PhD: DEVELOPMENT OF ADVANCED NUMERICAL TECHNIQUES FOR LUBRICATED DRIVETRAIN SIMULATION AND ANALYSIS

04 July 2019

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Interested?

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 Mr. Bart Blockmans, tel.: +32 16 37 28 09, mail: bart.blockmans@kuleuven.be or Mr. Bert Pluymers, tel.: +32 16 32 25 29, mail: bert.pluymers@kuleuven.be

You can apply for this job no later than September 30, 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.

Apply before 30 September 2019

This PhD is part of a project aiming to develop advanced computational modelling techniques for the analysis of lubricated drivetrain components on the component- and system-level. 

Project

  • This PhD is part of a project aiming to develop advanced computational modelling techniques for the analysis of lubricated drivetrain components on the component- and system-level. Drivetrains consists of multiple high-precision components such as gears, bearings, seals, cams, etc... which determine the global performance, reliability and durability of the system. Lubrication is vital to improve the performance and durability of drivetrains and to reduce their total cost-of-ownership. By separating the opposing contact surfaces of the interacting machine components, lubricants minimize damage and wear, noise and vibration, and friction, in addition to evacuating heat and wear debris away from the contact area. In order to ensure adequate lubrication under all operational conditions, there is a need for accurate and reliable predictive simulation tools in the drivetrain design process. 
  • As a researcher you develop methodologies to integrate high-fidelity thermo-elastohydrodynamic component models (of a.o. gears and bearings) in system-level drivetrain simulations, while striving for a good compromise between modelling accuracy and computational efficiency. To this end, you exploit acceleration methods such as model-order reduction, surrogate modelling, parallel computing, etc... Having developed and experimentally validated a computationally efficient system-level drivetrain model, you investigate the influence of lubricant properties on the Noise, Vibration & Harshness (NVH) quality of gearboxes through a series of dynamic drivetrain simulations.
  • 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/en/research/mod/about.
Profile

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’m proficient in written and spoken English.
  • During my courses or prior professional activities, I have gathered some basic experience with mechanical modelling and numerical simulation, 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 my team colleagues, 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 those events as an occasion to disseminate my work to an audience of international experts and research colleagues, and to learn on the larger context of my research and the research project.
Offer
  • A remuneration package competitive with industry standards in Belgium, a country with a high quality of life and excellent health care system.
  • A chance to pursue a PhD in Mechanical Engineering, typically a 4 year trajectory, in a stimulating and ambitious research environment.  
  • Ample opportunity to develop yourself in both a scientific or an industrial direction, besides opportunities provided by the research group, further doctoral training for PhD candidates is provided in the framework of the 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 small 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). More practical information can be found on the website of the university: https://www.kuleuven.be/englis...