Queen’s University Belfast

We are seeking engineers who want to innovate and apply their knowledge to the challenges of industry and society to support emerging approaches to digitalisation for industry 4.0 within AMIC's advanced manufacturing activities. You will apply your specialist knowledge and experience of methods and processes, to generate innovative research outputs which have a direct economic and technical benefit to companies and sectors. You will work collaboratively with your team, industry, technology providers, national technology centres and academia to deliver key projects focused on advanced manufacturing. You will be involved in implementing a Unified Namespace Architecture within AMICs facilities on a state-of-the-art modern infrastructure and demonstrating best practices to industry. About the person 1. Educational Background: Undergraduate degree in Computer Science, Software Engineering, Engineering, Science, or a related discipline; OR Extensive recent and relevant industrial experience directly related to the role. 2. Technical Expertise: Manufacturing Systems Integration - Understanding of MES, ERP systems and their role within Industry 4.0 architectures. Industrial Data Architecture – Understanding of how to structure and contextualise data across multiple systems (MES, ERP, SCADA, IIOT). Tag Hierarchy Design - Ability to design logical and scalable tag structures that reflect physical and digital assets across the enterprise. Industrial Protocols & Communication – Familiarity of protocols such as OPC-UA, MQTT, Modbus, Profibus for secure industrial data exchange. Security & Access Control – Ability to implement role-based authentication, cybersecurity best practices, and compliance with industrial data governance. Event-Driven Architecture - Experience with publish/subscribe patterns, real-time data streaming, and workflow automation Programming & Scripting - Proficiency in Python, JavaScript, or similar for industrial automation and data processing applications. 3. Experience: Demonstrable evidence of working within multifaceted environments delivering to deadlines and within budget. Experience of using research/industrial tools and techniques resulting in high quality projects and technical reports. Evidence of complex problem-solving skills obtained with a proven ability to develop innovative solutions. 4. Personal Qualities: Evidence of complex problem-solving skills obtained / relevant for industrial data-related problems. Excellent written and verbal communication skills, including ability to communicate complex technical information. Ability to innovate and rapidly contribute to research projects. Willingness to visit collaborative partners and to attend meetings and conferences nationally and internationally as requested. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website. This is a 3 year fixed term post. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.

The Co-Centre for Climate+ Biodiversity+ Water is seeking to recruit an experienced and motivated Research Fellow to play an active role as part of a new research team at Queen's University Belfast. The Co-Centre is an exciting new tri-jurisdictional initiative spanning Northern Ireland, Great Britain and the Republic of Ireland, which is managed jointly by QUB and Trinity College Dublin and funded by the Science Foundation Ireland (SFI), DAERA and UKRI. The Co-Centre is the home of research, innovation, and policy development across the interlinked challenges of climate change, biodiversity loss, and water degradation on the islands of Ireland and Britain, with the goal of integrating research across both islands to address these crises. This Research Fellowship will contribute mainly to a project on projecting biodiversity change. In this project we aim to forecast global vegetation responses driven by climate, land use, and traits, and apply these projections to enable population risk forecasting. We will apply the Global Warming Levels and "storyline" climate projections produced for Ireland and the UK with our biodiversity models to project effects of these new projections on the types of species that will occur under these new climatic conditions and their dynamics. There is a possibility to look at animal responses in addition to vegetation. The post will be part of the School of Biological Sciences at QUB but will work as part of a multi-disciplinary and inclusive team based in the dedicated Co-Centre Hub. The successful candidate will have responsibilities in independent research, supervision, planning, collaborations, and outreach. About the person The successful candidate must have, and our application should clearly demonstrate that you meet the following essential criteria: Hold or be about to obtain a PhD* (*obtained within 3 months of commencement of employment) in ecology or related field. Have substantial relevant research experience in (at least some of the following): GIS; geospatial modelling; ecological modelling; land use change and/or climate change impacts. Demonstrable evidence of experience and skills in: data analysis, report writing and/or peer-reviewed publication. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website. This post is available for 2 years or until 31 December 2029, whichever is soonest. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.

About the job: We are seeking to recruit a Project Engineer to develop capability in Discrete Event Simulation (DES) and digital manufacturing techniques to support innovation and industrial decision-making. This role is suited to an early-career engineer who will be supported to learn and apply simulation, data analytics, and system modelling approaches to real-world industrial challenges. About the Person: The successful candidate will support senior colleagues in modelling, analysing, and improving manufacturing and supply chain systems, contributing to AMIC's advanced manufacturing activities and "Factory of the Future" vision. Essential Criteria: Honours degree or equivalent in a relevant engineering discipline, science, or a related discipline with significant relevant industrial experience OR minimum HND in a related engineering discipline with recent and relevant industrial experience. Evidence of strong analytical and problem-solving skills, with the ability to break down complex systems into structured components. Ability to understand and interpret processes, workflows, or systems (e.g. manufacturing, logistics, or service systems). Experience working with data, including analysis, manipulation, or visualisation (e.g. Excel, Python, MATLAB, Power BI or similar). Ability to interpret data and extract meaningful insights to support decision-making. Demonstrable ability in logical or computational thinking, such as modelling, coding, or structured problem-solving. Evidence of delivering work or projects to agreed deadlines and within scope. Excellent written and verbal communication skills, including the ability to communicate complex technical information to non-specialist audiences. Demonstrated willingness and ability to learn new tools, techniques, and technologies. Willingness to visit collaborative partners and to attend meetings and conferences nationally and internationally as requested. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.