Postdoctoral research on condition monitoring of vehicles’ hydraulic system

• 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 work in a stimulating interdisciplinary international and ambitious research environment and a strong network with industry partners.
• Ample occasions to develop yourself in a scientific and/or an industrial direction. 
• 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 (KU Leuven is the Most Innovative University of Europe – Faculty of Arts). Further information can be found on the website of the university: https://www.kuleuven.be/english/living

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

• I am a highly motivated, enthusiastic and communicative researcher with a a PhD degree in engineering, physics, computer science, mathematics or a related field, from a reputable institute, with a strong publication record.
• I have a passion for research and innovation and a strong motivation for conducting scientific research at a high level.
• I am proficient in written and spoken English.
• I have a genuine interest in combining machine learning techniques, advanced signal processing methods and measurement approaches into an innovative toolchain and I have experience with (at least) some of these topics.
• I have strong experience in signal processing and/or machine learning and measurement techniques
• I have good programming skills in Matlab and/or in Python (in particular Tensorflow or Pytorch).
• As a postdoctoral researcher of the KU Leuven Mecha(tro)nic System Dynamics (LMSD) division 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.
• 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.

To apply for this position, please follow the application tool and enclose:1) Full CV – mandatory2) Motivation letter – mandatory3) Proof of English proficiency (TOEFL, IELTS, …) - if available4) Two... For more information see https://www.kuleuven.be/personeel/jobsite/jobs/60170229