Ongeveer 17 uur geleden - Technische Universiteit Delft (TUD) - Delft
Assistant or Associate Professor in Motion Perception and Comfort in Automated Driving
TU Delft, the Netherlands, invites applications for an Assistant/Associate Professor Position (tenure track) investigating human motion perception and motion …
- Mekelweg, Delft, Zuid-Holland
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 32 - 38 uur
- € 3637 - € 6738 per maand
TU Delft, the Netherlands, invites applications for an Assistant/Associate Professor Position (tenure track) investigating human motion perception and motion comfort to develop new insights and models predicting comfort of automated driving.
Automated driving holds great promise to provide safe and sustainable transport. Passenger cars will soon achieve safety levels allowing users to take their eyes off the road, freeing up time for work or leisure activities. Surveys indicate that consumers are interested in reading and operating digital devices whilst using automation. These needs must be taken into account for the design of vehicle motion controllers and interiors. A particular concern is “self-driving car sickness”. Drivers rarely suffer from car sickness, but sickness is reported by two-thirds of passengers during eyes off road conditions. Hence, knowledge and models of motion comfort are urgently needed to achieve high comfort levels in automated driving.
A range of theories and models associate motion sickness with motion perception and posture maintenance. Due to a multitude of factors existing models fail to predict motion comfort in automated driving. Effects of 3D motion and the modulating role of vision are not sufficiently understood. The relation between motion comfort and posture maintenance sees little empirical support. Current knowledge focusses on severe (pre-)vomiting sickness rather than the targeted high comfort levels.
The candidate is expected to develop enhanced and new experimental methods, theories and models addressing the knowledge gaps identified above.
Experimental vehicles and moving base driving simulators will be used to systematically investigate perceived comfort as a function of vehicle motion, vision, non-driving task, and seating. Fundamental experiments will address motion perception and posture maintenance. Together with other researchers full body biomechanical models and motion perception models will be integrated to jointly predict body motion and comfort. Together with other researchers and partners the resulting insights and models will be used to design innovative control algorithms for automated vehicles.
The candidate will recruit one PhD candidate using University budgets and is expected to recruit further PhDs through externally funded research projects.
We expect you to:
- Develop, conduct and supervise high-quality academic research;
- Inspire students through teaching and supervision;
- Collaborate with specialists in academia and industry in multidisciplinary projects;
- Transfer theory to innovative technology;
- Secure external funding for research projects (European funding or national funding or industrial funding);
- Be an inspiring contribution to our staff.
Candidates are expected to be, or be on their way to becoming, authorities in their own field of research, and to complement and enrich the existing research programs in the department. For the overall balance in the department, we especially welcome applications from female scientists.
Applicants should have the following qualifications:
- PhD degree in Neuroscience, Human Movement Sciences, Mechanical Engineering, or comparable studies and experience.
- In particular we value experience and interest in: Motion perception (vision, vestibular), Postural stabilization, Biomechanical testing (motion capture, EMG) and modelling, System identification & Frequency domain analysis, Automotive, Comfort & Human factors.
- Strong analytical skills and ability/interest to work at the intersection of several research domains;
- At least one year of research experience after the PhD, and experience outside the Netherlands;
- Excellent track record in scientific research, as evident from papers in international and peer-reviewed journals.
At the start of the tenure-track you will be appointed as Assistant Professor for the duration of six years. Section leader, department leaders and you will agree upon expected performance and (soft) skills. You will receive formal feedback on performance and skills during annual assessment meetings and the mid-term evaluation. For more information about the tenure track and the personal development programme, please visit www.tudelft.nl/tenuretrack. Based on performance indicators agreed upon at the start of the appointment, a decision will be made at the end of the fifth year whether to offer you a permanent faculty position.
The salary for a Tenure Track (Assistant Professor) position is min. €3.637 to max. €5.656 per month gross. For exceptionally strong candidates, a shortened tenure track period or Associate Professor position can be considered.
For an Associate Professor position different terms of employment apply. Depending on background and experience, the salary can range from min. €5.039 to max. €6.738 per month gross. All salaries mentioned are based on full time contracts.
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. TU Delft sets specific standards for the English competency of the teaching staff. TU Delft offers training to improve English competency. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
TU Delft creates equal opportunities and encourages women to apply.
For more information about this position, please contact dr R. Happee, Associate Professor, e-mail: email@example.com, tel.: +31 1527883213.