NOTICE : We do not advertise our positions on the following social media platforms: Facebook, WhatsApp, Instagram, TikTok or X. If you have any questions, please contact our office directly via phone or email. Grow with us Senior Applied Scientist Rapidly growing 130+ person Australian owned, multiple roles Attractive salary package, flexible working hours Role Are you interested in understanding and countering influence through social and formal networks leveraging human-AI collaboration and integration. Then join us with shaping and growing our information warfare research and development portfolio. What You'll Do The Senior Applied Scientist position sits within the Innovation portfolio, where cross-disciplinary teams of data and computer-scientists, engineers and strategists work together to research, design, build and support projects and services across the Spectrum Management, Electromagnetic Warfare (EW) and Information Warfare (IW) domains. What You'll Bring You are an active researcher in a relevant discipline (behavioural science, applied mathematics or data science, for example) with a social science focus, and are passionate about developing and applying leading edge theory and technology to real-world problems in the national interest. You prefer to work collaboratively in cross disciplinary teams to achieve complex objectives. Desirable Knowledge and Skills Science : Contribute to the organisation's research goals by leading and conducting research into approaches for: Cognitive behavioural modelling and computational psychology to simulate human-decision making and human-AI teaming. Improve workflow integration; and more broadly, identifying information/influence campaigns. Forecasting the reach and impact of such campaigns, understanding effects in the human/social context, and exploring ways of countering influence campaigns Leadership. Lead research initiatives and provide motivation and inspiration to other staff members. Lead and participate in team meetings and activities and work reviews to deliver overall benefit to team goals. Lead and collaborate in reviews of work with others. Participate in reviews of, and identify and report issues and risks associated with, own work as appropriate. Engagement Establish strategic and working relationships within the company and with external organisations. Set up and foster research collaboration initiatives, including proposals for external funding, across research institutions and across disciplines. Engage with clients and end-users to shape concepts and conduct user evaluations. Communication Communicate fluently, orally and in writing Present complex information to both technical and non-technical audiences Teamwork The ability to work effectively with others to foster the exchange of ideas and leverage diverse expertise. Motivation A strong desire to learn and understand new concepts, technologies, and methods. Qualifications Bachelor's degree or Master's Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field (essential). PhD in related field is desirable. Join a sovereign Australian enterprise driving innovation to protect national interests, offering meaningful work, career growth, and a supportive, flexible environment. Consunet is headquartered in the Adelaide CBD with operations in Adelaide, Edinburgh (SA) and Canberra. We encourage applications from veterans and reservists-your experience is valued here. We support veterans through recruitment, flexible work, reservist leave, a Veterans Policy, dedicated points of contact internally, and an EAP specialising in defence. We invite veterans to voluntarily disclose their prior military service. We are committed to creating a diverse and inclusive workplace. People of all genders, cultures, and backgrounds are encouraged to apply. Consunet offers flexible work and an inclusive environment to support our people to thrive, with an EAP service which has specialist defence experience to support wellbeing. Security Clearance Applicants are required to be Australian Citizens and be eligible to hold and maintain an Australian Defence Security Clearance. Eligibility requirements can be found at . Benefits working for Consunet: A workplace that believes in innovation, quality, and a work-life balance Flexible, inclusive and friendly work environment Competitive remuneration Salary packaging options Study Loan Scheme Career and skills progression through training and development to team members Access to cutting-edge technology, research, and agile project management practices Mentoring and support from our experienced team members Please send your covering letter summarising your experience and current resume to , noting in the subject line: Consunet - Senior Applied Scientist About Consunet Consunet is headquartered in the Adelaide CBD with operations in Adelaide, Edinburgh (SA) and Canberra. We focus on the design, development, deployment and support of high-assurance software solutions - trusted software and systems that do exactly what they are supposed to, when and where they are supposed to do it, and with the cyber and security safeguards needed to protect it. We collaboratively work with customers to understand and solve complex problems, and to develop world-leading solutions that deliver enduring benefits. As a 100% Australian-owned and operated corporation, Consunet strives to be the country's leading cyber and spectrum security solution developer, and trusted industry partner to the Australian Defence and cyber security communities. A strong research and development and collaboration emphasis underpins our culture of innovation and excellence. We lead with vision to deliver trusted and sustainable outcomes for discerning and astute customers. Are you seeking a challenging career with an Australian technology leader? Consunet is a dynamic company on a rapid growth path. We are actively searching for suitably skilled Australians to join our team of trusted professionals.
