Research Assistant in Applied Adversarial Machine Learning

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The role

The Institute for Communication Systems (ICS), home of the 5G/6G Innovation Centre (5G/6GIC), is looking to recruit a research assistant in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving) project.

The D-XPERT project represents a ground-breaking innovation in energy-efficient building management, addressing the pressing challenges posed by energy consumption in the UK and beyond. Developed by DIREK, this cutting-edge solution leverages advanced AI and data analytics to optimise Heating, Ventilation, and Air Conditioning (HVAC) systems and enhance overall energy efficiency. This innovation represents a transformative force in enhancing building energy efficiency and sustainability.

The applicant will work in the area of developing an intrusion detection system and aims to conduct a threat analysis through the data gathered from HVAC systems to preserve the trustful AI of the D-XPERT project architecture and its components. The work will also analyse secure cybersecurity scenarios and establish incident access control procedures

ICS is the largest academic research institute in Europe specialising on all aspects of ICT (Information and Communication Technologies). It is home to over 200 researchers with expertise in all communication and broadcasting systems and has developed the best in class large scale testbeds for research and innovation and enjoys the state of the art lab and computing facilities.
 
5G/6GIC established in 2012, is the world’s first dedicated centre in researching end-to-end aspects of 5G and works closely with national and international leading academic institutes and key industrial partners.

About you

Applicants should have a graduate degree related to network/computer sciences or engineering with a specialisation in cyber security/applied AI/ML. Good simulation skills for proof of concept and programming skills are required for the realisation of data analysis. Research/Practical experience in related areas would be an advantage.
 
The successful candidate will be joining a very strong and vibrant research team and will be supported by academic staff and PhD students working on the programme, although he/she will be expected to coordinate as well as contribute to the research.

How to apply

Please apply on the University website, submit your CV and cover letter with your application. For informal enquiries please contact: Dr Mohammad Shojafar, email: m.shojafar@surrey.ac.uk).

Further details:   

For more information and to apply online, please download the further details and click on the 'apply online' button above.

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