1 GRADUATE RESEARCHER

Principal tasks and duties:

Study of proposals and research work on Machine Learning and Deep Learning

(ML/DL) techniques that are applicable to multiple tactical domains in cyber

defence environments, with special emphasis on reliable Artificial Intelligence

(AI) techniques.

Innovative proposals for AI systems capable of training and evaluating reliable

ML and DL models for the identification of cyber threats in real time, making use

of large amounts of data collected from multiple sources of different nature.

Design and implementation of solutions capable of instantiating real-time cyber

threat mitigation mechanisms, by considering the requirements and needs of

cyber defence domains.

Creation and processing of datasets containing cyber threat information in

cyber defence environments, deployed by using virtualisation techniques for

their emulation.

Development of proofs of concept integrating the different developed cyber

threat detection and reaction mechanisms incorporated in solutions based on

intelligent ML and DL techniques. The results obtained will be used to validate

the Key Performance Indicators (KPIs) of the developed tests.

Dissemination of the results obtained in conferences and articles in high-impact

journals.

Qualification required for eligibility for the selection process (generic): Bachelor’s, Architecture, Engineering, Degree or Master’s Degree

1.- Name of the line of research in regard to which the contract is established - Reference or

identification code. Cyber defence

2.- Principal researcher/s Manuel Gil Pérez Department: Information and Communications Engineering

3.- Project assigned to the line of research covering the contract.

Title European Framework and Proofs-of-Concept for the Intelligent Automation of Cyber Defence Incident Management (EUGUARDIAN) Funding organisation European Commission in the framework of the EDF Programme Grant Agreement 101103044 Reference EDF-2021-CYBER-R-2

Principal Investigator Manuel Gil Pérez

JUSTO No. 38016

Place of work: Pleiades Multidisciplinary Research Center