Our client combines research and industrial innovation to transform businesses and society. As part of a global R&D network, the business operates a multidisciplinary centre focused on advancing research and innovation with dedicated professionals achieving meaningful, human-centred outcomes. We are now seeking a Principal Researcher to develop advanced technology in AI Security and Smart Data Governance (such as International and EU Data Spaces) critical for today’s data-driven world. 4K car allowance, bonus and excellent benefits package. Annual bonus of between 10% to 15% of annual salary You will be a confident Principal Researcher with an academic degree (ideally a PhD or at least a Master’s) in a relevant field, along with deep expertise in one or more areas including AI, machine learning, or security. Proficiency in one or more programming languages (preferably Python, Java, and associated libraries) Proven ability to facilitate and manage projects, motivating and leading customers to jointly develop proof-of-concept and technological proposals Experience contributing to or leading standardization and rule-making activities within data space consortia (e.g., Knowledge of technologies related to data exchange and interoperability, data security, and digital product passports A strong track record of publishing research papers and filing patents As a Principal Researcher and as part of a global research team, you will be responsible for providing technical leadership and collaborating closely with global R&D teams to develop cybersecurity and trust technologies. The outcomes of your research will be published at top conferences and contribute to the organisation’s business efforts. Leading research and development efforts in areas such as data security, data governance, DID/VC, and AI systems Leading standardization activities for business application software, services, or processes (e.g., Digital Product Passport, Circular Economy) related to the solutions Building and nurturing relationships with companies, driving consortia related to data spaces (e.g., Medical Insurance (subsidised) Pension Plan Life insurance