Research Assistant in Applied Adversarial Machine Learning

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Institute for Communication Systems
Location:  Guildford
Salary:  £32,982 to £34,980 per annum
Post Type:  Full Time
Closing Date:  23.59 hours BST on Sunday 28 April 2024
Interview Date:  Friday 03 May 2024
Reference:  017124

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. 

We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.  

Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.  

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: [email protected] ).

For more information and to apply online, please download the further details and click on the 'apply online' button above.
In return we offer a generous pension, relocation assistance where appropriate , flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.

Click here to find out more about the benefits we offer to support you.

The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all.  We place great value on diversity and are seeking to increase the diversity within our community.  Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.