Postdoctoral Position Developing Vehicle Human Assessment Platform

Chalmers University of Technology is delighted to offer a postdoctoral associate position in artificial intelligence. This position is available for two years. Applicants should apply before February 17, 2019.

The Biomedical signals and systems research group at the division of Signal processing and Biomedical engineering at the Department of Electrical Engineering, Chalmers University of Technology, is recruiting a qualified candidate for a postdoctoral position. We are an internationally renowned research group, focusing on research in the fields of Biomedical Engineering and Health Informatics. This postdoctoral position is funded by Chalmers Transport Area of Advance (50 %) and Autoliv Development AB (50 %), in support of development of a new research track and commercial platform for increasing traffic safety, improving intelligent transportation systems and enabling in-vehicle health monitoring, named the Vehicle Human Assessment Platform (VHAP).

Information about the research

The idea for VHAP builds upon previous work performed at the Department of Electrical Engineering and SAFER Vehicle and Traffic Safety Centre at Chalmers in collaboration with Autoliv and VTI (Swedish National Road and Transport Research Institute) for assessing driver level of sleepiness via Artificial Intelligence (AI), by machine learning of heart rate variability (HRV) signals. VHAP will enable real-time driver monitoring and capability estimation through non-obtrusive measurement and analysis of driver vital data such as heart rate, HRV and breathing rate, as well as data related to driving performance and context information. Applications can be found in scenarios expected in autonomous and semi-autonomous vehicles, as well as the possibility to detect health issues that can influence the driving capability, or in post-crash situations. The research is expected to contribute to Euro NCAP's future rating of driver monitoring, which will include detection of driver fatigue, distraction and driving under the influence of alcohol. Contributions can include best practice, guidance on suitable state indicators and simplified test procedures, and information on expected accuracy with industry-grade sensors.

Further new possibilities enabled by VHAP include health follow-up and monitoring today usually found in the Health Informatics domain, e.g. home monitoring.

In this role you will join a research group that provides a stimulating, pleasant and flexible work environment for developing research and teaching, and also be supported by the global industrial research group at Autoliv Research.

As an employer Chalmers actively strives towards providing equal opportunities for women and men with clear promotion opportunities.

Major responsibilities

In this postdoctoral position you play a leading role in developing the VHAP platform, which is an important part of the group’s new initiative on Health Informatics and Chalmers’/Autoliv’s goal to provide state-of-the-art driver monitoring capabilities. Your research area will cover topics like physiological measurements, multiple sensor information fusion, signal processing and interpretation utlizing AI/machine learning. The active fields within traffic safety are fitness-to-drive and driver state monitoring, with special reference to upcoming challenges related to autonomous driving. An important influence is the Euro NCAP 2020 rating of Driver monitoring.

1) Lay the theoretical foundation for the generic VHAP platform, i.e. define, evaluate and design how different sensors should be connected to VHAP Cloud Services.

2) Be involved in the hardware and software development for the VHAP platform. This will build upon the platform Driving Avatar ( www.drivingavatar.com ) by Autoliv, a new smartphone-based domain for studying driving behavior and user experience using AI.

3) Move towards real-time vital data detection and driver state assessment. This work builds upon our sleepiness detection algorithm from HRV analysis. One of the main challenges will be to acquire a robust heart rate signal from non-obtrusive measurements via multiple sensors in contact with the driver such as steering wheel and seat, with varying signal strength due to driver's position and clothing.

4) Scientific dissemination via journal articles and conference publications.

Full-time temporary employment. The position is limited to a maximum of two years (1+1).

Qualifications

You have a doctoral degree in Biomedical Engineering/Health Informatics or a closely related discipline sharing the same scientific base.

Sound verbal and written communication skills in both Swedish and English are required, and good interpersonal skills are needed. If Swedish is not your native language, you will need to be able to develop basic Swedish skills for facilitating project communication. Chalmers offers Swedish courses.

Chalmers offers a cultivating and inspiring working environment in the dynamic city ofGothenburg.

Read more aboutworking at Chalmersand ourbenefitsfor employees.

Application procedure

The application should be marked with Ref 20190021 and written in English.

CV: (Please name the document as: CV, Surname, Ref.

CV, include complete list of publications

Previous teaching and pedagogical experiences

Two references that we can contact.

Personal letter:(Please name the document as: Personal letter, Family name, Ref.

1-3 pages where you introduce yourselfand present your qualifications.

Previous research fields and main research results.

Future goals and research focus. Are there any specific projects and research issues you are primarily interested in?

Attested copies of completed education, grades and other certificates.

Application deadline: 17 February, 2019

Assistant Professor Stefan Candefjord, Signal processing and Biomedical engineering

stefan.candefjord@chalmers.se, +46 73-382 15 37 Professor of the practice Bengt Arne Sjqvist, Signal processing and Biomedical engineering, +46 70-787 77 97

Deadline: February 17, 2019
Apply Link:http://tinyurl.com/yblrty44

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