PhD position in Distributed Systems – University of Groningen, The Netherlands

Project description

Cloud computing has reached widespread adoption by offering resource flexibility, cost efficiency, and fast deployment. Cloud’s services are provided by warehouse-scale datacenters, consisting of thousands of computer nodes that power public and private clouds and host different services we use daily. As cloud services continue to grow in scale and complexity, the traditional approach to their design needs to evolve. Currently, many computer systems rely on heuristics to make decisions, for example, to decide which resources to allocate for a task. However, with increasing heterogeneity in software applications and hardware platforms, designing effective heuristics is becoming more challenging. Due to the growing heterogeneity as well as the stochastic nature of cloud execution, automating resource management is increasingly important. One promising solution is to use machine learning models to learn resource management strategies by training them with data collected during profiling.

In your research, you will focus on suing machine-learning techniques to improve distributed systems management. You will research and gain in-depth understanding of the current challenges with networked systems. Additionally, you will have the chance to advance your knowledge of machine learning techniques.

Here, you can find further details regarding qualifications, employment terms, and the organization.

How to apply

You may apply for this position until 31 of May 2023 23.59 Dutch local time (CET) through https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S000A4JP&cat=wp.

To apply for this position, please submit a complete CV and a motivation letter. You should state your BSc and MSc university names and GPAs, as well as any awards, distinctions, or publications within your motivation letter. Please feel free to make informal requests about the position to the following contact person.

Dr. Kawsar Haghshenas
Assistant Professor in Distributed Systems group
Tel: +31 50 36 33939
E-mail: k.haghshenas@rug.nl