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Dr. Yiting Xia at Max Planck Institute for Informatics (MPI-INF) is hiring a PhD student on computer networks and systems. This position is fully funded and located in Saarbrücken, Germany. The program is English-based. Dr. Xia is a tenure-track faculty (equivalent to assistant professor) at MPI-INF, where she leads the network and cloud systems research group. Her work is to build network infrastructure and software systems for the future cloud environment shaped by emerging applications such as machine learning and IoT. Her previous work was published at top conferences including SIGCOMM, NSDI, INFOCOM, HotNets, ICNP, etc. She was a research scientist at Facebook before joining MPI-INF. She has rich production experience and close collaborations with the industry. Please refer to https://sites.google.com/view/yitingxia/ for more information. MPI is the most prestigious government-funded research institute in Germany. It has a world-leading reputation in fundamental, applied, and social sciences. Recent examples are the Nobel Prize winners in 2020 and 2021. MPI-INF is at the regional tech hub, on the same campus with several other research institutes featuring computer science research, including Max Planck Institute for Software Systems (MPI-SWS), German Research Center for Artificial Intelligence, and Helmholtz Center for Information Security. MPI-INF has the tradition of collaborating with these local resources and other top universities and research institutes in Europe and the US. Saarbrücken is a small cozy city in western Germany at the French border. It is located centrally in Europe, with a short distance to many world-class travel destinations, e.g., 2 hours away from Paris, 1.5 hours from Luxembourg, 1.5 hours from Frankfurt, 3.5 hours from Zurich, etc. It is surrounded by many scenic towns in Germany and France, making weekend trips very convenient. The details of this position are as follows. If you are interested, please apply at https://www.imprs-trust.mpg.de/phd-application and mention Dr. Yiting Xia as the prospective advisor. Position: PhD student on computer network and systems The landscape of cloud computing is evolving rapidly driven by emerging applications such as machine learning and IoT. It is time to rethink the design of cloud systems to support these applications. We are interested in exploring two directions: (1) cross-layer design of data center networks and cloud systems to accelerate distributed machine learning; and (2) leveraging programmable network components, such as programmable switches and smart NICs, to enable better performance and manageability of the cloud infrastructure. The candidate should have taken some courses related to computer systems and have strong programming skills to implement distributed systems. Knowledge about machine learning is a plus.

【博士招生|马普所】Hiring: PhD position on computer network