- study the state of the art on machine learning algorithms for network traffic analysis; - study the state of the art on complexity reduction of neural networks; - devise methods for speeding up the inference of ML algorithms; - study the viability of incremental training with continuous flows of network traffic; - implement algorithms in a platform for network traffic analysis; - evaluate the system in the proposed problems; - develop an MSc dissertation; - draft a scientific paper proposal.
Degree in Computer Science, Informatics, systems Engineering or similar area
Minimum profile required
- final degree grade of 15 (in a 0 to 20 scale);- knowledge of machine learning and computer networks, proven by university academic curriculum or participation in research projects.
- knowledge on communication networks; - experience with machine learning algorithms, especially learning from data streams; - experience in research projects in the area of artificial intelligence.
Since 26 Jan 2022 to 16 Feb 2022
Cluster / Centre
Computer Science / Artificial Intelligence and Decision Support