Jul 16, 2025
Full time
NOTICE : We do not advertise our positions on the following social media platforms: Facebook, WhatsApp, Instagram, TikTok or X. If you have any questions, please contact our office directly via phone or email. Grow with us Senior Applied Scientist Rapidly growing 130+ person Australian owned, multiple roles Attractive salary package, flexible working hours Role Are you interested in understanding and countering influence through social and formal networks leveraging human-AI collaboration and integration. Then join us with shaping and growing our information warfare research and development portfolio. What You'll Do The Senior Applied Scientist position sits within the Innovation portfolio, where cross-disciplinary teams of data and computer-scientists, engineers and strategists work together to research, design, build and support projects and services across the Spectrum Management, Electromagnetic Warfare (EW) and Information Warfare (IW) domains. What You'll Bring You are an active researcher in a relevant discipline (behavioural science, applied mathematics or data science, for example) with a social science focus, and are passionate about developing and applying leading edge theory and technology to real-world problems in the national interest. You prefer to work collaboratively in cross disciplinary teams to achieve complex objectives. Desirable Knowledge and Skills Science : Contribute to the organisation's research goals by leading and conducting research into approaches for: Cognitive behavioural modelling and computational psychology to simulate human-decision making and human-AI teaming. Improve workflow integration; and more broadly, identifying information/influence campaigns. Forecasting the reach and impact of such campaigns, understanding effects in the human/social context, and exploring ways of countering influence campaigns Leadership. Lead research initiatives and provide motivation and inspiration to other staff members. Lead and participate in team meetings and activities and work reviews to deliver overall benefit to team goals. Lead and collaborate in reviews of work with others. Participate in reviews of, and identify and report issues and risks associated with, own work as appropriate. Engagement Establish strategic and working relationships within the company and with external organisations. Set up and foster research collaboration initiatives, including proposals for external funding, across research institutions and across disciplines. Engage with clients and end-users to shape concepts and conduct user evaluations. Communication Communicate fluently, orally and in writing Present complex information to both technical and non-technical audiences Teamwork The ability to work effectively with others to foster the exchange of ideas and leverage diverse expertise. Motivation A strong desire to learn and understand new concepts, technologies, and methods. Qualifications Bachelor's degree or Master's Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field (essential). PhD in related field is desirable. Join a sovereign Australian enterprise driving innovation to protect national interests, offering meaningful work, career growth, and a supportive, flexible environment. Consunet is headquartered in the Adelaide CBD with operations in Adelaide, Edinburgh (SA) and Canberra. We encourage applications from veterans and reservists-your experience is valued here. We support veterans through recruitment, flexible work, reservist leave, a Veterans Policy, dedicated points of contact internally, and an EAP specialising in defence. We invite veterans to voluntarily disclose their prior military service. We are committed to creating a diverse and inclusive workplace. People of all genders, cultures, and backgrounds are encouraged to apply. Consunet offers flexible work and an inclusive environment to support our people to thrive, with an EAP service which has specialist defence experience to support wellbeing. Security Clearance Applicants are required to be Australian Citizens and be eligible to hold and maintain an Australian Defence Security Clearance. Eligibility requirements can be found at . Benefits working for Consunet: A workplace that believes in innovation, quality, and a work-life balance Flexible, inclusive and friendly work environment Competitive remuneration Salary packaging options Study Loan Scheme Career and skills progression through training and development to team members Access to cutting-edge technology, research, and agile project management practices Mentoring and support from our experienced team members Please send your covering letter summarising your experience and current resume to , noting in the subject line: Consunet - Senior Applied Scientist About Consunet Consunet is headquartered in the Adelaide CBD with operations in Adelaide, Edinburgh (SA) and Canberra. We focus on the design, development, deployment and support of high-assurance software solutions - trusted software and systems that do exactly what they are supposed to, when and where they are supposed to do it, and with the cyber and security safeguards needed to protect it. We collaboratively work with customers to understand and solve complex problems, and to develop world-leading solutions that deliver enduring benefits. As a 100% Australian-owned and operated corporation, Consunet strives to be the country's leading cyber and spectrum security solution developer, and trusted industry partner to the Australian Defence and cyber security communities. A strong research and development and collaboration emphasis underpins our culture of innovation and excellence. We lead with vision to deliver trusted and sustainable outcomes for discerning and astute customers. Are you seeking a challenging career with an Australian technology leader? Consunet is a dynamic company on a rapid growth path. We are actively searching for suitably skilled Australians to join our team of trusted professionals.
