Project Engineer, Robotics

Overview

The range is provided by Queen's University Belfast. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

We are seeking to recruit project engineers who want to develop and support innovation through applying their knowledge to the challenges of industry and society. Project engineers will support senior colleagues in the delivery of projects in one or more of the following key technology themes within AMIC's advanced manufacturing activities:

• Automation and robotics (robotic applications, industrial automation R&D).
• Digitalisation (manufacturing technology digitalisation).
• Digital Manufacturing (manufacturing process simulation).
• Metrology (advanced measurement and validation)
• Machining (high accuracy advanced material removal)

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.

To be shortlisted for interview, candidates must clearly demonstrate how they meet the following 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.
• Recent experience in at least one of the following:
• AUTOMATION:
  Industrial Robotics, Collaborative Robotics, Robot Offline Programming, Industrial Automation Applications, Self-Guided Vehicles, Engineering Design, 3D CAD Modelling, PLC Programming, SCADA systems, Automation Simulation, Virtual Commissioning, Machine Vision.
• DIGITALISATION: IT/OT Integration, SCADA systems, Industrial Communications, Dev Ops, ERP, MES, MBSE, Cyber Security, Digital Twin Technologies, Systems Integration, machine Learning/Artificial Intelligence Network, Configuration/Management, Software Development, CI/CD, SDLC, Virtualisation, Containerisation.
• DIGITAL MANUFACTURING:
  Discrete Event Simulation, 3D Factory Simulation, 3D CAD Modelling, Data analytics and Visualisation, Management Accounting, Robotic Simulation, Automation Simulation, Virtual Commissioning, (Programming e.g. Python, C#), Supply Chain Analytics.
• METROLOGY:
  Metrology principles (measurement, calibration, traceability), Inspection planning, Geometric Dimensioning and Tolerancing (GD&T), Measurement tools (traditional hand held, CMM, Laser scanners & trackers) and software (such as PC-DMIS / Polyworks / SA...), NDT & Machine Vision, Surface metrology, 3D CAD Design & Reverse Engineering, Measurement System Analysis, Data Analysis & reporting.
• MACHINING: CNC Programming (G-code, M-code), CAD/CAM Proficiency (e.g., Catia, Siemens NX, Mastercam), Fixture Design, Geometric Dimensioning & Tolerancing, Multi-axis CNC Machining (3-axis, 5axis, mill-turn), Material and tooling Selection, Root Cause Analysis & Troubleshooting, Design for Manufacturability (DFM) & Assembly, Digital Simulation (e.g., Vericut, 3rd Wave,), Vibration Analysis & Modal Testing.

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 linked on our website.

• Entry level

• Temporary

• Industries:
  Civil Engineering