Aalto Data-Intensive System group is seeking full-time doctoral and postdoctoral researchers in scalable machine learning systems and distribute data-intensive systems. Due to the large volume of applications, I am not able to reply all candidates. But I promise to carefully go over each application. Thanks!
[About the group] We conduct research on efficient data-intensive systems that translate data into value for decision making. The scope of our research spans across multiple subfields, from scalable data-centric machine learning systems to distributed data stream management systems, as well as code optimization techniques. That is to answer the question “how to co-design multiple layers of the software stack to improve scalability, performance, and energy efficiency of ML systems”. Our long-term goal is to explore and understand the fundamental connections between data management and modern ML systems to make decision-making more transparent, robust and efficient. Please find more details in our research statement.
We have Research Fellow and Postdoctoral Fellow Positions funded by The Helsinki Institute for Information Technology (HIIT). Please find details here.
Successful applicants will conduct impactful research in the field of data-intensive systems and their applications, publish research results in top-tier conferences, and collaborate with other researchers and visit world-leading research groups and industry labs within our international network (e.g., Imperial College, TUM, MPI-SWS, HU Berlin, NUS, Uni Edinburgh, AWS, Huawei, etc).Previously, we had the pleasure to work with following students Marcel Wagenländer, Alessandro Fogli, Jinnan Guo, and Mustapha Abdullahi.
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