Role Description The AI Safety Institute research unit is looking for exceptionally motivated and talented people to join its Safeguard Analysis Team. Interventions that secure a system from abuse by bad actors will grow in importance as AI systems become more advanced and integrated into society. The AI Safety Institute's Safeguard Analysis Team researches such interventions, which it refers to as 'safeguards', evaluating protections used to secure current frontier AI systems and considering what measures could and should be used to secure such systems in the future. The Safeguard Analysis Team takes a broad view of security threats and interventions. It's keen to hire researchers with expertise developing and analysing attacks and protections for systems based on large language models, but is also keen to hire security researchers who have historically worked outside of AI, such as in - non-exhaustively - computer security, information security, web technology policy, and hardware security. Diverse perspectives and research interests are welcomed. The Team seeks people with skillsets leaning in the direction of either or both of Research Scientist and Research Engineer, recognising that some technical staff may prefer work that spans or alternates between engineering and research responsibilities. The Team's priorities include research-oriented responsibilities - like assessing the threats to frontier systems and developing novel attacks - and engineering-oriented ones, such as building infrastructure for running evaluations. In this role, you'll receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff, including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge. In addition to Junior roles, Senior, Staff and Principal RE positions are available for candidates with the required seniority and experience. Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Experience working on machine learning, AI, AI security, computer security, information security, or some other security discipline in industry, in academia, or independently. Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab). Red-teaming experience against any sort of system. Strong written and verbal communication skills. Comprehensive understanding of large language models (e.g. GPT-4). This includes both a broad understanding of the literature, as well as hands-on experience with things like pre-training or fine-tuning LLMs. Extensive Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling. Ability to work in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Bring your own voice and experience but also an eagerness to support your colleagues together with a willingness to do whatever is necessary for the team's success and find new ways of getting things done. Have a sense of mission, urgency, and responsibility for success, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done. Writing production quality code. Improving technical standards across a team through mentoring and feedback. Designing, shipping, and maintaining complex tech products. Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience This job advert encompasses a range of possible research and engineering roles within the Safeguard Analysis Team. The 'required' experiences listed below should be interpreted as examples of the expertise we're looking for, as opposed to a list of everything we expect to find in one applicant: Writing production quality code Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Security research knowledge Research problem selection Research science Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching
Jul 16, 2025
Full time
Role Description The AI Safety Institute research unit is looking for exceptionally motivated and talented people to join its Safeguard Analysis Team. Interventions that secure a system from abuse by bad actors will grow in importance as AI systems become more advanced and integrated into society. The AI Safety Institute's Safeguard Analysis Team researches such interventions, which it refers to as 'safeguards', evaluating protections used to secure current frontier AI systems and considering what measures could and should be used to secure such systems in the future. The Safeguard Analysis Team takes a broad view of security threats and interventions. It's keen to hire researchers with expertise developing and analysing attacks and protections for systems based on large language models, but is also keen to hire security researchers who have historically worked outside of AI, such as in - non-exhaustively - computer security, information security, web technology policy, and hardware security. Diverse perspectives and research interests are welcomed. The Team seeks people with skillsets leaning in the direction of either or both of Research Scientist and Research Engineer, recognising that some technical staff may prefer work that spans or alternates between engineering and research responsibilities. The Team's priorities include research-oriented responsibilities - like assessing the threats to frontier systems and developing novel attacks - and engineering-oriented ones, such as building infrastructure for running evaluations. In this role, you'll receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff, including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge. In addition to Junior roles, Senior, Staff and Principal RE positions are available for candidates with the required seniority and experience. Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Experience working on machine learning, AI, AI security, computer security, information security, or some other security discipline in industry, in academia, or independently. Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab). Red-teaming experience against any sort of system. Strong written and verbal communication skills. Comprehensive understanding of large language models (e.g. GPT-4). This includes both a broad understanding of the literature, as well as hands-on experience with things like pre-training or fine-tuning LLMs. Extensive Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling. Ability to work in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Bring your own voice and experience but also an eagerness to support your colleagues together with a willingness to do whatever is necessary for the team's success and find new ways of getting things done. Have a sense of mission, urgency, and responsibility for success, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done. Writing production quality code. Improving technical standards across a team through mentoring and feedback. Designing, shipping, and maintaining complex tech products. Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience This job advert encompasses a range of possible research and engineering roles within the Safeguard Analysis Team. The 'required' experiences listed below should be interpreted as examples of the expertise we're looking for, as opposed to a list of everything we expect to find in one applicant: Writing production quality code Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Security research knowledge Research problem selection Research science Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching
