Led by Digital Catapult and funded by Belfast Region City Deal and Innovate UK, the UK Digital Twin Centre will actively enable industry and innovators to safely embrace, explore and realise the dynamic power of digital twins.  Operating from the heart of Northern Ireland, the Centre will accelerate the adoption of digital twins to drive global competitive advantage for UK businesses. By creating the conditions for digital twins to be better understood, more easily developed and more meaningfully applied, the Centre will give businesses real-time capabilities to make smarter decisions and achieve better outcomes, enabling the potential of digital twins to be realised, not theorised. Through partnerships with industry pioneers, the Centre will demonstrate how digital twins can responsibly revolutionise critical industries in maritime, aerospace and defence, and advance the products, services, and systems of the future. 

The Senior Technologist in Digital Twin Intelligence capabilities is a pivotal role with a focus on providing an environment for the development and deployment of industrial digital twin solutions. Leading the services for data integration, basic and advanced analytics, AI, orchestration and other digital twin process capabilities. The role is instrumental in developing and delivering a comprehensive range of Intelligence capabilities. Spearheading the integration of Edge AI and Intelligence for real-time decision-making, implementing Command and Control systems for autonomous operations, and orchestrating complex digital twin processes. Driving advancements in Alerts and Notifications, ensuring timely responses to system triggers, and creating sophisticated Reporting and Data Analysis tools to derive actionable insights. With a strong focus on Prediction and Machine Learning, the role aims to refine the predictive capabilities of digital twins, leveraging Artificial Intelligence and Federated Learning to enhance data privacy and model performance.

WHAT YOU’LL DO (Duties)

The role encompasses developing realistic Simulations and Mathematical Analytics for accurate system modelling, crafting Prescriptive Recommendations for informed decision-making, establishing robust Business Rules, integrating Distributed ledgers and Smart Contracts for secure transactions, and mastering Composition to enable flexible and scalable digital twin solutions.

Leading and collaborating closely with a multidisciplinary team, the senior technologist plays a strategic role in not only advancing the technological offerings of the centre but also guaranteeing operational excellence. The aim is to deliver solutions that exemplify the full potential of digital twin technology, thereby fostering widespread adoption and seamless integration.

• Develop and refine the technological vision and strategy for digital twin intelligence, ensuring alignment with industry trends and organisational goals.
• TIdentify and articulate technical requirements, ensuring solutions meet operational needs and are scalable, reliable, and secure.
• Developing and delivering a comprehensive range of Intelligence capabilities. Spearheading the integration of Edge AI and Intelligence for real-time decision-making, implementing Command and Control systems for autonomous operations, and orchestrating complex digital twin processes.
• Lead research and development initiatives to explore new technologies, methodologies, and practices in digital twin intelligence, driving innovation and technical advancement. Specifically Leading the services for data integration, basic and advanced analytics, AI, orchestration and other digital twin process capabilities.
• Craft compelling commercial proposals that clearly articulate the value and capabilities of digital twin intelligence solutions to potential clients and stakeholders.
• Foster a culture of continuous learning and knowledge sharing, ensuring technical teams are up-to-date with the latest digital twin technologies and practices.
• Engage with external technology communities and forums to explore collaborative innovation opportunities, staying ahead of emerging trends and technologies.
• Build and maintain a strong professional network, positioning the organisation as a leader in digital twin intelligence and fostering partnerships and collaborations.
• Provide expert guidance and support to project teams, ensuring the successful implementation and integration of digital twin technologies.
• Collaborate with internal and external stakeholders, providing coaching and guidance to ensure the effective adoption and utilisation of digital twin solutions.

Requirements

WHAT WE’RE LOOKING FOR (Experience)

Digital Twin Acumen: Deep understanding or interest in the nuances of Digital Twin Data Services, IoT, and their integration in cyber-physical systems.

Educational Background: Preferably holding a master’s or PhD degree in computer science, IoT, Data Engineering or a related field. Equivalent professional experience can be considered.

Numerical analysis: Experience in simulation numerical analysis techniques, evaluating and enhancing computational cyber models to reflect the physical world accurately. This includes creating and fine-tuning mathematical representations, applying advanced programming for model implementation, and critically analysing model performance. Additionally, communicating model limitations and ensuring their correct application is essential.

Scientific modelling: Experience analysing diverse data types and sources through data science methods. Integrating and preparing data, applying advanced analytics, and developing predictive models to drive insightful decision-making. Expertise in data science techniques and tools, the ability to evaluate and improve data solutions, and proficiency in specialised programming for model development and refinement.

Data science: Experience assessing machine learning models for performance and bias, ensuring robustness, and managing model lifecycle from design to deployment. This includes model evaluation, issue resolution, considering ethical implications, and maintaining outcome traceability. The role requires a deep understanding of various machine-learning techniques and best practices in developing, evaluating, and monitoring these systems.

Machine learning: Expertise in machine learning and AI involves leveraging numerical analysis to develop, analyse, and implement algorithms, addressing complex mathematical problems. This skill requires initiating and refining numerical algorithms, ensuring they effectively solve real-world challenges and enhance the intelligence capabilities of digital twin systems.

High-performance computing: Experience developing and applying advanced computing techniques for complex problem-solving across various domains. The role requires skills in creating solutions that leverage HPC and understanding the intricacies of optimising the performance and scalability of algorithms within these high-powered computing environments

Systems design: Intelligent Cyber-physical systems design involves conceptualising, creating, and validating complex systems designs. This includes selecting system components, adhering to standards, modelling system behaviours, and producing detailed specifications to meet both functional and non-functional requirements, all while ensuring compliance with regulatory and security standards.

Programming/software development: Experience development encompassing creation, refining, and maintaining solutions and capabilities. Includes adherence to development and security standards, designing software components, applying test-driven development, and ensuring robust, maintainable code through peer reviews and documentation.

Commitment to Equality, Diversity and Inclusion

Digital Catapult Northern Ireland is an equal opportunity employer. 

We recognise and value the advantages and opportunities that come with having people from diverse backgrounds working with us and it is our ambition to build an organisation which is representative and reflective of UK society. We are part of the Catapult network and we are actively committed to our Inclusivity in Innovation Charter, about which you can find out more here. 

We welcome applications from neurodivergent candidates, candidates from minority and underrepresented groups and from candidates with more or less experience, provided the requisite skills can be demonstrated. 

Benefits

We offer a competitive remuneration package and benefits including -  

• Excellent holiday package: 25 days annual leave, Bank Holidays and 3 days between Christmas and New Year:
• Double-matched pension up to 10% of your salary;
• 4% of your salary to use towards selecting benefits that work for you, including health cash plan, Private Medical Insurance; buying holiday, topping up your pension;
• E/hybrid car scheme, Cycle2Work; Tech Scheme; Gym Discounts; Give As you Earn; PerkPal
• Life insurance 4x salary;
• Free to access EAP & Financial Wellbeing advice;
• Enhanced maternity and paternity leave;
• Hybrid working - with great offices to work from 1-3 days per week;
• Investment in your ongoing learning and development with us

Closing date for receipt of applications is 5pm on Friday 26th April 2024