Doctoral fellow

Last application date
May 01, 2021 00:00
Department
TW08 - Department of Electromechanical, Systems and Metal Engineering
Contract
Limited duration
Degree
Master of Science in Mechanical Engineering
Occupancy rate
100%
Vacancy type
Research staff

Job description

Context – Condition monitoring of gears is extremely important in a number of industrial applications including wind turbines and automotive. A plethora of diagnostics indicators, based on signal processing and machine learning applied on indirect measurement techniques (e.g. acceleration, sound, rotational speed, etc.) have been proposed to monitor the damage evolution in gears but rarely are compared with a direct damage measurement based on camera images. In this project simultaneous direct (via a visual sensor) and indirect measurements will be captured and the effectiveness of novel indirect diagnostic indicators will be evaluated based on the ground truth.

Your tasks – The envisioned Ph.D. focuses on the development of a condition monitoring strategy for lubricated gears based on a visual camera-based system. The Ph.D. student will be involved in the design of the setup, data acquisition, labeling, and interpretation of the data.

Job profile

1. You hold a Master's degree in (Electro-)Mechanical Engineering.
2. You have a strong motivation for conducting scientific research at a high level.
3. You possess good analytical and technical skills
4. You have an affinity with Tribology.
5. You take responsibility for the development of your project in a well-structured, thorough way, and you’re able to solve problems independently. You display creativity in solving problems, generating ideas, or finding new ways of working.
6. You have an open personality and willing to contribute to the team and participate in didactic projects.
7. You have excellent communication skills in English, both orally and in written.

How to apply

To apply, please complete the application form at < https://forms.gle/Ksvrdt3nx38xKGvT8 >. Your application will be taken into consideration on the condition that all fields in the application form are completed properly.