Open Positions

Position type: post-doc (0.6 FTE, gross salary: 48.000 CHF) - The K-Lab also offers a possibility to extend to 1 FTE with 0.4 FTE (gross salary: 32.000 CHF) on a project related to big data in Clinical Gait Analysis

Starting date: 01/02/2020

Project duration: 12 months

Profile: We are looking for a candidate with experience in ultrasound imaging or medical imaging, specifically on segmentation and registration. Only European and Swiss citizen are eligible.

Planned tasks:

  1. Synchronise 4 US transducers.
  2. Achieve spatial calibration of the plane of measurement of the US transducers  with respect to the motion capture system.
  3. Develop a fixation system to attach the transducers to the participant.
  4. Perform the bone segmentation on US images.
  5. Identify a model of the femur and tibia of the participant from US images (a generic model could be used as a starter).
  6. Registration of the models of the femur and tibia on the US images during gait to identify the bone pose and thus the kinematics.

Send resume and cover letter to: xavier.gasparutto(at)hcuge.ch  

Deadline: 13/12/2019

Project summary:

 

In clinical settings, human movement analysis has become an essential tool to identify, characterise and follow the evolution of the locomotor system pathologies, as well as to assess the efficacy of a rehabilitation program or a surgery.

Classically, this approach relies on the measurement of the 3D trajectories of a set of reflective skin markers by the mean of an optoelectronic system. The position and orientation of bony segments is then estimated during a movement using these trajectories.

However, the relative motion between the cutaneous markers and the underlying bones, known as soft tissue artefacts (STA), introduces significant errors that limit the accuracy of the measurements, especially when considering small rotations and displacements. Still, an accurate joint kinematics estimation is crucial to properly identify and quantify pathology-related movements’ abnormalities. Gaining access to such information would open new possibilities for the evaluation, treatment and follow up of patients.

To date, researchers have been using intra-cortical pins or bi-plane fluoroscopy to tackle the issue of STA. However, these solutions are invasive or irradiating and cannot be used in clinical settings for ethical reasons. Thus, there is a need for the development of new technologies allowing an accurate measurement of joint kinematics.

Another solution to tackle STA is the fusion of ultrasound (US) imaging with traditional motion capture. This fusion consists in calibrating each US transducer in such a way that the 3D position of each point of the US plane can be measured in space. Hence, by combining multiple images of the same bone, it is possible to reconstruct its position and orientation in space and to cancel STA. Recently, a proof of concept of using A-mode US for the motion capture of the lower limb was made, and B-mode US was tested to track the greater trochanter. The outcomes of these studies are promising, but the feasibility of such approaches in clinical settings have not been assessed and these devices have not yet been validated in vivo.

Our project aims to achieve the fast prototyping and testing of an innovative system allowing the fusion of Bmode US and marker-based motion capture to track the knee kinematics during gait. This system will be composed of two calibrated US transducers per segment (one proximal, one distal) allowing the bone pose reconstruction of the femur and tibia segments, and thus the measurement of the knee kinematics. It will be validated in vivo and its applicability in clinical settings will be evaluated.

Position type: Master student

Starting date: 01/03/2020

Project duration: From 6 to 8 months

Profile:

  1. Comfortable with (scientific) English,

  2. Matlab or python programming,

  3. Basic knowledge of statistics,

  4. Knowledge about inertial sensors (accelerometer and gyroscope) (optional),

  5. Knowledge and experience in signal processing, machine learning (optional).

Planned tasks:

  1. Conduct a literature review on the evaluation of gait parameters in real-life conditions in the population of patients with total knee arthroplasty (TKA),
  2. Learn how to use inertial sensors and collect the data with healthy participants and patients before and after TKA,
  3. Develop simple algorithms for gait detection and gait parameter computation based on the literature,
  4. Export relevant gait parameters from the daily-life recordings and link them with various data collected in the laboratory (3D kinematics, force) or by questionnaires,
  5. Evaluate the evolution of these parameters with regard to the recovery (between 3 time points: before TKA, 1 month after TKA, 3 months after TKA)
  6. Perform statistical analysis,
  7. Write an abstract or, if possible, a full-length article.

Contact: For further information please contact Dr. Stéphane ARMAND (stephane.armand(at)hcuge.ch, (0)22 37 27 827) or Lena CARCREFF (lena.carcreff(at)hcuge.ch).

Deadline: 31/01/2020

Project summary:

This project will be in collaboration with the members of the Kinesiology Laboratory and clinicians of the Department of Surgery within the University Hospitals of Geneva.

 

The idea of ​​this project is to evaluate the functional recovery of the knee after total knee replacement in the patient's natural environment.

For this purpose, we aim to compute several gait parameters related to the knee function (walking speed, step length, flexion / extension amplitude) measured in the patient’s daily life with inertial sensors.

The Service of Endocrinology, Diabetes, Nutrition and Patient Education of the Geneva University Hospitals and University of Geneva (Geneva, Switzerland) is hiring a post-doctoral researcher or an advanced research scientist for a project in collaboration with the Ecole polytechnique Fédérale de Lausanne (EPFL) and the Kinesiology laboratory at the University of Geneva.
Applications are welcome from early career scientists with an outstanding track record or strong interest in the field of: Prevention of diabetic foot ulcers and foot off-loading

The aim of the project is to develop a smart footwear with intelligent pressure off-loading for patients with diabetes to prevent foot ulcers and amputations: https://www.epfl.ch/labs/lai/researc...01765-en-html/

The position is part-time (60%) and is offered for an initial term of two years, with the possibility of prolongation for up to four additional years. The position is actually funded by Swiss National Science Foundation Bridge Discovery funding program (http://p3.snf.ch/project-181020). The successful candidate will work in collaboration with medical doctors, engineers and specialists in foot biomechanics.

Your role
The successful candidate is expected to perform the following tasks:

  • Investigating the role of foot biomechanics in increased plantar pressure and in designing therapeutic shoes with an intelligent off-loading technology in people with diabetes mellitus.
  • Designing and performing a clinical study both in healthy volunteers and diabetic patients, with recently developed shoe prototypes.
  • Evaluating the impact of the shoes on plantar pressure and spatio-temporal gait parameters.
  • Disseminating results through scientific publications and conferences
  • Preparing new research proposals to attract industrial, national and international projects

Requirements:
We’re looking for person driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place! Candidates need to have a Licence degree in a field related to biomechanics/human movement science. The ideal candidate for this position should have a background in foot biomechanics in diabetes and interest in clinical gait analysis. Speaking French is not mandatory but will be considered an advantage.


Application selection & Selection Process
Only applications received before July 1, 2021 will be considered.Candidates should send to zoltan.pataky(at)hcuge.ch

  1. A two page CV
  2. A list of publications (authors, title, journal/conference name and date of publication).
  3. A one page motivation letter explaining why their skills, knowledge and experience make them a particularly suitable candidate for the given position.
  4. A 500 words research proposal on the problematic described above.
  5. Contact details of three referees (do not send reference letters).

Deadline and starting date:
Applications will be considered starting from April 12, 2021, and then continuously until the position is filled. The position will be available from September 1, 2021.