To apply for this position, please follow the application tool and enclose:
1. full CV – mandatory
2. motivation letter – mandatory
3. full list of credits and grades of both BSc and MSc degrees (as well as their transcription to English if possible) – mandatory (when you haven’t finished your degree yet, just provide us with the partial list of already available credits and grades)
4. proof of English proficiency (TOEFL, IELTS, …) - if available
5. two reference letters - if available
6. an English version of MSc or PhD thesis, or of a recent publication or assignment - if available
For more information please contact Dr. Matteo Kirchner, (Matteo.Kirchner@kuleuven.be) or Dr. Jan Croes (firstname.lastname@example.org) by mail and mention VirtualSensing in the title.
You can apply for this job no later than July 19, 2019 via the online application tool
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.
This PhD focuses on the estimation of quantities that are highly valuable in mechanical and mechatronics applications, but are difficult to measure in practice. Examples are force, power, stress and strain.
By combining physical models and observers, those quantities can be estimated rather than measured, exploiting the model and off-the-shelf sensors. This PhD involves application based research and fundamental research. It fits in a group where novel modelling strategies and model reduction techniques are deployed in an observer based setting, and are applied on cases with industrial complexity. In the framework of industry 4.0 and interconnectivity, the quality of data matters.
• As a PhD researcher your aim is to develop high-fidelity models, investigate sensor placement strategies, and perform the required numerical and experimental analyses. . You deal with the trade-off between the accuracy of the model-based sensing solution, i.e., the requirements concerning model fidelity and amount of measurements. You develop a mathematically rigorous model-observer formalism and you apply it to an experimental demonstrator. At the same time, you ensure that the method is generic, and it can be applied to different mechatronics applications
• 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 (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. More information on the research group can be found on the website: https://www.mech.kuleuven.be/e... and our linkedIn page: 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.
• I am proficient in written and spoken English.
• I have some basic experience with first-principle modelling (1D/3D modelling), observers/estimators (or numerical optimization in general) and/or 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 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 colleagues, and to learn about the larger context of my research and the research project.
• A remuneration package competitive with industry standards in Belgium, a country with a high quality of life and excellent health care system.
• An opportunity to pursue a PhD in Mechanical Engineering, typically a 4 year trajectory, in a stimulating and ambitious research environment.
• Ample occasions to develop yourself in a scientific and/or an industrial direction. Besides opportunities offered by the research group, further doctoral training for PhD candidates is provided in the framework of the KU Leuven Arenberg Doctoral School (https://set.kuleuven.be/phd), known for its strong focus on both future scientists and scientifically trained professionals who will valorise their doctoral expertise and competences in a non-academic context. More information on the training opportunities can be found on the following link: https://set.kuleuven.be/phd/dopl/whytraining.
• A stay in a vibrant environment in the hearth of Europe. The university is located in Leuven, a town of approximately 100000 inhabitants, located close to Brussels (25km), and 20 minutes by train from Brussels International Airport. This strategic positioning and the strong presence of the university, international research centers, and industry, lead to a safe town with high quality of life, welcome to non-Dutch speaking people and with ample opportunities for social and sport activities. The mixture of cultures and research fields are some of the ingredients making the university of Leuven the most innovative university in Europe (https://nieuws.kuleuven.be/en/content/2018/ku-leuven-once-again-tops-reuters-ranking-of-europes-most-innovative-universities). Further information can be found on the website of the university: https://www.kuleuven.be/englis...