The aim is to address the challenges of processing large-scale time series collections that arise from real-world applications. Large-scale time series datasets are now encountered in nearly every scientific and social domain. The person will design and implement a collection of algorithms, data structures, and mechanisms to tackle the scalability problem in the analysis of massive time series data, leveraging modern and emerging hardware technologies. The algorithms, data structures, and mechanisms developed will form a powerful library, thus ensuring their easy and efficient use by a wide range of applications whose performance heavily relies on the effective processing of large-scale time series data.