The Role This Research Engineer role sits within The Alan Turing Institute s Defence and National Security programme and focuses on designing, building and evaluating LLM-driven agentic systems to strengthen the cyber resilience of critical national infrastructure, particularly legacy operational technology and industrial control systems that cannot easily be patched or upgraded. The postholder will develop autonomous hardening and monitoring capabilities, create realistic digital twin and simulation environments, run robust large-scale evaluations, and produce high-quality research software, technical outputs, and publications, while working closely with multidisciplinary experts across AI, cyber security and critical systems. It s a highly applied research role suited to someone excited by combining machine learning, software engineering and cyber security to solve complex real-world resilience challenges with national importance. Your Profile We re looking for a technically strong and collaborative research engineer with a solid grounding in AI, machine learning, cyber or information security, computer science, engineering, or a related field, ideally educated to Master s level or with equivalent experience. The ideal candidate will bring hands-on experience building LLM-powered agentic or tool-calling systems, strong scientific software development skills in Python and related frameworks and a track record of delivering practical research or engineering outputs with measurable impact. They ll be comfortable working across disciplines, communicating complex ideas clearly to both technical and non-technical audiences and operating with a high degree of autonomy while contributing positively to a team environment. Experience with network security, cyber-physical systems, virtualisation, OT/ICS environments and research publications would be especially valuable, as would a thoughtful, evidence-led approach and eligibility for Security Check clearance. How You Will Make an Impact Collaboratively design, build and maintain agentic, AI systems and evaluation suites that support CNI cyber resilience and legacy software hardening against known vulnerabilities. Develop virtualisation based digital twin environments and implement techniques for assuring operational continuity in the context of CNI. Develop realistic virtualised environments with legacy OT/ICS hosts, including legacy operating system instances running OT/ICS control software and with representative OT protocol traffic. Contribute to high-quality collaborative research as part of the Turing s CNI resilience mission. Develop CNI-relevant scenarios with clear threat models, operational continuity criteria, and defensible assumptions; document limitations and known failure modes explicitly. Implement reproducible evaluation pipelines: configuration-driven runs, dataset/version management, baseline implementations and auditable reporting outputs. Develop and validate metrics and scoring methods. Carry out analysis that supports credible interpretation of results (failure case analysis, ablations and sensitivity checks). Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. Your covering letter should focus on the following: Your motivation for applying for this role An overview of your experience developing software in a scientific computing context Publication list (if not covered in CV) If you have questions about the role or would like to apply using a different format, please contact us at . CLOSING DATE FOR APPLICATIONS: SUNDAY 12 APRIL :59 (LONDON, UK BST) Terms and Conditions This post is offered on a full time, fixed-term basis until 31 March 2027. The annual salary is £45,505 - £51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance The successful candidate may be required to undergo a pre-screening check prior to an offer being made. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Many roles in the Defence and National Security Programme require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK or a NATO country depending on the vetting level required for the role, to allow for meaningful security vetting checks, amongst other factors. These roles are subject to security restrictions by Turing s partners. The restrictions mean that factors such as your nationality, any nationalities you may have previously held, your foreign connections, and your place of birth can restrict your eligibility to perform the role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check whether they are eligible to apply for SC clearance before applying to this role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to advise us how we can assist you. Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check. Full details on the pre-employment screening process can be requested from .
