PhD Position on frequency dependent virtual sensing strategies for automotive systems

 
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WorkplaceLeuven, Flemish Region, Belgium
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PhD Position on frequency dependent virtual sensing strategies for automotive systems

Enabling more effective sensor fusion for vehicle dynamics

This PhD is part of an industrial collaborative project that aims to provide novel solutions to obtain vehicle dynamics relevant data by combining measurements and models of the vehicle. This information is key to improve the performance and safety of modern vehicles. Classical modelling methodologies typically do not allow to sufficiently accurately predict a range of dynamic phenomena, whereas pure measurement approaches are often too expensive to be broadly applicable. The project therefore focuses on merging these two approaches to provide new solutions for vehicle dynamics measurements. 

As a researcher within this project you will develop methodologies which enable the effective integration of models and sensors which provide different levels of accuracy in different scenarios and in different frequency ranges. You will develop novel variations on the Kalman filter and moving horizon estimators combined with targeted model order reduction approaches to optimally leverage the available information. 

The PhD is hosted by the KU Leuven Noise and Vibration Research Group, which currently counts 90 researchers and is headed by Prof. Wim Desmet (?url=https%3A%2F%2Fwww.kuleuven.be%2Fwieiswie%2Fen%2Fperson%2F00011973&module=jobs&id=3975" target="_blank" rel="nofollow">https://www.kuleuven.be/wieiswie/en/person/00011973) and is part of the Mechanical Engineering Department, a vibrant environment of more than 300 researchers. The research group has a long track record of combining excellent fundamental academic research with industrially relevant applications, leading to dissemination in both highly ranked academic journals as well as on industrial fora. As a PhD researcher in our group, you will help us advance the state-of-the-art in advanced sensing and simulation for highly dynamic mecha(tro)nic systems. More information on the research group can be found on the website: ?url=https%3A%2F%2Fwww.mech.kuleuven.be%2Fen%2Fresearch%2Fmod%2Fabout&module=jobs&id=3975" target="_blank" rel="nofollow">https://www.mech.kuleuven.be/en/research/mod/about and our linkedIn page: ?url=https%3A%2F%2Fwww.linkedin.com%2Fshowcase%2Fnoise-&-vibration-research-group%2F&module=jobs&id=3975" target="_blank" rel="nofollow">https://www.linkedin.com/showcase/noise-&-vibration-research-group/.

The PhD is hosted by the KU Leuven Noise and Vibration Research Group, which currently counts 90 researchers and is headed by Prof. Wim Desmet (?url=https%3A%2F%2Fwww.kuleuven.be%2Fwieiswie%2Fen%2Fperson%2F00011973&module=jobs&id=3975" target="_blank" rel="nofollow">https://www.kuleuven.be/wieiswie/en/person/00011973) and is part of the Mechanical Engineering Department, a vibrant environment of more than 300 researchers. The research group has a long track record of combining excellent fundamental academic research with industrially relevant applications, leading to dissemination in both highly ranked academic journals as well as on industrial fora. As a PhD researcher in our group, you will help us advance the state-of-the-art in advanced sensing and simulation for highly dynamic mecha(tro)nic systems. More information on the research group can be found on the website: ?url=https%3A%2F%2Fwww.mech.kuleuven.be%2Fen%2Fresearch%2Fmod%2Fabout&module=jobs&id=3975" target="_blank" rel="nofollow">https://www.mech.kuleuven.be/en/research/mod/about and our linkedIn page: ?url=https%3A%2F%2Fwww.linkedin.com%2Fshowcase%2Fnoise-&-vibration-research-group%2F&module=jobs&id=3975" target="_blank" rel="nofollow">https://www.linkedin.com/showcase/noise-&-vibration-research-group/.

If you recognize yourself in the story below, then you have the profile that fits the project and the research group:

I have a master degree in engineering, physics or mathematics and performed above average in comparison to my peers.

During my courses or prior professional activities, I have gathered some basic experience with first principle modelling (1D/3D modelling) and state-estimation methodologies (Kalman filtering and/or moving horizon estimation), and I have a profound interest in these topics. 

As a PhD researcher of the KU Leuven Noise and Vibration Research Group I perform research in a structured and scientifically sound manner. I read technical papers, understand the nuances between different theories and implement and improve methodologies myself. 

Based on interactions and discussions with my supervisors and the colleagues in my team, I set up and update a plan of approach for the upcoming 1 to 3 months to work towards my research goals. I work with a sufficient degree of independence to follow my plan and achieve the goals. I indicate timely when deviations of the plan are required, if goals cannot be met or if I want to discuss intermediate results or issues.

In frequent reporting, varying between weekly to monthly, I show the results that I have obtained and I give a well-founded interpretation of those results. I iterate on my work and my approach based on the feedback of my supervisors which steer the direction of my research.

I feel comfortable to work as a team member, I am eager to share my results, and to inspire and being inspired by my colleagues.

I value being part of a large research group which is well connected to the machine and transportation industry and I am eager to learn how academic research can be linked to industrial innovation roadmaps.

During my PhD I want to grow towards following up the project that I am involved in and representing the research group on project meetings or conferences. I see these events as an occasion to disseminate my work to an audience of international experts and research peers, and to learn about the larger context of my research and the research project.

KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR kuleuven.be.

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In your application, please refer to myScience.be and reference JobID 3975.


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