Computer Science Postdoctoral Fellowship - Scientific Data Management-75051
The Scientific Data Management Research Group at Lawrence Berkeley National Laboratory has an immediate opening for a post-doctoral researcher to analyze time-series data from network traffic and related computer science problems. The project investigates and models a general-purpose, reusable and expandable network performance estimation framework to improve the efficiency of resource utilization and scheduling and scientific data transfer management on high-speed networks. The predictive estimation model and the framework will be helpful in optimizing the performance and utilization of fast networks as well as sharing resources with predictable performance for scientific collaborations, especially in data intensive applications. Empirical network performance estimation would be able to provide predictive estimation for a future time window, together with some probabilistic variability estimate. PhD degree in computer science, applied mathematics, statistics or a related technical field is required. The candidate is expected to to work independently and collaboratively in a diverse interdisciplinary team, and to have excellent written and oral communication skills. More details can be found, and apply within http://jobs.lbl.gov with Job ID 75051 (or click on the link: https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=75051) -- -- Alex SDM, CRD, LBNL _______________________________________________ IEEE Communications Society Tech. Committee on Computer Communications (TCCC) - for discussions on computer networking and communication. [email protected] https://lists.cs.columbia.edu/cucslists/listinfo/tccc
