Montanuniversität Leoben: Advertisement for a full-time University Assistant at the Chair of Mechanical Engineering at the Department Product Engineering at the earliest possible date in a three-years fixed-term contract
Ref ID: 2105WPA
One vacant position for a full-time University Assistant at the Chair of Mechanical Engineering at the Department Product Engineering at the earliest possible date in a three-years fixed-term contract. Salary Group B1 of the Austrian labor agreement, monthly minimum excl. supplements € 2.971,50 for 40 hours per week.
Artificial intelligence (AI)-based methods allow the evaluation of large amounts of data and the detection of previously unseen patterns and trends. In the field of fatigue assessment, extensive investigations are often carried out, resulting in correspondingly large data sets. In addition, due to the complexity, usually only individual influencing factors are examined. The combination and interaction of the individual influencing factors can often not be examined due to the disproportionate testing effort. A future approach here is the use of AI-based methods in order to be able to better recognise interactions and previously unseen patterns based on already existing data sets and selected supplementary test series. A comprehensive body of knowledge regarding fatigue properties and fatigue assessment methods is already available at the institute. Based on this, the possibilities and opportunities of AI-based methods are to be investigated in a strategic research project (dissertation/PhD project) in order to develop innovative scientific
approaches in an interdisciplinary manner.