Apr 13, 2026
Full time
The Role This Research Engineer role sits within The Alan Turing Institute s Defence and National Security programme and focuses on designing, building and evaluating LLM-driven agentic systems to strengthen the cyber resilience of critical national infrastructure, particularly legacy operational technology and industrial control systems that cannot easily be patched or upgraded. The postholder will develop autonomous hardening and monitoring capabilities, create realistic digital twin and simulation environments, run robust large-scale evaluations, and produce high-quality research software, technical outputs, and publications, while working closely with multidisciplinary experts across AI, cyber security and critical systems. It s a highly applied research role suited to someone excited by combining machine learning, software engineering and cyber security to solve complex real-world resilience challenges with national importance. Your Profile We re looking for a technically strong and collaborative research engineer with a solid grounding in AI, machine learning, cyber or information security, computer science, engineering, or a related field, ideally educated to Master s level or with equivalent experience. The ideal candidate will bring hands-on experience building LLM-powered agentic or tool-calling systems, strong scientific software development skills in Python and related frameworks and a track record of delivering practical research or engineering outputs with measurable impact. They ll be comfortable working across disciplines, communicating complex ideas clearly to both technical and non-technical audiences and operating with a high degree of autonomy while contributing positively to a team environment. Experience with network security, cyber-physical systems, virtualisation, OT/ICS environments and research publications would be especially valuable, as would a thoughtful, evidence-led approach and eligibility for Security Check clearance. How You Will Make an Impact Collaboratively design, build and maintain agentic, AI systems and evaluation suites that support CNI cyber resilience and legacy software hardening against known vulnerabilities. Develop virtualisation based digital twin environments and implement techniques for assuring operational continuity in the context of CNI. Develop realistic virtualised environments with legacy OT/ICS hosts, including legacy operating system instances running OT/ICS control software and with representative OT protocol traffic. Contribute to high-quality collaborative research as part of the Turing s CNI resilience mission. Develop CNI-relevant scenarios with clear threat models, operational continuity criteria, and defensible assumptions; document limitations and known failure modes explicitly. Implement reproducible evaluation pipelines: configuration-driven runs, dataset/version management, baseline implementations and auditable reporting outputs. Develop and validate metrics and scoring methods. Carry out analysis that supports credible interpretation of results (failure case analysis, ablations and sensitivity checks). Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. Your covering letter should focus on the following: Your motivation for applying for this role An overview of your experience developing software in a scientific computing context Publication list (if not covered in CV) If you have questions about the role or would like to apply using a different format, please contact us at . CLOSING DATE FOR APPLICATIONS: SUNDAY 12 APRIL :59 (LONDON, UK BST) Terms and Conditions This post is offered on a full time, fixed-term basis until 31 March 2027. The annual salary is £45,505 - £51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance The successful candidate may be required to undergo a pre-screening check prior to an offer being made. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Many roles in the Defence and National Security Programme require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK or a NATO country depending on the vetting level required for the role, to allow for meaningful security vetting checks, amongst other factors. These roles are subject to security restrictions by Turing s partners. The restrictions mean that factors such as your nationality, any nationalities you may have previously held, your foreign connections, and your place of birth can restrict your eligibility to perform the role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check whether they are eligible to apply for SC clearance before applying to this role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to advise us how we can assist you. Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check. Full details on the pre-employment screening process can be requested from .
The Role We are seeking an AI Security Research Scientist to join The Alan Turing Institute s Defence & National Security team, helping to strengthen the robustness, reliability, and resilience of AI systems used in high stakes environments. This is an exciting opportunity for a mathematically strong researcher to apply advanced modelling, optimisation, statistical, numerical and experimental skills to cutting-edge AI security challenges, working closely with researchers, engineers and external partners to turn innovative ideas into practical capabilities. The role would suit someone with a PhD or equivalent experience in a highly quantitative field, strong programming skills and the ability to work from first principles, learn quickly and communicate complex research clearly. Prior experience in machine learning or AI security is welcome but not essential, and eligibility for Developed Vetting (DV) clearance is required. Your Profile We are looking for a highly analytical researcher with a strong grounding in applied mathematics or a similarly quantitative discipline, backed by a PhD or equivalent experience involving advanced algorithmic, statistical or numerical methods and computer programming. The ideal candidate will be fluent in one or more modern data science languages, able to communicate research clearly through technical outputs and confident working independently while collaborating effectively with others. They will be someone who learns quickly, thinks from first principles and is excited by the challenge of applying rigorous mathematical and experimental thinking to complex AI security problems. Experience in areas such as optimisation, robustness, verification, deep learning, cybersecurity or AI red teaming would be an advantage, but just as important is the ability to move comfortably between theory, modelling and experimentation, engage with technical and non-technical stakeholders and meet the eligibility requirements for Developed Vetting (DV) clearance. How You'll Make an Impact Adapt, assess, and extend existing research (from within the Institute and beyond) to understand how it behaves in realistic operational settings. Formulate research questions that make novel ideas testable, measurable, and actionable for partners. Design and run rigorous deep learning and AI security experiments - from robustness and adversarial evaluations to interpretability studies and stress-testing emerging methods. Generate insights: analyse results, identify failure modes, characterise risks, and evaluate whether a method is ready to progress toward real-world use. Prototype and iterate on new approaches, working closely with Research Engineers to ensure experiments are rigorous, reproducible, and well implemented. Translate findings into technical reports, presentations, demonstrations, and early-stage capabilities that inform partners operational decisions. Contribute to the wider research community, sharing knowledge internally, participating in discussions, and contributing where appropriate to publications and open-source outputs. Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV (maximum 3 pages, no photo) and covering letter (maximum 2 pages). As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the following information as part of your cover letter: Your current nationality Your nationality at birth Other nationality (include dual nationality if applicable) Confirmation that you have been residing in the UK for the past 5 years (if you haven t, please provide details of when and where you resided and the reason) Country where you were born. County in which you were born. Town where you were born. Please note, if these details are not provided, we will be unable to progress with your application for this role. If you wish to share links to blog posts, public code repositories or research papers containing work that you have made significant contribution to, please add a link to those in your cover letter. For questions about the role and the recruiting process please get in touch with us at . If you would like to apply using a different format, please contact the Recruitment team. CLOSING DATE FOR APPLICATIONS: SUNDAY 26 APRIL 2026 AT 23:59 (LONDON, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £45,505-£51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance Eligibility for Developed Vetting (DV) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check if they are eligible for DV clearance before applying to this role. The successful candidate will be required to undergo a pre-screening check. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Many roles in the Defence and National Security Programme require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK or a NATO country depending on the vetting level required for the role, to allow for meaningful security vetting checks, amongst other factors. These roles are subject to security restrictions by Turing s partners. The restrictions mean that factors such as your nationality, any nationalities you may have previously held, your foreign connections, and your place of birth can restrict your eligibility to perform the role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you. Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check. Full details on the pre-employment screening process can be requested from .
