Postdoc Data-driven Prediction of Human Body Motion
2 maanden geleden
Postdoc Data-driven Prediction of Human Body Motion in Automated Vehicles-
Job description
The potential discomfort and motion sickness experienced by passengers during automated journeys pose a significant challenge to their widespread adoption. Envisaged automated vehicle (AV) designs and their driving behavior are expected to provoke motion sickness and discomfort, hindering passengers' ability to enjoy their commute time. Despite substantial investments in AV technology, the importance of motion comfort has been largely overlooked. Fundamental questions regarding occupants' postural control (when and how they are activated) in AVs remain unanswered, which has led to the lack of human body models (HBM) able to predict human motion and postural control (both anticipatory as preparation for upcoming perturbation, and compensatory for restoring balance after perturbation).
To model human motion, researchers have employed simplified efficient models, which are faster to run than complex human body models and useful for early-stage design evaluations. However, these simplified models may fail to capture the intricacies of the human body's response to motion. Advanced active human body models offer highly detailed information but require specialized expertise and significant computational time. Furthermore, neither type of model adequately captures occupants' anticipatory and compensatory postural control based on upcoming or experienced motion.
To that end, this project will explore:
- How data driven control techniques can be employed to gain insight in occupants’ postural adjustments while being driven?
- To what extend can we employ feedforward and feedback components to capture anticipation and compensation?
The main deliverable of the project will be validated simplified human body models with data-driven control algorithms that capture occupants' postural adjustments. The models will be validated using existing data that the group has. The researcher is expected to lead the project and deliver publications (journal & conferences) that disseminate the work.
The Human Factors' PhD students and Postdocs cover a wide range of topics from understanding and modelling motion sickness in automated vehicles, biomecanics and postural control, countermeasures for motion sickness and discomfort, teleoperation, perceived safety in automated vehicles, and others. Opportunities for growing your career will be available, such as mentoring BSc/MSc Students, conference presentations, networking, and teaching.
**Requirements**:
- PhD in Mechanical Engineering, Biomechanics, Systems and Control, or any comparable studies by the start date of the position.
- Strong scientific programming skills.
- Strong written and oral communication skills in English.
The following aspects will help you stand out:
- Knowledge of data-driven control algorithms, biomechanical modelling, system identification, machine learning, control theory.
- Prior experimental experience on human body dynamics and motion comfort.
- A strong academit track record with publications in the relevant topics.
- The ability to act independently as well as to collaborate effectively with members of a larger team.
Conditions of employment
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (salary based on scale 10, indication: € 3.877 - € 5.090 per month gross). The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.
For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.
This postdoc position has a fixed-term contract of 12 months.
TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.
Challenge. Change. Impact
Faculty Mechanical Engineering
3mE is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in 3mE’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We trans
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