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[交流]
瑞典于默奧大學招聘博士后（實時嵌入式系統(tǒng)， 機器學習方向）
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1) postdoc (2 years) in machine learning and embedded systems this project addresses real-time execution of concurrent multi-dnn workloads. deep neural networks (dnn) are widely deployed in resource-constrained embedded devices with limited processing and storage capabilities. there are many industry frameworks for supporting efficient dnn inference on resource-constrained embedded devices, but they do not address concurrent execution of multiple dnns. multi-dnn workloads bring additional challenges of resource contention due to sharing of common pus, and requires novel scheduling and coordination algorithms to ensure qos (quality-of-service) for each dnn in a multi-dnn workload. 2) postdoc (2 years) in real-time systems this project addresses the general area of real-time embedded systems. research topics include real-time scheduling theory, mixed-criticality systems, real-time multicore systems, real-time systems design, probabilistic timing analysis, safety and security issues, etc, with applications in safety-critical autonomous systems such as autonomous driving. the specific topic will be determined by considering both the applicant’s research background and project requirements. please contact prof. gu at zonghua.gu @ umu.se with your resume. |
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