Post Doc in Applied Artificial Intelligence and Software Engineering
Catholic University of Leuven

The research group M-Group (Mechatronics Group) of KU Leuven performs research on dependable interconnected mechatronic systems with applications in industry 4.0 and healthcare. The M-group has several labs equipped with state-of-the-art infrastructure to build, test and investigate mechatronic systems and self-organising production systems. The research group is a multidisciplinary team of professors and researchers skilled in software engineering, hardware design and mechanical engineering. The research is focused toward reliable and sustainable performance of systems considering embedded system aspects, mechanical aspects, electrical energy, automation, electronics, signal processing and computer science as a whole. The research group consists of 4 professors, 4 postdocs and 20 research assistants or PhD students and is based at the brand-new Bruges Campus. Here, the research team can make use of state-of-the-art research equipment and infrastructure to perform tests on embedded software or on communication devices. Furthermore, the available infrastructure allows the PhD students and research assistants to design and develop robust and dependable design techniques for hardware or software. High Performance Computing power is available within the university, to perform AI model training and perform software simulations in a finger clip. The research group has been successful in acquiring prestigious funding such as H2020, Marie Slodowska-Curie Actions and national funding (FWO, imec.ICON,...). For years, the research group maintains a close collaboration with other research groups from KU Leuven within the departments of Computer Science (imec.Distrinet), Mechanics (LMSD, RAM) and Electrical Engineering (ESAT-ELECTA). We seek to expand our team with a postdoctoral researcher who will coordinate research efforts. This includes aspects of both applied artificial intelligence as well as (embedded) software engineering, such as dependable systems design, and the development of algorithms that harden program execution against glitches and all kinds of disturbances.


In this vacancy, the candidate will support multiple projects, some concerning applying ML/AI and some concerning resilient embedded software.

The projects with regard to applying ML/AI relate condition monitoring, in which data from machines is collected and Machine Learning is used to determine whether a tool is wearing down, or to determine whether or not a machine is failing or exhibiting abnormal behaviour. For these projects, the candidate will design and build demonstrator(s) in software to illustrate which data should be collected and which Machine Learning algorithms are suited to achieve the condition monitoring based on realistic use cases.

The projects with regard to resilient embedded software focus on software-implemented techniques to make embedded software more robust against external disturbances that affect the hardware on which it is executed. This research also includes creating the tools necessary to validate the resilience techniques and to ease their implementation. For these projects, the candidate will support PhD researchers active in this domain and take contact with industrial partners with regard to setting up use cases and disseminating the research.

Successful candidates will actively seek to take a leading role in a broad research project. We expect you to:
  • coordinate research efforts in autonomous systems, oversee the development of prototypes, and foster synergies and collaboration
  • support and co-supervise PhD students across the project domains;
  • Strengthen our established research, by aligning your own research goals with those of our group, ideally this should be aligned with our work on applied AI/ML and resilient embedded software;
  • support educational tasks (teaching, supervision of project students, etc.) of the department¬† and the research group.


We are looking for strong, enthusiastic researchers who must have
  • a PhD in Computer Science (or equivalent) with a background in Applied Artificial intelligence.¬† Experience in embedded software design is a surplus
  • a clear interest in and experience with autonomous safety-critical systems;
  • a proven & convincing track record in the above domains (e.g. A-level publications);
  • a team player attitude and the capability to collaborate in an international research team;
  • excellent English communication skills, both oral and written.


We offer a position as postdoc researcher at KU Leuven in a very dynamic and internationally oriented research group at one of the best universities in Europe. The initial duration of the appointment is three years.


For more information please contact Prof. dr. ir. Jeroen Boydens, tel.: +32 50 66 48 03, mail: or dr. ing. Jens Vankeirsbilck, tel.: +32 50 66 48 07, mail:

You can apply for this job no later than March 31, 2021 via the
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
  • Employment percentage: Voltijds
  • Location: Brugge
  • Apply before: March 31, 2021
  • Tags: Computerwetenschappen

If you apply for this position please say you saw it on Computeroxy


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