National Nuclear Laboratory Limited
Seascale, Cumbria
Job Description This is where your skills play a critical role in keeping everyone safe.Working in Safety, Security & Safeguards gives you the chance to make your mark on some hugely interesting projects.UKNNL does work that nobody else in the sector is doing, and this means we need experts like you to make it possible, whilst keeping everyone safe. Were committed to using nuclear science to benefit society for years to come.This means that you can build a long and successful career here whilst playing a meaningful role in delivering cleaner energy, reducing waste and keeping colleagues and the public out of harms way. As the national laboratory for nuclear fission in the UK, we are harnessing nuclear science to solve some of the worlds biggest challenges. The Measurement and Analysis, instrumentation and in-situ analysis team (M&A-IIA) are involved in development of new technologies for radiometric applications and deployment challenges. The team are looking for an individual to join this growing team to play an important part in allowing NNL to fulfil future commitments and develop into a subject matter expert for future programmes of work and become a technical lead. To join the UKNNL Post Doctorate programme you will have a PhD in radiometric physics, nuclear instrumentation or similar and able to work with engineering, sensor and instrument suppliers. You will have the right to work in the UK and be able to achieve SC level security clearance (this includes but is not limited to identity, employment, financial and criminal record checks plus 5 years worth of UK residency). Main Responsibilities We are developing the next generation of technical experts.Not only will you receive the opportunity to work on challenging and exciting projects, but youll continually learn from skilled and knowledgeable industry experts who are leaders in their field.We will help you become everything you can be, by challenging, stretching, and pushing you to your limits while supporting you every step of the way. You will have the opportunity to work on innovation projects for radiometric instrumentation and customer work for the future, develop your knowledge of radiometric detectors and experience in radiometric systems, and help the Measurement and Analysis, instrumentation and in-situ analysis team deliver decommissioning for the Sellafield site. You will support research and other customer work, experimental design, provide experimental data, data analysis, testing and underpinning evidence for instrumentation and processes. UKNNL recognises that academia and industry are very different environments, our Postdoctoral Development Scheme will smooth the transition whilst supporting you as you take your first steps towards becoming a Subject Matter Expert. Your two-year scheme will provide the opportunity to develop your technical knowledge and skills whilst providing you with an insight into UKNNLs strategy and direction. You will receive an overview of how the company operates and delivers its projects. You will undertake personal development through training aligned to your personal development plan and understand your strengths, weaknesses, and behaviours. You will receive a personal budget to support your development within your field of expertise. From day one youll have a role in a technical team involved in delivering real customer projects.You will have direct sight of the value that your skills and knowledge have to our industry and by extension our society.The Postdoctoral Development Scheme runs alongside your role, providing you the space and skills to develop in a commercial environment whilst helping you decide how to advance your technical expertise. Our two-year programme is designed to give you: An introduction to UKNNL so you understand where we sit in the wider context of the nuclear industry and how we work An introduction to the technical expertise at the core of our business so you understand how your expertise interrelates with our wider technical portfolio A clear pathway of technical development Commercial awareness of the Business Operations of UKNNL Opportunity to network with mid-career professionals and experts Mentoring to achieve chartered status with your chosen professional body A choice of development activities tailored to you and your career aspirations Membership of a cohort of early career professionals to provide support in developing within the company The support of a dedicated early careers team and our strong, thriving early careers community. You will be based at our Central Laboratory, the most modern and advanced facility of its kind in the world. On the doorstep of the Lake District National Park,our Sellafield site offer you the opportunity to work with incredible people on extraordinary projects whilst enjoying some of the most unique and beautiful landscapes the UK has to offer, providing an excellent quality of life. This role allows for hybrid working with the flexibility to work from home on some of your working days. As part of the selection process for the Post Doctorate programme you will complete a Technical Interview against the skills and competencies required for this role. Why join us? UKNNL isnt just a place where you can do career-defining work that makes a real-world impact. Its also a place where youll feel appreciated and valued. Were creating an inclusive workplace where everyone is free to be themselves and feel like they belong.We put your wellbeing first, we push you to reach your potential, and we do everything possible to help you feel safe, supported and inspired. We also offer a range of employee benefits: Sector leading Family-Focused Policies: celebrate life events, including enhanced maternity and paternity leave and a week off for your marriage. UKNNL offers attractive pension plans. If you contribute 5%, UKNNL contributes 15%. Alternatively, if you choose not to contribute (0%), UKNNL will still contribute 10%. Annual Leave: Benefit from 25.5 days of leave, plus 4 extra days to be taken during Christmas shutdown, plus Bank Holidays. Reduced gym membership with discounts of up to 25% from 3,700 gym and leisure providers across the UK Company Bonus: Be rewarded for your contributions. Learning Opportunities: Enhance your skills through excellent development programmes. Employee Assistance: Access support for personal and professional challenges. Cycle to Work: Stay active and eco-friendly. Life Assurance: Ensure peace of mind for you and your loved ones. Enhanced Sick Pay Benefits: Receive support during illness or injury. Access to Mydiscounts which has