Research Fellow in Applied Adversarial Machine Learning

Job title:

Research Fellow in Applied Adversarial Machine Learning

Company

University of Surrey

Job description

Job Information Organisation/CompanyUNIVERSITY OF SURREY Research FieldComputer science Researcher ProfileFirst Stage Researcher (R1) CountryUnited Kingdom Application Deadline23 May 2024 – 00:00 (UTC) Type of ContractPermanent Job StatusFull-time Is the job funded through the EU Research Framework Programme?Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure?NoOffer DescriptionInstitute for Communication SystemsLocation: GuildfordSalary: £40,521 per annumPost Type: Full TimeClosing Date: 23.59 hours BST on Thursday 23 May 2024Interview Date: To be confirmedReference: 022324The 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 roleThe Institute for Communication Systems (ICS), home of the 5G/6G Innovation Centre (5G/6GIC), is looking to recruit a Research Fellow 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 proceduresICS 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 youApplicants 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 applyPlease apply on the University website, submit your CV and cover letter with your application. For informal enquiries please contact: Dr Mohammad Shojafar, email: ).Further details:Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (£34,980) to successful applicants who have been awarded, but are yet to receive, their PhD certificate. Once the original PhD certificate has been submitted to the local HR Department, the salary will be increased to Level 4.1 (£36,024).RequirementsAdditional InformationWork Location(s)Number of offers available 1 Company/Institute UNIVERSITY OF SURREY Country United Kingdom City Guildford GeofieldWhere to apply WebsiteContact CityGuildfordSTATUS: EXPIRED

Expected salary

£40521 per year

Location

Guildford, Surrey

Job date

Sun, 19 May 2024 22:29:38 GMT

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