Senior Research Engineer, ARTC

We are seeking a degree‑qualified Research Engineer to support and advance Laser Powder Bed Fusion (LPBF) research through integrated process engineering and digital manufacturing system development. This role combines hands‑on LPBF process execution with engineering responsibility for data integrity, system integration, and continuous improvement within an R&D environment Key Responsibilities LPBF Process Engineering You will execute Laser Powder Bed Fusion (LPBF) builds to support research and experimental work, including build setup, parameter application, in‑process monitoring, and post‑build assessment support. You will monitor and analyse LPBF process behaviour to maintain process stability, experimental integrity, and consistency across research trials. You will ensure structured and accurate recording of process data—such as machine logs, process parameters, and build metadata—to enable downstream analysis and reproducibility. You will apply engineering judgment to identify and diagnose process deviations, machine–process interactions, and build quality issues in alignment with research objectives. Digital & Hardware–Software System Integration You will integrate LPBF platforms with sensors, data acquisition hardware, and digital monitoring or control tools. You will design and implement laboratory IT and data infrastructure that enables reliable process data capture, storage, and traceability. You will develop and support next‑generation automation and control solutions, including PLC / microcontroller‑based systems, embedded interfacing and telemetry, and integration with higher‑level software workflows where appropriate. You will build and maintain digital workflows to ensure LPBF process execution consistently meets research data requirements. Research Infrastructure, Reliability & Continuous Improvement You will maintain LPBF equipment readiness and research continuity by planning calibrations, coordinating maintenance, and engaging equipment vendors to minimise disruptions. You will identify process, system, and workflow bottlenecks, and you will implement engineering‑based improvements that strengthen efficiency, data quality, safety, and reliability. You will optimise laboratory layouts and system architecture from a research reliability and digital integration perspective rather than facilities operations. You will document configurations, technical changes, and engineering activities clearly to support research reporting, audits, knowledge transfer, and long‑term maintainability of the research infrastructure. Knowledge Sharing & Team Contribution You will document LPBF process conditions, system configurations, and lessons learnt in a clear and structured manner to support research continuity. You will share technical insights with scientists and engineers to strengthen overall LPBF process understanding and improve system maturity across the team. Job Requirements Education & Experience 2 or more years working in a related field. Bachelor’s Degree (or higher) in Mechanical Engineering, Mechatronics, Precision Engineering, Engineering Science, Advanced Manufacturing, or a closely related field. Technical Competencies Strong grounding in manufacturing process engineering, with specific exposure to LPBF or high‑precision manufacturing systems preferred. Ability to understand and work with complex machine data, control parameters, and system interfaces. Foundational knowledge of hardware–software integration, data acquisition, and industrial IT infrastructure. Experience working in a research or advanced manufacturing environment is an advantage. Professional Attributes Analytical, detail‑oriented, and disciplined in data handling and process documentation. Proactive, improvement‑driven mindset with the ability to propose engineering solutions rather than execute fixed procedures. Strong written and verbal communication skills suitable for research documentation and technical discussions. The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.