a range of special offers and discounts from more than 200 suppliers, including medical insurance and dental insurance. Health Care: Health savings plan which allows you to claim money back on visits to the dentist, optician and/or physiotherapist (limits apply). About The Company UKNNL is an incredible place to work. A place where people do things that have never been done before. A place where people push boundaries to further themselves, the business and society as a whole. This is a place where personal and professional opportunities are limitless.If you want to change the world, if you want to tackle climate change, if you want to help advance medical science, if you want to help put things in space, if you want to answer the big questions, if you want to work with extraordinary materials, if you want to meet great people, learn new skills, challenge yourself, work flexibly, and build a long successful career with the power to make a real impact you can do it all here. Equality, Diversity and Inclusion UKNNL has a vision for Equality, Diversity and Inclusivity (ED&I) where UKNNL aims to be an inclusive workplace that attracts diverse talent through transparent and equal policies and procedures, providing reasonable adjustments as appropriate.We want you and the diverse mix of people that we employ, customers that we service and stakeholders that we influence to feel valued.We encourage a workplace culture where everyone can thrive with a sense of belonging and the ability to access to workplace in a way which works for you. Recruitment Agency Notice We operate a strict Preferred Supplier List (PSL) for the provision of recruitment services. Only agencies on our PSL may provide CVs and only when the role is released to them by our recruitment team. We will not accept unsolicited CVs from suppliers not currently on our PSL. We explicitly reserve the right to add candidate details from unsolicited CVs from non-PSL agencies into our own candidate database and to pursue/hire such candidate(s) without any obligation, financial or otherwise, to the agency concerned. JBRP1_UKTJ
Feb 20, 2025
Full time
Job Description This is where your skills play a critical role in keeping everyone safe.Working in Safety, Security & Safeguards gives you the chance to make your mark on some hugely interesting projects.UKNNL does work that nobody else in the sector is doing, and this means we need experts like you to make it possible, whilst keeping everyone safe. Were committed to using nuclear science to benefit society for years to come.This means that you can build a long and successful career here whilst playing a meaningful role in delivering cleaner energy, reducing waste and keeping colleagues and the public out of harms way. As the national laboratory for nuclear fission in the UK, we are harnessing nuclear science to solve some of the worlds biggest challenges. The Measurement and Analysis, instrumentation and in-situ analysis team (M&A-IIA) are involved in development of new technologies for radiometric applications and deployment challenges. The team are looking for an individual to join this growing team to play an important part in allowing NNL to fulfil future commitments and develop into a subject matter expert for future programmes of work and become a technical lead. To join the UKNNL Post Doctorate programme you will have a PhD in radiometric physics, nuclear instrumentation or similar and able to work with engineering, sensor and instrument suppliers. You will have the right to work in the UK and be able to achieve SC level security clearance (this includes but is not limited to identity, employment, financial and criminal record checks plus 5 years worth of UK residency). Main Responsibilities We are developing the next generation of technical experts.Not only will you receive the opportunity to work on challenging and exciting projects, but youll continually learn from skilled and knowledgeable industry experts who are leaders in their field.We will help you become everything you can be, by challenging, stretching, and pushing you to your limits while supporting you every step of the way. You will have the opportunity to work on innovation projects for radiometric instrumentation and customer work for the future, develop your knowledge of radiometric detectors and experience in radiometric systems, and help the Measurement and Analysis, instrumentation and in-situ analysis team deliver decommissioning for the Sellafield site. You will support research and other customer work, experimental design, provide experimental data, data analysis, testing and underpinning evidence for instrumentation and processes. UKNNL recognises that academia and industry are very different environments, our Postdoctoral Development Scheme will smooth the transition whilst supporting you as you take your first steps towards becoming a Subject Matter Expert. Your two-year scheme will provide the opportunity to develop your technical knowledge and skills whilst providing you with an insight into UKNNLs strategy and direction. You will receive an overview of how the company operates and delivers its projects. You will undertake personal development through training aligned to your personal development plan and understand your strengths, weaknesses, and behaviours. You will receive a personal budget to support your development within your field of expertise. From day one youll have a role in a technical team involved in delivering real customer projects.You will have direct sight of the value that your skills and knowledge have to our industry and by extension our society.The Postdoctoral Development Scheme runs alongside your role, providing you the space and skills to develop in a commercial environment whilst helping you decide how to advance your technical expertise. Our two-year programme is designed to give you: An introduction to UKNNL so you understand where we sit in the wider context of the nuclear industry and how we work An introduction to the technical expertise at the core of our business so you understand how your expertise interrelates with our wider technical portfolio A clear pathway of technical development Commercial awareness of the Business Operations of UKNNL Opportunity to network with mid-career professionals and experts Mentoring to achieve chartered status with your chosen professional body A choice of development activities tailored to you and your career aspirations Membership of a cohort of early career professionals to provide support in developing within the company The support of a dedicated early careers team and our strong, thriving early careers community. You will be based at our Central Laboratory, the most modern and advanced facility of its kind in the world. On the doorstep of the Lake District National Park,our Sellafield site offer you the opportunity to work with incredible people on extraordinary projects whilst enjoying some of the most unique and beautiful