PhD Position in Luleå University of Technology Sweden

Doctoral position in Signal Processing, Data, AI, Technical Physics – Luleå University, Sweden

Sweden

Department of Fluid Mechanics and Experimental Mechanics at Luleå University of Technology invites applications for a Doctoral position in friction estimation for autonomous vehicles at Sweden, 2022

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General Info

Position: Doctoral position
No. of Positions: 1
Research Field: , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 4 Years
Salary: According to standard norms

Workplace:
Department of Fluid Mechanics and Experimental Mechanics

Luleå University of Technology (LUT), Sweden

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Qualification Details

We are looking for a doctoral student with a master's degree in Signal Processing, Data, AI, Technical Physics or equivalent. You should have a good ability to work in a group as well as independently and an important characteristic is that you can take your own initiatives. You have good knowledge of English and find it easy to express yourself in both speaking and writing. See also study plan for doctoral education in experimental mechanics: General syllabus for the Board of the faculty of science and technology

Responsibilities/Job Description

The overall purpose of the project AllDrive, of which this doctoral position is a part of, is to address the problem of driving a heavy, autonomous vehicle under different weather conditions. The focus of the project is on developing a friction estimation methodology, as well as a road-based motion planner and motion control for trucks (tractor and semi-trailer). The results of the work will be demonstrated in physical vehicles. The ultimate goal is to develop a framework for estimating friction in front of and under the vehicle, a framework that includes appropriate sensors, sensor fusion and an off-board weather predictor. The purpose is that the estimate can be used in the motion planner and control system for autonomous vehicles developed in the project. The ambition is to gradually add capabilities such as braking, cornering, roads with hilly terrain, prevention of so-called jackknifing, during the project and thus increase the system's capabilities. The system will be continuously evaluated in real vehicles. The project aims to take an important step towards creating an autonomous heavy vehicle that can drive in all normal weather conditions. At the same time, the knowledge and results will also enable the development of support systems for manually driven heavy vehicles.

Road friction is crucial for the vehicle's propulsion. In traditional vehicles, the driver can evaluate and decide on road friction in front of the vehicle and adjust the speed accordingly. The driver often uses vision, forces in the vehicle, sound and experience. The ambition with future AD vehicles is to remove the  need for a driver completely and allow the vehicle itself to continuously, accurately evaluate the road friction and drive safely using this information. This can also be used for vehicles with Advanced Driver Assistance Systems (ADAS) systems, that may provide conditionally or partially autonomous functionality, or information to the driver.

The primary goal for the doctoral student is to analyse signals from several road friction sensor to contribute to further develop of a sensor processing system that can facilitate driving tasks based on vision, vehicle forces, sound and learning through self-learning algorithms. But to handle this survey, reference data must be collected. Data may be collected using a combination of individual sensors or a complete sensor system installed on one of Scania's test vehicles.

Experimental Mechanics concerns the development of experimental methods in order to study phenomena in mechanics.

A doctoral position means both theoretical and practical work. The theoretical work within this project is linked to signal processing, analysis of data and self-learning algorithms. The practical work will mainly be linked to various sensors and measurement campaigns that will be carried out at different test sites.

A doctoral student position also includes training in scientific work in the form of publishing scientific work in journals and at conferences, as well as conducting compulsory and optional doctoral courses. In addition, a certain amount of departmental service is included, that can be for example participation in education in the university's undergraduate courses.

How to Apply?

Application Method: Online Application
Ref. No.: 1182-2022

Application Procedure

The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish.

About the Department/Section/Group

The Department of Fluid Mechanics and Experimental Mechanics at Luleå University of Technology conducts research that links to the development of friction estimation sensors and friction measurements. Being able to measure and predict slippery and bad weather conditions linked to autonomous driving is a prerequisite for Autonomous Drive (AD) vehicles to be able to be driven during winter conditions.

About the Employer:

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Contact details

For questions about the position, contact Assistant Professor Johan Casselgren: [email protected]

Information about the department's other activities is available at: https://www.ltu.se/research/subjects/Experimentell-mekanik?l=en and https://www.ltu.se/research/subjects/Stromningslara?l=en

Union representatives:SACO-S Kjell Johansson (+46)920-49 1529 [email protected], OFR-S Lars Frisk, (+46)920-49 1792 [email protected]

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