Apr 13, 2026
Full time
The Role We are seeking an AI Security Research Scientist to join The Alan Turing Institute s Defence & National Security team, helping to strengthen the robustness, reliability, and resilience of AI systems used in high stakes environments. This is an exciting opportunity for a mathematically strong researcher to apply advanced modelling, optimisation, statistical, numerical and experimental skills to cutting-edge AI security challenges, working closely with researchers, engineers and external partners to turn innovative ideas into practical capabilities. The role would suit someone with a PhD or equivalent experience in a highly quantitative field, strong programming skills and the ability to work from first principles, learn quickly and communicate complex research clearly. Prior experience in machine learning or AI security is welcome but not essential, and eligibility for Developed Vetting (DV) clearance is required. Your Profile We are looking for a highly analytical researcher with a strong grounding in applied mathematics or a similarly quantitative discipline, backed by a PhD or equivalent experience involving advanced algorithmic, statistical or numerical methods and computer programming. The ideal candidate will be fluent in one or more modern data science languages, able to communicate research clearly through technical outputs and confident working independently while collaborating effectively with others. They will be someone who learns quickly, thinks from first principles and is excited by the challenge of applying rigorous mathematical and experimental thinking to complex AI security problems. Experience in areas such as optimisation, robustness, verification, deep learning, cybersecurity or AI red teaming would be an advantage, but just as important is the ability to move comfortably between theory, modelling and experimentation, engage with technical and non-technical stakeholders and meet the eligibility requirements for Developed Vetting (DV) clearance. How You'll Make an Impact Adapt, assess, and extend existing research (from within the Institute and beyond) to understand how it behaves in realistic operational settings. Formulate research questions that make novel ideas testable, measurable, and actionable for partners. Design and run rigorous deep learning and AI security experiments - from robustness and adversarial evaluations to interpretability studies and stress-testing emerging methods. Generate insights: analyse results, identify failure modes, characterise risks, and evaluate whether a method is ready to progress toward real-world use. Prototype and iterate on new approaches, working closely with Research Engineers to ensure experiments are rigorous, reproducible, and well implemented. Translate findings into technical reports, presentations, demonstrations, and early-stage capabilities that inform partners operational decisions. Contribute to the wider research community, sharing knowledge internally, participating in discussions, and contributing where appropriate to publications and open-source outputs. Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV (maximum 3 pages, no photo) and covering letter (maximum 2 pages). As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the following information as part of your cover letter: Your current nationality Your nationality at birth Other nationality (include dual nationality if applicable) Confirmation that you have been residing in the UK for the past 5 years (if you haven t, please provide details of when and where you resided and the reason) Country where you were born. County in which you were born. Town where you were born. Please note, if these details are not provided, we will be unable to progress with your application for this role. If you wish to share links to blog posts, public code repositories or research papers containing work that you have made significant contribution to, please add a link to those in your cover letter. For questions about the role and the recruiting process please get in touch with us at . If you would like to apply using a different format, please contact the Recruitment team. CLOSING DATE FOR APPLICATIONS: SUNDAY 26 APRIL 2026 AT 23:59 (LONDON, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £45,505-£51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance Eligibility for Developed Vetting (DV) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check if they are eligible for DV clearance before applying to this role. The successful candidate will be required to undergo a pre-screening check. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Many roles in the Defence and National Security Programme require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK or a NATO country depending on the vetting level required for the role, to allow for meaningful security vetting checks, amongst other factors. These roles are subject to security restrictions by Turing s partners. The restrictions mean that factors such as your nationality, any nationalities you may have previously held, your foreign connections, and your place of birth can restrict your eligibility to perform the role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you. Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check. Full details on the pre-employment screening process can be requested from .
