Open PhD Position

The NetEcon Group led by Dr. Sergey Gorinsky at IMDEA Networks Institute solicits applications for a PhD Student position at the intersection of content caching and machine learning. The student will contribute to the project that enables Internet content delivery with ultra-low latency via a large hierarchical system of distributed cache servers. The research will involve development and application of machine-learning techniques such as reinforcement learning. The student will work on feature design, model training, trace-driven evaluation against state-of-the-art heuristics, and implementation of algorithms for placement and management of cache servers. The project is an ongoing collaboration with the world's leading experts in Content Delivery Networks (CDNs) and utilizes production traces from a major CDN.

IMDEA Networks Institute is a networking research institute with a multinational team engaged in cutting-edge science. As a prominent English-speaking institute located in Madrid, IMDEA Networks offers both a unique opportunity for pioneering researchers to develop their ideas and an exceptionally high quality of living in the Spanish capital. Our PhD Students hold salaried positions for up to five years in the institute and formally earn their PhD degrees at top international universities.

An ideal applicant has the following profile:

  • Master's degree in computer science or a related field;
  • Excellent academic transcripts;
  • Strong command of verbal and written English;
  • Solid background in mathematics, algorithm design, machine learning, and hands-on programming;
  • Passionate interest in a lifelong research career.

This selection process places an explicit priority on improving gender balance in science and technology. Qualified female candidates are strongly encouraged to apply.

Dr. Sergey Gorinsky will supervise the position. For more information about this opportunity, feel free to contact him at

To apply, please fill out this ONLINE FORM and identify Sergey Gorinsky as the preferred supervisor. The deadline for receipt of applications is 31 July 2019 (14:00 CEST).