Queen’s University Belfast

About the job: We are seeking to recruit a digitalisation project engineer who wants to develop and support innovation through applying their knowledge to the challenges of industry and society. Successful candidates will apply their knowledge and experience of methods and processes to support AMIC's advanced manufacturing activities, developing and implementing methods and processes to meet industry need, fuelling a pipeline of innovation activity for AMIC's state-of the-art "Factory of the Future" facility, and contributing to solving wider societal challenges. In conjunction with senior engineering colleagues, you will work collaboratively with academia, technology providers, national technology centres, and industry to deliver key projects focused on Advanced Manufacturing activities. You will help monitor, develop and implement best practices in the application of your engineering discipline within advanced manufacturing, including software, hardware and delivery. About the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following criteria: Honours degree or equivalent in a relevant engineering discipline, science, or related discipline OR minimum HND in a similar discipline with recent relevant significant and relevant industrial experience. Recent experience in at least one of the following: Embedded/Edge/Sensor devices/technology * Cyber security - * Virtualisation/Infrastructure/Networking - * AI – experience must be applicable to manufacturing use cases* Manufacturing Software Systems - * Digital Twin Technologies - * Cloud technologies – particularly in relation to cloud based databases, data analytics, data visualisation. * Relevant experience in the Manufacturing Domain * *  can be demonstrated with industry experience or relevant projects. Demonstrable evidence of delivering projects to agreed deadlines and within budget. Experience of using research/industrial tools and techniques resulting in high quality projects and technical reports. 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.

About the job: We are seeking a Research Fellow t o lead the computational chemistry aspects of a BBSRC-funded collaborative project 'Unlocking GPCR Signalling Bias: A Multiscale Approach to GPR84 and Beyond'. The role-holder will work closely with medicinal chemists at University of Oxford and pharmacologists at University of Glasgow, applying virtual screening, machine learning, AI-driven generative chemistry, pharmacophore modelling, and molecular dynamics simulations to design novel GPR84 ligands with predictable signalling bias profiles. About The Person The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Hold or be about to obtain* (must be obtained* within 3 months of start date in post) PhD in computational chemistry, computational biology, structural biology, biophysics, pharmacology or related discipline. Significant experience in virtual screening and molecular docking. Experience with machine learning/AI approaches in drug discovery. Familiarity with generative chemistry platforms. Experience with pharmacophore modelling. Experience with molecular dynamics simulations. Strong scripting skills (Python, Bash). Experience with HPC environments Knowledge of GPCR structure, function, and signalling pathways. 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.

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.