The Role We are looking for an AI Security Research Engineer to join The Alan Turing Institute s Defence & National Security team, helping to bridge the gap between cutting-edge research and robust technical delivery. This role will focus on designing and running rigorous, reproducible experiments, building high-quality prototypes and research tooling, and evaluating AI systems for security, robustness, reliability and adversarial behaviour. Working closely with researchers and external partners, the postholder will combine strong software engineering skills with curiosity about how modern AI systems behave under stress, helping turn innovative ideas into reliable, extensible technical solutions with real-world impact. Your Profile We re looking for a technically strong and rigorous research engineer who combines excellent software engineering fundamentals with a real interest in how modern AI systems behave in practice, particularly under stress, attack or failure conditions. The ideal candidate will be confident working with programming languages used in data science, experienced in structuring and analysing research data or computational experiments, and comfortable operating both independently and collaboratively in a research-driven environment. They will care about clean, well-tested, reproducible work, communicate effectively with both technical and non-technical audiences, and bring a thoughtful, problem-solving mindset to real-world security challenges. Experience in deep learning, interpretability, AI security, red teaming or cybersecurity would be beneficial, but the strongest fit is someone with solid technical foundations, curiosity, and the ability to turn ideas into reliable technical outputs. Eligibility for DV clearance is essential. How You'll Make an Impact Co-design experiments with researchers, ensuring methodological rigour, appropriate controls, robust evaluation design, and reproducibility. Prototype new ideas quickly and robustly, developing research code that is clean, traceable, and ready for iteration and extension. Adapt, assess, and extend existing research (from within the Institute and beyond) to understand how it behaves in realistic settings. Evaluate models for robustness, security and reliability - including adversarial behaviour, red teaming performance, interpretability signals, and other security relevant properties. Design and develop experimental infrastructure, including pipelines for training, evaluation, adversarial testing, and automated results tracking. Ensure reproducibility and scientific rigour, using strong software engineering practices: testing, version control, CI, environment management, and documentation. Work across disciplines to turn research findings into shareable artefacts and early-stage capabilities for partners. Communicate clearly with researchers, engineers, and operational stakeholders through demonstrations, documentation, and technical discussions. Able to communicate clearly with both technical and non-technical stakeholders and across disciplines with colleagues Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV (maximum 3 pages, no photo) and covering letter (maximum 2 pages). As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the following information as part of your cover letter: Your current nationality Your nationality at birth Other nationality (include dual nationality if applicable) Confirmation that you have been residing in the UK for the past 5 years (if you haven t, please provide details of when and where you resided and the reason) Country where you were born. County in which you were born. Town where you were born. Please note, if these details are not provided, we will be unable to progress with your application for this role. If you wish to share links to blog posts, public code repositories or research papers containing work that you have made significant contribution to, please add a link to those in your cover letter. For questions about the role and the recruiting process please get in touch with us at . If you would like to apply using a different format, please contact the Recruitment team. CLOSING DATE FOR APPLICATIONS: SUNDAY 26 APRIL 2026 AT 23:59 (LONDON, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £45,505-£51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance Eligibility for Developed Vetting (DV) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check if they are eligible for DV clearance before applying to this role. The successful candidate will be required to undergo a pre-screening check. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Many roles in the Defence and National Security Programme require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK or a NATO country depending on the vetting level required for the role, to allow for meaningful security vetting checks, amongst other factors. These roles are subject to security restrictions by Turing s partners. The restrictions mean that factors such as your nationality, any nationalities you may have previously held, your foreign connections, and your place of birth can restrict your eligibility to perform the role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you. Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check. Full details on the pre-employment screening process can be requested from .
