Research Associate (AI-based Process Monitoring)

About the role

We are looking for a Research Associate to develop novel AI methods for process monitoring in laser-based metal additive manufacturing. The role focuses on thermal field modelling, multi-physics numerical simulations, machine learning and process parameter optimisation.

Key responsibilities

• Collect thermal data from metal additive manufacturing process
• Develop cost‑efficient and data‑efficient AI models
• Perform process anomaly and material defects detection
• Implement real‑time process monitoring for layer‑wise printing
• Collaborate with internal and external stakeholders on energy systems
• Maintain lab equipment and manage procurement with suppliers
• Produce high‑quality reports and documents consolidating research findings
• Mentor thesis‑based undergraduate and master students
• Assist in proposal writing

Required profile

• Master's degree or above in Mechanical, Structural, Energy, Industrial Engineering, Machine Learning or related fields
• Expertise in laser‑based metal additive manufacturing processes
• Experience in data‑driven AI and machine‑learning research
• Proficiency in programming languages such as C++, Python, and/or MATLAB
• Strong understanding of research methodologies, data analysis and statistical techniques
• Ability to work independently and collaboratively within a team
• Effective written and verbal communication skills for technical content and presentations
• Strong analytical and problem‑solving skills to interpret research data
• Attention to detail and commitment to ethical research standards
• Passion for research and contribution to meaningful projects; publication record is a plus

Required skills

• C++
• Python
• MATLAB