstream accelerators such as GPUs and FPGAs as well as novel architectures such as Cerebras' new architecture. This work will contribute to the new TEN-X initiative. Please contact Sven-Bodo Scholz for details.
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