Science 4 Refugees

Development of an artificial intelligence based approach for the assessment of quality of life

    KU Leuven
    EngineeringSound engineering
    First Stage Researcher (R1)
    03/03/2019 23:59 - Europe/Brussels
    Belgium › Leuven

  • This KU Leuven PhD is set up together with SoundTalks (www.soundtalks.com), a Spin-Off company of KU Leuven. SoundTalks's mission is to develop automated tools that are based on the analysis and/or localization of sounds to monitor, diagnose and improve system processes and/or quality of life. The PhD project will focus on exploiting the new 6-microphone measurement hardware towards audio analysis and classification, signal processing and the use of machine learning in precision livestock farming.
  • As a researcher you work closely with both the involved university research groups and with SoundTalks (dual-desk PhD). Your work includes a literature study on multi-microphone signal processing for noise reduction, dereverberation, spatial localization, blind estimation of reverberation time with multiple microphones and machine learning (including deep learning) for sound event detection based on multi-channel audio; a hands-on experimental part with the SOMOgen2; and the design and validation of algorithms to improve the functionality and robustness of the tool.
  • The PhD is hosted by two KU Leuven research groups:
  • The KU Leuven Advanced Integrated Sensing lab (ADVISE) is a research group in Engineering Technology at KU Leuven Geel Campus. ADVISE primary focus is on porting new sensing systems and technologies to real-life applications. Their research track on acoustic monitoring solutions is coordinated by Prof. Peter Karsmakers (https://www.kuleuven.be/wieiswie/en/person/00047893). In total a group of 7 researchers are involved in this track. This group is part of the Computer Science Department. More details on the research group can be found on the website: www.kuleuven.be/advise .
  • And 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.


  • 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 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-reu...). Further information can be found on the website of the university: https://www.kuleuven.be/english/living

Eligibility criteria

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 (technology), 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 signal processing, machine learning and acoustics, and/or I have a profound interest in these topics.      
  • As a KU Leuven PhD researcher 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 community 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.

Selection process

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 Bert Pluymers, by sending an e-mail to bert.pluymers@kuleuven.be and mention ARTIFICIAL INTELLIGENCE ... For more information see https://www.kuleuven.be/personeel/jobsite/jobs/55019723

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