Thesis Work - Smart Machining: Real-Time Tool Health Monitoring Using Machine Tool Signals

Job description You will develop and implement a real-time Tool Condition Monitoring solution using machine-integrated signals. The work includes automated data acquisition and signal processing, online tool health assessment, and validation in a real production environment. You will also investigate how tool health information can be visualized to support operators and production decision-making. The output of this thesis would be: - An implemented real-time data-driven Tool Condition Monitoring solution. - Validation of the solution under industrial production conditions. - Visualization of tool health information to support production decision-making. - Recommendations for further development toward intelligent process monitoring and control. Education/program/focus Master students in industrial engineering, production engineering Number of students: 1 Start date for the thesis work: 2027-01-18 Estimated time required: 20 weeks Contact persons and supervisors Mohammad Haddadzade Mohammad.Haddadzade@scania.com Application: Your application must include a CV, personal letter and transcript of grades A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified. Publication date from - to. 2026-10-06–2026-11-22 Requisition ID: 33750 Number of Openings: 1.0 Part-time / Full-time: Full-time Permanent / Temporary: Temporary Country / Region: SE Location(s): Södertälje, SE, 151 38 Required Travel: 0-25% Workplace: On-site [Apply now »](https://jobs.scania.com/talentcommunity/apply/1444769533/?locale=en_US)