Apr 13, 2026
Full time
The Role We are looking for an AI Security Research Engineer to join The Alan Turing Institute s Defence & National Security team, helping to bridge the gap between cutting-edge research and robust technical delivery. This role will focus on designing and running rigorous, reproducible experiments, building high-quality prototypes and research tooling, and evaluating AI systems for security, robustness, reliability and adversarial behaviour. Working closely with researchers and external partners, the postholder will combine strong software engineering skills with curiosity about how modern AI systems behave under stress, helping turn innovative ideas into reliable, extensible technical solutions with real-world impact. Your Profile We re looking for a technically strong and rigorous research engineer who combines excellent software engineering fundamentals with a real interest in how modern AI systems behave in practice, particularly under stress, attack or failure conditions. The ideal candidate will be confident working with programming languages used in data science, experienced in structuring and analysing research data or computational experiments, and comfortable operating both independently and collaboratively in a research-driven environment. They will care about clean, well-tested, reproducible work, communicate effectively with both technical and non-technical audiences, and bring a thoughtful, problem-solving mindset to real-world security challenges. Experience in deep learning, interpretability, AI security, red teaming or cybersecurity would be beneficial, but the strongest fit is someone with solid technical foundations, curiosity, and the ability to turn ideas into reliable technical outputs. Eligibility for DV clearance is essential. How You'll Make an Impact Co-design experiments with researchers, ensuring methodological rigour, appropriate controls, robust evaluation design, and reproducibility. Prototype new ideas quickly and robustly, developing research code that is clean, traceable, and ready for iteration and extension. Adapt, assess, and extend existing research (from within the Institute and beyond) to understand how it behaves in realistic settings. Evaluate models for robustness, security and reliability - including adversarial behaviour, red teaming performance, interpretability signals, and other security relevant properties. Design and develop experimental infrastructure, including pipelines for training, evaluation, adversarial testing, and automated results tracking. Ensure reproducibility and scientific rigour, using strong software engineering practices: testing, version control, CI, environment management, and documentation. Work across disciplines to turn research findings into shareable artefacts and early-stage capabilities for partners. Communicate clearly with researchers, engineers, and operational stakeholders through demonstrations, documentation, and technical discussions. Able to communicate clearly with both technical and non-technical stakeholders and across disciplines with colleagues Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV (maximum 3 pages, no photo) and covering letter (maximum 2 pages). As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the following information as part of your cover letter: Your current nationality Your nationality at birth Other nationality (include dual nationality if applicable) Confirmation that you have been residing in the UK for the past 5 years (if you haven t, please provide details of when and where you resided and the reason) Country where you were born. County in which you were born. Town where you were born. Please note, if these details are not provided, we will be unable to progress with your application for this role. If you wish to share links to blog posts, public code repositories or research papers containing work that you have made significant contribution to, please add a link to those in your cover letter. For questions about the role and the recruiting process please get in touch with us at . If you would like to apply using a different format, please contact the Recruitment team. CLOSING DATE FOR APPLICATIONS: SUNDAY 26 APRIL 2026 AT 23:59 (LONDON, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £45,505-£51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance Eligibility for Developed Vetting (DV) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check if they are eligible for DV clearance before applying to this role. The successful candidate will be required to undergo a pre-screening check. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Many roles in the Defence and National Security Programme require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK or a NATO country depending on the vetting level required for the role, to allow for meaningful security vetting checks, amongst other factors. These roles are subject to security restrictions by Turing s partners. The restrictions mean that factors such as your nationality, any nationalities you may have previously held, your foreign connections, and your place of birth can restrict your eligibility to perform the role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you. Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check. Full details on the pre-employment screening process can be requested from .
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security (D&NS) theme at the Turing is looking to expand its Applied Research Group (ARG). As a team, ARG applies cutting edge research to real-world problems. Impact takes multiple forms: the fast development of a proof-of-concept to show what s possible; candid technical discussions to highlight what s not; and longer-term projects to deliver bespoke capabilities. Day-to-day, ARG collaborate closely with partners technical and subject-matter experts. The ARG is a cross-disciplinary team therefore able to respond to a wide variety of problem sets and encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. CANDIDATE PROFILE Please note that successful candidates will need to be eligible to undertake the DV clearance process once in-post and be willing to go through this process. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . In terms of the ideal candidate, we encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. You will have demonstrable experience in machine learning and be able to take initiative and carry out research independently. We are looking for candidates with experience in some of the following languages: Python, C, C++, Rust, Go. As well as the relevant technical experience successful candidates will have excellent written and verbal communications skills and the ability to clearly communicate complex or specialist information clearly and concisely. DUTIES AND AREAS OF RESPONSIBILITY Develop, implement and adapt state-of-the-art and novel data science and machine learning techniques to problems faced by ARG's partners. Contribute to high-quality collaborative applied research as part of the ARG, helping translate complex user requirements into deployable solutions. Perform experiments and develop capabilities, which might include building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and visualisations. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform partners decisions and developing high-quality proof-of-concept outputs for real-world deployment. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This post is offered on a full-time fixed term basis until 30 April 2027. The annual salary is £42,593 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The role is based in London and will require some travel to partner-sites. Application procedure Please see our jobs portal for full details on how to apply and the interview process. We request specific information to be included when applying in the cover letter. Our portal goes through this in more detail so please take note of this when applying, or we may not be able to process your application. Closing date is Sunday 19 April at 23:59 (London, UK, BST). Equality Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed . We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Apr 13, 2026
