Jobbeschreibung
- Demonstrating a clear and succinct comprehension of current quality control and quality assurance standards within the manufacturing industry
- Establishing reliable databases and a real-time streaming environment for processes to build a data-centric manufacturing ecosystem
- Empowering intelligent manufacturing by implementing machine learning-based monitoring and control techniques across diverse processes
- Striving to be a pioneer in the field of explainable and physics-informed machine learning for enhancing manufacturing processes harnessing sensor data signatures
- You have completed a PhD in the field of physics, engineering, material science, or other close disciplines
- You are willing to collaborate in a multi-discipline team with other researchers of the lab of Advanced Materials Processing but also with EPFL and industrial partners
- Mandatory requirement: Possesses hands-on experience in coding, signal processing, and deep learning frameworks
- Mandatory requirement: Willingness to carry out experimental laboratory work, e.g. sensorizing these processes using acoustic and optical detectors to capture their transformations
- Nice to have: Experience in laser based materials processing
- Additionally, aiming to advance expertise in prognostics and pattern recognition, particularly within the domain of tribology (triboinformatics), to evaluate the ageing process in tribological contacts
- You have experience in supervising and/or coaching PhD or master students
- Experience in preparing scientific reports (deliverables) and publishing in scientific journals
- Excellent knowledge of English: written and oral
We look forward to receiving your complete online application including a letter of motivation, CV, certificates, diplomas and contact details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered.
Extra Informationen
- Status
- Inaktiv
- Standort
- Dübendorf
- Jobart
- Karrierestarter
- Tätigkeitsbereich
- Chemie / Pharmazie
- Führerschein erforderlich?
- Nein
- Auto erforderlich?
- Nein
- Motivationsschreiben erforderlich?
- Nein