PhD Position on Artificial Intelligence for Enhanced Exoskeleton Control
Last modification : Monday, September 5, 2022
The KU Leuven department of Electrical Engineering (ESAT) stands for high-
quality education and research in the broad field of electrical and electronic
applications. Within ESAT, the Stadius Center for Dynamical Systems, Signal
Processing, and Data Analytics (STADIUS) is an academic research center,
with a research focus on mathematical engineering, where mathematical tools
from numerical linear and multi-linear algebra, statistics and optimization
are used for applications of dynamical systems and control, signal processing,
data modelling and analytics. STADIUS has a broad data-mining expertise
including applications in healthcare, music, financial engineering, process
control, and systems biology. You will conduct research at the eMedia Research
Lab, part of the faculty of engineering technology and ESAT-STADIUS, under the
supervision of Prof.dr.ir Bart Vanrumste. Prof. Vanrumste is involved in
several potential projects that aim to advance the intelligence of
exoskeletons by integrating multi-modal sensors and AI algorithms. You will
specifically research whether the latest advancements in deep learning and
multi-modal sensor fusion will enable a pro-active estimation of the
exoskeleton user's physical status (e.g., fatigue) and the user's desire to
accomplish an action. A pro-active estimation is crucial to allow exoskeletons
to optimally assist the user in facilitating the desired action.
In the context of this research project:
You will be part of a multi-disciplinary research group working on topics
related to the application of deep learning for enhanced exoskeleton
control under the supervision of Prof. Bart Vanrumste.
You will follow-up literature, patents, company releases, conferences,
etc., and dissect the obtained information to determine the state-of-the-
art and identify opportunities for novel contributions to the field.
You will be responsible for developing novel deep learning algorithms for
multi-modal sensor fusion and researching their application to user
intention and physical state prediction.
You will guide and supervise master thesis students.
You will report to your senior colleagues, supervisors, and the different
partners during the bi-annual consortium meetings.
You will disseminate your research results at international conferences.
You hold an MSc in Engineering Science or Engineering Technology, or
equivalent degree, in a related field such as computer science,
electronics-ICT, AI, mechatronics, or related field, for which you
obtained a distinction.
You have good programming skills and experience with Python.
You ideally have experience with implementing deep learning and machine
learning in software libraries such as Pytorch and Tensorflow.
You like to work in a multi-disciplinary team of international researchers
and show a willingness to learn/explore innovative technologies and
You have a creative mindset, like to take initiative, and are not afraid
to address innovative ideas and new opportunities.
You have excellent communication skills (oral and written) in English.
KU Leuven is among the topuniversities in Europe (ranked 48th in general and
45th in engineeringaccording to Times Higher Education world university
ranking). Your researchwill be conducted at Group T campus, located in
Leuven, a historic, dynamic,and lively city located in the heart of Belgium.
We offer a varied and challenging job with an attractive salary package.
We offer a full-time PhD position for one year, to be renewed every year
up to 4 years upon positive evaluation.
We offer a research position in a stimulating and multi-disciplinary
We will support you in publishing in high-ranked international scientific
We provide the opportunity to work towards obtaining a PhD degree.
For more information please contact Prof. dr. ir. Bart Vanrumste, tel.: +32 16
32 64 07, mail: firstname.lastname@example.org or Mr. Benjamin Filtjens, tel.: +32
14 74 15 99, mail: email@example.com.
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