Full time
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security (D&NS) theme at the Turing is looking to expand its Applied Research Group (ARG). As a team, ARG applies cutting edge research to real-world problems. Impact takes multiple forms: the fast development of a proof-of-concept to show what s possible; candid technical discussions to highlight what s not; and longer-term projects to deliver bespoke capabilities. Day-to-day, ARG collaborate closely with partners technical and subject-matter experts. The ARG is a cross-disciplinary team therefore able to respond to a wide variety of problem sets and encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. CANDIDATE PROFILE Please note that successful candidates will need to be eligible to undertake the DV clearance process once in-post and be willing to go through this process. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . In terms of the ideal candidate, we encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. You will have demonstrable experience in machine learning and be able to take initiative and carry out research independently. We are looking for candidates with experience in some of the following languages: Python, C, C++, Rust, Go. As well as the relevant technical experience successful candidates will have excellent written and verbal communications skills and the ability to clearly communicate complex or specialist information clearly and concisely. DUTIES AND AREAS OF RESPONSIBILITY Develop, implement and adapt state-of-the-art and novel data science and machine learning techniques to problems faced by ARG's partners. Contribute to high-quality collaborative applied research as part of the ARG, helping translate complex user requirements into deployable solutions. Perform experiments and develop capabilities, which might include building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and visualisations. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform partners decisions and developing high-quality proof-of-concept outputs for real-world deployment. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This post is offered on a full-time fixed term basis until 30 April 2027. The annual salary is £42,593 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The role is based in London and will require some travel to partner-sites. Application procedure Please see our jobs portal for full details on how to apply and the interview process. We request specific information to be included when applying in the cover letter. Our portal goes through this in more detail so please take note of this when applying, or we may not be able to process your application. Closing date is Sunday 19 April at 23:59 (London, UK, BST). Equality Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed . We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
The Role We are seeking to appoint a Research Associate to work within CETaS. The successful candidate will work across a range of research projects relating to emerging technology and national security, engaging with stakeholders across the UK government, academia and the private sector. They will gain experience in designing and delivering high-quality mixed-methods research for an external audience, and relationship building with senior national security decision-makers. They will contribute directly to high-profile impactful public research reports and will have the opportunity to represent the Turing at various stakeholder engagement activities, such as workshops, conferences and other events. The successful candidate will be a highly motivated, inquisitive and collaborative researcher, who will work closely with researchers from CETaS and other research organisations. The ideal candidate will have a strong track record in delivering research in the field of emerging technology and security. They will have experience of engaging with key decision-makers, and synthesising complex material in an accessible format for a non-expert policy audience. While the position is based in our London office at the British Library, we offer flexible working arrangements with regard to hybrid working (working a blend of in-person vs remotely). The position is available full-time, but we are open to those seeking a four-day arrangement (80% FTE). Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website. Your Profile We want to hear from curious and analytically minded researchers with a strong interest in technology and security, ideally within a policy context. The ideal candidate will have experience in conducting rigorous research, including data driven, statistical, or other quantitative analysis, and will be confident applying academic research methodologies in practical settings. Educated to degree level in a relevant field, or with equivalent experience, we are seeking someone who is building a track record of high quality research outputs, such as academic publications or policy reports. Strong communication skills are essential, with the ability to present complex ideas clearly to both specialist and non specialist audiences and a collaborative team player who works effectively across disciplines and organisational boundaries. It is essential for individuals to be able to achieve UK Security Clearance (SC) once in post. Main Duties Develop, deliver and present high-quality academic research on topics related to emerging technology and national security Articulate the findings and implications of this research to a non-expert policy audience, through various channels, both written and verbal Review and quality control written outputs produced by other researchers, both at the Turing and externally Co-organise CETaS events, such as workshops and conferences, to inform and showcase research findings Support the work of policymakers, regulators and others by providing advice, attending workshops and giving presentations Please see our portal for a full breakdown of the role. Closing date for applications: Thursday 30 April at 23:59 (London, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Term and Conditions This full-time post is offered on a fixed term basis for 1 year, with the possibility of extension following the initial term. The annual salary range is £45,000-50,000 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute Applicants must be based in the UK and be able to travel to the Turing offices in London when required. The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Application Procedure If you are interested in this opportunity, please click the apply button below. It will redirect you to The Alan Turing Institute jobs portal, where you can find more information and a full job description for this role. You will need to register on the applicant portal and complete the application form including your CV and covering letter. If you have questions about the role or would like to apply using a different format, please email Equality, Diversity and Inclusion The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly. We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you.