landscapes the UK has to offer, providing an excellent quality of life. This role allows for hybrid working with the flexibility to work from home on some of your working days. As part of the selection process for the Post Doctorate programme you will complete a Technical Interview against the skills and competencies required for this role. Why join us? UKNNL isnt just a place where you can do career-defining work that makes a real-world impact. Its also a place where youll feel appreciated and valued. Were creating an inclusive workplace where everyone is free to be themselves and feel like they belong.We put your wellbeing first, we push you to reach your potential, and we do everything possible to help you feel safe, supported and inspired. We also offer a range of employee benefits: Sector leading Family-Focused Policies: celebrate life events, including enhanced maternity and paternity leave and a week off for your marriage. UKNNL offers attractive pension plans. If you contribute 5%, UKNNL contributes 15%. Alternatively, if you choose not to contribute (0%), UKNNL will still contribute 10%. Annual Leave: Benefit from 25.5 days of leave, plus 4 extra days to be taken during Christmas shutdown, plus Bank Holidays. Reduced gym membership with discounts of up to 25% from 3,700 gym and leisure providers across the UK Company Bonus: Be rewarded for your contributions. Learning Opportunities: Enhance your skills through excellent development programmes. Employee Assistance: Access support for personal and professional challenges. Cycle to Work: Stay active and eco-friendly. Life Assurance: Ensure peace of mind for you and your loved ones. Enhanced Sick Pay Benefits: Receive support during illness or injury. Access to Mydiscounts which has a range of special offers and discounts from more than 200 suppliers, including medical insurance and dental insurance. Health Care: Health savings plan which allows you to claim money back on visits to the dentist, optician and/or physiotherapist (limits apply). About The Company UKNNL is an incredible place to work. A place where people do things that have never been done before. A place where people push boundaries to further themselves, the business and society as a whole. This is a place where personal and professional opportunities are limitless.If you want to change the world, if you want to tackle climate change, if you want to help advance medical science, if you want to help put things in space, if you want to answer the big questions, if you want to work with extraordinary materials, if you want to meet great people, learn new skills, challenge yourself, work flexibly, and build a long successful career with the power to make a real impact you can do it all here. Equality, Diversity and Inclusion UKNNL has a vision for Equality, Diversity and Inclusivity (ED&I) where UKNNL aims to be an inclusive workplace that attracts diverse talent through transparent and equal policies and procedures, providing reasonable adjustments as appropriate.We want you and the diverse mix of people that we employ, customers that we service and stakeholders that we influence to feel valued.We encourage a workplace culture where everyone can thrive with a sense of belonging and the ability to access to workplace in a way which works for you. Recruitment Agency Notice We operate a strict Preferred Supplier List (PSL) for the provision of recruitment services. Only agencies on our PSL may provide CVs and only when the role is released to them by our recruitment team. We will not accept unsolicited CVs from suppliers not currently on our PSL. We explicitly reserve the right to add candidate details from unsolicited CVs from non-PSL agencies into our own candidate database and to pursue/hire such candidate(s) without any obligation, financial or otherwise, to the agency concerned. JBRP1_UKTJ
Control Team Our team's focus is on ensuring that even if frontier AI systems are misaligned, they can be effectively controlled . To achieve this, we are attempting to advance the state of conceptual research into control protocols and corresponding safety cases. Additionally, we will conduct realistic empirical research on mock frontier AI development infrastructure, helping to identify flaws in theoretical approaches and refine them accordingly. Role Summary As the lead research scientist on Control, you'll lead the conceptual and theoretical research efforts on control. Your team will initially include 3-4 research scientists, including researchers with existing experience in the control agenda and/or experience at frontier labs. Your responsibilities will encompass setting the research direction & agenda, ambitiously advancing the state of control research, as well as managing and developing an exceptional team. The ultimate goal is to make substantial improvements in the robustness of control protocols across major labs, particularly as we progress towards AGI. The role will involve close collaboration with our research directors, including Geoffrey Irving and Yarin Gal , and work hand-in-hand with the Control empirics team. The empirics team will support your efforts by building realistic control settings that closely mimic the infrastructure and codebases used for frontier AI development, and by helping to develop empirical experiments. Research partnerships and collaborations with many of the leading frontier AI labs will also be a significant part of your role. From a compute perspective, you will have excellent access to resources from both our research platform team and the UK's Isambard supercomputer (5,000 H100s). Person Specification You may be a good fit if you have some of the following skills, experience and attitudes. Please note that you don't need to meet all of these criteria, and if you're unsure, we encourage you to apply. Experience leading a research team or group that has delivered exceptional research in deep learning or a related field. Comprehensive understanding of frontier AI development, including key processes involved in research, data collection & generation, pre-training, post-training and safety assessment. Proven track record of academic excellence, demonstrated by novel research contributions and spotlight papers at top-tier conferences (e.g., NeurIPS, ICML, ICLR). Exceptional written and verbal communication skills, with the ability to convey complex ideas clearly and effectively to diverse audiences. Extensive experience in collaborating with multi-disciplinary teams, including researchers and engineers, and leading high-impact projects. A strong desire to improve the global state of AI safety. While existing experience working on control is desired, it is not a requirement for this role. Salary & Benefits We are hiring individuals at the more senior ranges of the following scale (L5-L7). Your dedicated talent partner will work with you as you move through our assessment process to explain our internal benchmarking