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Internship in Machine Learning for Computer Systems

Applications are invited for an internship position at the IMDEA Software Institute in Madrid, Spain.

The successful candidates will join the research lab under the supervision of Dr. Thaleia Dimitra Doudali.

The internship project will contribute to the lab’s current work on analyzing cloud resource usage across time and exploring a mix of traditional and machine learning methods for time series forecasting. Goal of this project is to develop a robust forecasting model, fully integrate it into cloud resource management systems, such as Kubernetes, and evaluate it against existing approaches. The intended outcomes of the internship are the open sourcing of the developed software and a research paper publication of the project at a workshop or conference venue.

Who should apply?

The position requires good programming and problem solving skills and proficiency in spoken and written English. A background on machine learning and operating systems (course work, coding experience etc.) is highly desirable. This is a great opportunity for graduating students who consider future PhD studies and want to get hands-on research experience. The project can be shaped in the scope of a thesis (e.g., Masters).

Working at IMDEA Software

The IMDEA Software Institute is ranked among the best European research institutes in computer science. The institute provides an internationally competitive stipend and support for research related travel. The working language at the institute is English. Knowledge of Spanish is not required.


The position has a duration of 6 months. The starting date is flexible, starting from January 2024.

Deadline for applications is November 26th, 2023. Review of applications will begin immediately, and continue until the position is filled.

How to apply?

Applicants interested in the position should submit their application at selecting option Intern and reference code 2023-10-intern-sysml.

For enquiries about the position, please contact Thaleia Dimitra Doudali directly ().