Apr 13, 2026
Full time
The Role We are seeking to appoint a Research Associate to work within CETaS. The successful candidate will work across a range of research projects relating to emerging technology and national security, engaging with stakeholders across the UK government, academia and the private sector. They will gain experience in designing and delivering high-quality mixed-methods research for an external audience, and relationship building with senior national security decision-makers. They will contribute directly to high-profile impactful public research reports and will have the opportunity to represent the Turing at various stakeholder engagement activities, such as workshops, conferences and other events. The successful candidate will be a highly motivated, inquisitive and collaborative researcher, who will work closely with researchers from CETaS and other research organisations. The ideal candidate will have a strong track record in delivering research in the field of emerging technology and security. They will have experience of engaging with key decision-makers, and synthesising complex material in an accessible format for a non-expert policy audience. While the position is based in our London office at the British Library, we offer flexible working arrangements with regard to hybrid working (working a blend of in-person vs remotely). The position is available full-time, but we are open to those seeking a four-day arrangement (80% FTE). Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website. Your Profile We want to hear from curious and analytically minded researchers with a strong interest in technology and security, ideally within a policy context. The ideal candidate will have experience in conducting rigorous research, including data driven, statistical, or other quantitative analysis, and will be confident applying academic research methodologies in practical settings. Educated to degree level in a relevant field, or with equivalent experience, we are seeking someone who is building a track record of high quality research outputs, such as academic publications or policy reports. Strong communication skills are essential, with the ability to present complex ideas clearly to both specialist and non specialist audiences and a collaborative team player who works effectively across disciplines and organisational boundaries. It is essential for individuals to be able to achieve UK Security Clearance (SC) once in post. Main Duties Develop, deliver and present high-quality academic research on topics related to emerging technology and national security Articulate the findings and implications of this research to a non-expert policy audience, through various channels, both written and verbal Review and quality control written outputs produced by other researchers, both at the Turing and externally Co-organise CETaS events, such as workshops and conferences, to inform and showcase research findings Support the work of policymakers, regulators and others by providing advice, attending workshops and giving presentations Please see our portal for a full breakdown of the role. Closing date for applications: Thursday 30 April at 23:59 (London, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Term and Conditions This full-time post is offered on a fixed term basis for 1 year, with the possibility of extension following the initial term. The annual salary range is £45,000-50,000 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute Applicants must be based in the UK and be able to travel to the Turing offices in London when required. The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Application Procedure If you are interested in this opportunity, please click the apply button below. It will redirect you to The Alan Turing Institute jobs portal, where you can find more information and a full job description for this role. You will need to register on the applicant portal and complete the application form including your CV and covering letter. If you have questions about the role or would like to apply using a different format, please email Equality, Diversity and Inclusion The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly. We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you.