process. The full range of salaries are available below, salaries comprise of a base salary, technical allowance plus additional benefits as detailed on this page. Level 3 - Total Package £65,000 - £75,000 inclusive of a base salary £35,720 plus additional technical talent allowance of between £29,280 - £39,280 Level 4 - Total Package £85,000 - £95,000 inclusive of a base salary £42,495 plus additional technical talent allowance of between £42,505 - £52,505 Level 5 - Total Package £105,000 - £115,000 inclusive of a base salary £55,805 plus additional technical talent allowance of between £49,195 - £59,195 Level 6 - Total Package £125,000 - £135,000 inclusive of a base salary £68,770 plus additional technical talent allowance of between £56,230 - £66,230 Level 7 - Total Package £145,000 inclusive of a base salary £68,770 plus additional technical talent allowance of £76,230 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience We select based on skills and experience regarding the following areas: Research problem selection Research science Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching Desired Experience We additionally may factor in experience with any of the areas that our work-streams specialise in: Autonomous systems Cyber security Chemistry or Biology Safeguards Safety Cases Societal Impacts
Feb 11, 2025
Full time
Control Team Our team's focus is on ensuring that even if frontier AI systems are misaligned, they can be effectively controlled . To achieve this, we are attempting to advance the state of conceptual research into control protocols and corresponding safety cases. Additionally, we will conduct realistic empirical research on mock frontier AI development infrastructure, helping to identify flaws in theoretical approaches and refine them accordingly. Role Summary As the lead research scientist on Control, you'll lead the conceptual and theoretical research efforts on control. Your team will initially include 3-4 research scientists, including researchers with existing experience in the control agenda and/or experience at frontier labs. Your responsibilities will encompass setting the research direction & agenda, ambitiously advancing the state of control research, as well as managing and developing an exceptional team. The ultimate goal is to make substantial improvements in the robustness of control protocols across major labs, particularly as we progress towards AGI. The role will involve close collaboration with our research directors, including Geoffrey Irving and Yarin Gal , and work hand-in-hand with the Control empirics team. The empirics team will support your efforts by building realistic control settings that closely mimic the infrastructure and codebases used for frontier AI development, and by helping to develop empirical experiments. Research partnerships and collaborations with many of the leading frontier AI labs will also be a significant part of your role. From a compute perspective, you will have excellent access to resources from both our research platform team and the UK's Isambard supercomputer (5,000 H100s). Person Specification You may be a good fit if you have some of the following skills, experience and attitudes. Please note that you don't need to meet all of these criteria, and if you're unsure, we encourage you to apply. Experience leading a research team or group that has delivered exceptional research in deep learning or a related field. Comprehensive understanding of frontier AI development, including key processes involved in research, data collection & generation, pre-training, post-training and safety assessment. Proven track record of academic excellence, demonstrated by novel research contributions and spotlight papers at top-tier conferences (e.g., NeurIPS, ICML, ICLR). Exceptional written and verbal communication skills, with the ability to convey complex ideas clearly and effectively to diverse audiences. Extensive experience in collaborating with multi-disciplinary teams, including researchers and engineers, and leading high-impact projects. A strong desire to improve the global state of AI safety. While existing experience working on control is desired, it is not a requirement for this role. Salary & Benefits We are hiring individuals at the more senior ranges of the following scale (L5-L7). Your dedicated talent partner will work with you as you move through our assessment process to explain our internal benchmarking process. The full range of salaries are available below, salaries comprise of a base salary, technical allowance plus additional benefits as detailed on this page. Level 3 - Total Package £65,000 - £75,000 inclusive of a base salary £35,720 plus additional technical talent allowance of between £29,280 - £39,280 Level 4 - Total Package £85,000 - £95,000 inclusive of a base salary £42,495 plus additional technical talent allowance of between £42,505 - £52,505 Level 5 - Total Package £105,000 - £115,000 inclusive of a base salary £55,805 plus additional technical talent allowance of between £49,195 - £59,195 Level 6 - Total Package £125,000 - £135,000 inclusive of a base salary £68,770 plus additional technical talent allowance of between £56,230 - £66,230 Level 7 - Total Package £145,000 inclusive of a base salary £68,770 plus additional technical talent allowance of £76,230 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience We select based on skills and experience regarding the following areas: Research problem selection Research science Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching Desired Experience We additionally may factor in experience with any of the areas that our work-streams specialise in: Autonomous systems Cyber security Chemistry or Biology Safeguards Safety Cases Societal Impacts
About the Team The Post-Training Team is dedicated to optimising AI systems to achieve state-of-the-art performance across the various risk domains that AISI focuses on. This is accomplished through a combination of scaffolding, prompting, supervised and RL fine-tuning of the AI models which AISI has access to. One of the main focuses of our evaluation teams is estimating how new models might affect the capabilities of AI systems in specific domains. To improve confidence in our assessments, we make significant effort to enhance the model's performance in the domains of interest. For many of our evaluations, this means taking a model we have been given access to and embedding it as part of a wider AI system-for example, in our cybersecurity evaluations, we provide models with access to tools for interacting with the underlying operating system and repeatedly call models to act in such environment. In our evaluations which do not require agentic capabilities, we may use elicitation techniques like fine-tuning and prompt engineering to ensure assessing the model at its full capacity. About the Role As a member of this team, you will use cutting-edge machine learning techniques to improve