PhD Candidate AI Supported Road Vehicle Suspension Design

PhD Candidate AI Supported Road Vehicle Suspension Design

Arbetsbeskrivning

Who are we?
Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.
Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent.
We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future.

What we offer? 

The wheel suspension is one of the most architecture-heavy systems in a car and much of the car's overall motion characteristics and limitations are determined by it.
A clear bottleneck in the development of a new wheel suspension today is how to balance the complex performance requirements and which today require time-consuming calculations to evaluate for each iteration of the design. 
Current state-of-the-art methods in optimization have proved difficult to use in the design of a wheel suspensions because it is easily caught in local optima that do not work in practice. The experience is that we often devote more time to creating, constraining, and controlling the optimization than it typically takes to manually iterate to a solution. 
Our working hypothesis is that by combining model-based knowledge of the connection between requirements and design parameters with modern Artificial Intelligence (AI) methods like such as Interactive Evolutionary Algorithms and Artificial Neural Networks, one can go directly from attribute requirements to a reduced solution space within which the designer can complete the design.  
This project will focus on suspension hard-points and bushing compliance design with new AI development methods that are based on the state-of-the art interactive evolutionary algorithms (IEA) developed by the participants of this project. In other fields IEA combined with human intelligence have been demonstrated to quickly reach new radical, unique, and optimized concepts. We believe that suspension design, with its nonlinear and multi objective requirements is a suitable, yet challenging application for which these methods could be further refined and find great usefulness. As far as we know, applying IEAs in this field has not been done before and a successful application to this problem should be original and therefore be scientifically and industrially relevant

What you’ll do

The project will have both internal and external collaboration partners. At Volvo Cars, the PhD student will be part of Volvo Cars’ Industrial PhD Programme (VIPP). The project will also receive support from the Machine Learning and Artificial Intelligence Centre of Excellence at Volvo Cars which role is to make sure that Volvo Cars uses the potential of data and ML&AI to drive business value generation as well as to provide Data Science and Machine Learning education through the Volvo Cars School of Data Science. The project will also collaborate with the Chalmers AI Research Centre aiming to a build a strong regional ecosystem of AI research and industrial applications. International research cooperation and secondments at the Institute for Automotive Engineering (IFS) of the University of Stuttgart.

Do you fit the profile?

The strategic technical competencies required is a PhD candidate with a very strong technical and theoretical background in multi-body dynamics and mathematical modelling. The successful candidate should have the ability to turn abstract ideas into working concepts to understand and explain the connection between design requirements and design parameters using artificial intelligence and other methods. The successful candidate shall also have documented strong oral and writing skills in English. Proficiency in Swedish and German is also desirable.

How to learn more and apply

Please register your application as soon as possible, but not later than January 10th, 2021, selection will be running continuously.
If you have questions about this position, you are welcome to contact Jenny Berglund at jenny.berglund@volvocars.com. For questions regarding the recruitment process, please contact Maria Westermark at maria.westermark@volvocars.com.

Please note due to GDPR we only accept application via our Recruitment Tool.

Kontaktpersoner på detta företaget

Monica Willeborg
+46 31 333 60 50
Monica Willeborg
+46 729889406
Monica Willeborg
+46 729889419
Caroline Gasc
+46 729889406
Pontus Adolfsson
+46 729889422
Caroline Hallgren
+46 729889406
Elin Jurjaks
+46 729889408
Elin Jurjaks
+46 729889422
Pontus Adolfsson
+46 729889428
Karin Örtegren
+46729889428

Sammanfattning

  • Arbetsplats: Volvo Car Corporation
  • 1 plats
  • Tillsvidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 10 december 2020
  • Ansök senast: 9 januari 2021

Besöksadress

Volvo Torslanda
None

Postadress

Dept. 62320/HA1N
Göteborg, 40531

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