The Role This Research Engineer role sits within The Alan Turing Institute s Defence and National Security programme and focuses on designing, building and evaluating LLM-driven agentic systems to strengthen the cyber resilience of critical national infrastructure, particularly legacy operational technology and industrial control systems that cannot easily be patched or upgraded. The postholder will develop autonomous hardening and monitoring capabilities, create realistic digital twin and simulation environments, run robust large-scale evaluations, and produce high-quality research software, technical outputs, and publications, while working closely with multidisciplinary experts across AI, cyber security and critical systems. It s a highly applied research role suited to someone excited by combining machine learning, software engineering and cyber security to solve complex real-world resilience challenges with national importance. Your Profile We re looking for a technically strong and collaborative research engineer with a solid grounding in AI, machine learning, cyber or information security, computer science, engineering, or a related field, ideally educated to Master s level or with equivalent experience. The ideal candidate will bring hands-on experience building LLM-powered agentic or tool-calling systems, strong scientific software development skills in Python and related frameworks and a track record of delivering practical research or engineering outputs with measurable impact. They ll be comfortable working across disciplines, communicating complex ideas clearly to both technical and non-technical audiences and operating with a high degree of autonomy while contributing positively to a team environment. Experience with network security, cyber-physical systems, virtualisation, OT/ICS environments and research publications would be especially valuable, as would a thoughtful, evidence-led approach and eligibility for Security Check clearance. How You Will Make an Impact Collaboratively design, build and maintain agentic, AI systems and evaluation suites that support CNI cyber resilience and legacy software hardening against known vulnerabilities. Develop virtualisation based digital twin environments and implement techniques for assuring operational continuity in the context of CNI. Develop realistic virtualised environments with legacy OT/ICS hosts, including legacy operating system instances running OT/ICS control software and with representative OT protocol traffic. Contribute to high-quality collaborative research as part of the Turing s CNI resilience mission. Develop CNI-relevant scenarios with clear threat models, operational continuity criteria, and defensible assumptions; document limitations and known failure modes explicitly. Implement reproducible evaluation pipelines: configuration-driven runs, dataset/version management, baseline implementations and auditable reporting outputs. Develop and validate metrics and scoring methods. Carry out analysis that supports credible interpretation of results (failure case analysis, ablations and sensitivity checks). Application Procedure If you are interested in this opportunity, please click the apply button below. It will redirect you to The Alan Turing Institute jobs portal, where you can find more information and a full job description for this role. You will need to register on the applicant portal and complete the application form including your CV and covering letter. CLOSING DATE FOR APPLICATIONS: SUNDAY 19 APRIL :59 (LONDON, UK BST) Terms and Conditions This post is offered on a full time, fixed-term basis until 31 March 2027. The annual salary is £45,505 - £51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance The successful candidate may be required to undergo a pre-screening check prior to an offer being made. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check whether they are eligible to apply for SC clearance before applying to this role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to advise us how we can assist you.
Apr 13, 2026
Full time
The Role This Research Engineer role sits within The Alan Turing Institute s Defence and National Security programme and focuses on designing, building and evaluating LLM-driven agentic systems to strengthen the cyber resilience of critical national infrastructure, particularly legacy operational technology and industrial control systems that cannot easily be patched or upgraded. The postholder will develop autonomous hardening and monitoring capabilities, create realistic digital twin and simulation environments, run robust large-scale evaluations, and produce high-quality research software, technical outputs, and publications, while working closely with multidisciplinary experts across AI, cyber security and critical systems. It s a highly applied research role suited to someone excited by combining machine learning, software engineering and cyber security to solve complex real-world resilience challenges with national importance. Your Profile We re looking for a technically strong and collaborative research engineer with a solid grounding in AI, machine learning, cyber or information security, computer science, engineering, or a related field, ideally educated to Master s level or with equivalent experience. The ideal candidate will bring hands-on experience building LLM-powered agentic or tool-calling systems, strong scientific software development skills in Python and related frameworks and a track record of delivering practical research or engineering outputs with measurable impact. They ll be comfortable working across disciplines, communicating complex ideas clearly to both technical and non-technical audiences and operating with a high degree of autonomy while contributing positively to a team environment. Experience with network security, cyber-physical systems, virtualisation, OT/ICS environments and research publications would be especially valuable, as would a thoughtful, evidence-led approach and eligibility for Security Check clearance. How You Will Make an Impact Collaboratively design, build and maintain agentic, AI systems and evaluation suites that support CNI cyber resilience and legacy software hardening against known vulnerabilities. Develop virtualisation based digital twin environments and implement techniques for assuring operational continuity in the context of CNI. Develop realistic virtualised environments with legacy OT/ICS hosts, including legacy operating system instances running OT/ICS control software and with representative OT protocol traffic. Contribute to high-quality collaborative research as part of the Turing s CNI resilience mission. Develop CNI-relevant scenarios with clear threat models, operational continuity criteria, and defensible assumptions; document limitations and known failure modes explicitly. Implement reproducible evaluation pipelines: configuration-driven runs, dataset/version management, baseline implementations and auditable reporting outputs. Develop and validate metrics and scoring methods. Carry out analysis that supports credible interpretation of results (failure case analysis, ablations and sensitivity checks). Application Procedure If you are interested in this opportunity, please click the apply button below. It will redirect you to The Alan Turing Institute jobs portal, where you can find more information and a full job description for this role. You will need to register on the applicant portal and complete the application form including your CV and covering letter. CLOSING DATE FOR APPLICATIONS: SUNDAY 19 APRIL :59 (LONDON, UK BST) Terms and Conditions This post is offered on a full time, fixed-term basis until 31 March 2027. The annual salary is £45,505 - £51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance The successful candidate may be required to undergo a pre-screening check prior to an offer being made. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check whether they are eligible to apply for SC clearance before applying to this role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to advise us how we can assist you.