model performance in our domains of interest. The work is split into two sub-teams: Agents and Finetuning. Our Agents sub-team focuses on developing the LLM tools and scaffolding to create highly capable LLM-based agents, while our Finetuning Team builds out finetuning pipelines to improve models on our domains of interest. The Post-Training Team is seeking strong Research Scientists to join the team. The priorities of the team include both research-oriented tasks-such as designing new techniques for scaling inference-time computation or developing methodologies for in-depth analysis of agent behaviour-and engineering-oriented tasks-like implementing new tools for our LLM agents or creating pipelines for supporting and fine-tuning large open-source models. We recognise that some technical staff may prefer to span or alternate between engineering and research responsibilities, and this versatility is something we actively look for in our hires. You'll receive mentorship and coaching from your manager and the technical leads on your team, and regularly interact with world-class researchers and other exceptional staff, including alumni from Anthropic, DeepMind and OpenAI. In addition to junior roles, we offer Senior, Staff, and Principal Research Engineer positions for candidates with the requisite seniority and experience. Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Experience conducting empirical machine learning research (e.g. PhD in a technical field and/or papers at top ML conferences), particularly on LLMs. Experience with machine learning engineering, or extensive experience as a software engineer with a strong demonstration of relevant skills/knowledge in the machine learning. An ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Particularly strong candidates also have the following experience: Building LLM agents in industry or open-source collectives, particularly in areas adjacent to the main interests of one of our workstreams e.g. in-IDE coding assistants, research assistants etc. (for our Agents subteam) Leading research on improving and measuring the capabilities of LLM agents (for our Agents sub-team) Building pipelines for fine-tuning (or pretraining LLMs). Finetuning with RL techniques is particularly relevant (for our finetuning subteam). Finetuning or pretraining LLMs in a research context, particularly to achieve increased performance in specific domains (for our finetuning subteam). Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience We select based on skills and experience regarding the following areas: Research problem selection Research Engineering Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching Desired Experience We additionally may factor in experience with any of the areas that our work-streams specialise in: Cyber security Chemistry or Biology Safeguards Safety Cases Societal Impacts
Feb 11, 2025
Full time
About the Team The Post-Training Team is dedicated to optimising AI systems to achieve state-of-the-art performance across the various risk domains that AISI focuses on. This is accomplished through a combination of scaffolding, prompting, supervised and RL fine-tuning of the AI models which AISI has access to. One of the main focuses of our evaluation teams is estimating how new models might affect the capabilities of AI systems in specific domains. To improve confidence in our assessments, we make significant effort to enhance the model's performance in the domains of interest. For many of our evaluations, this means taking a model we have been given access to and embedding it as part of a wider AI system-for example, in our cybersecurity evaluations, we provide models with access to tools for interacting with the underlying operating system and repeatedly call models to act in such environment. In our evaluations which do not require agentic capabilities, we may use elicitation techniques like fine-tuning and prompt engineering to ensure assessing the model at its full capacity. About the Role As a member of this team, you will use cutting-edge machine learning techniques to improve model performance in our domains of interest. The work is split into two sub-teams: Agents and Finetuning. Our Agents sub-team focuses on developing the LLM tools and scaffolding to create highly capable LLM-based agents, while our Finetuning Team builds out finetuning pipelines to improve models on our domains of interest. The Post-Training Team is seeking strong Research Scientists to join the team. The priorities of the team include both research-oriented tasks-such as designing new techniques for scaling inference-time computation or developing methodologies for in-depth analysis of agent behaviour-and engineering-oriented tasks-like implementing new tools for our LLM agents or creating pipelines for supporting and fine-tuning large open-source models. We recognise that some technical staff may prefer to span or alternate between engineering and research responsibilities, and this versatility is something we actively look for in our hires. You'll receive mentorship and coaching from your manager and the technical leads on your team, and regularly interact with world-class researchers and other exceptional staff, including alumni from Anthropic, DeepMind and OpenAI. In addition to junior roles, we offer Senior, Staff, and Principal Research Engineer positions for candidates with the requisite seniority and experience. Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Experience conducting empirical machine learning research (e.g. PhD in a technical field and/or papers at top ML conferences), particularly on LLMs. Experience with machine learning engineering, or extensive experience as a software engineer with a strong demonstration of relevant skills/knowledge in the machine learning. An ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Particularly strong candidates also have the following experience: Building LLM agents in industry or open-source collectives, particularly in areas adjacent to the main interests of one of our workstreams e.g. in-IDE coding assistants, research assistants etc. (for our Agents subteam) Leading research on improving and measuring the capabilities of LLM agents (for our Agents sub-team) Building pipelines for fine-tuning (or pretraining LLMs). Finetuning with RL techniques is particularly relevant (for our finetuning subteam). Finetuning or pretraining LLMs in a research context, particularly to achieve increased performance in specific domains (for our finetuning subteam). Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience We select based on skills and experience regarding the following areas: Research problem selection Research Engineering Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching Desired Experience We additionally may factor in experience with any of the areas that our work-streams specialise in: Cyber security Chemistry or Biology Safeguards Safety Cases Societal Impacts