Founding Research Engineer Urgent

You will develop graph and time-series machine learning models that diagnose industrial process faults and estimate their location and severity, working closely with academic research groups.

Your tasks

• Develop graph and time-series models and benchmark them on industrial datasets
• Improve how models explain faults, estimate severity and report uncertainty
• Build models capturing plant dynamics, scaling from single processes to whole plants
• Bring validated research into the product to help engineers detect faults early

What you bring

• Ideally a PhD in a related field
• Strong background in graph machine learning and time-series learning for physical or industrial systems
• Alternatively, strong background in dynamical systems, system identification and control
• Experience in both areas is ideal, depth in either is welcome
• Interest in research and in making models work in industrial operations

Conditions

• Workload: 100 %
• Work model: On site
• Start: 01.04.2027
• Option of a permanent position after the assignment if both sides want it

What to expect

• Full-time position
• Start by April 2027
• 3–6 months interim, then a permanent position

How to apply

You apply with your Try&Hire profile: upload your CV, check the details, enter key facts and availability. A short introduction video is optional but helps. Our team will get in touch if your profile fits the assignment.