Master Thesis Project "AI-based Automotive Algorithm for Vertical Force Estimation on Vehicle" - Moncalieri
11 ore fa
Descrizione del lavoro
Italdesign is an Italian design and engineering company specializing in automotive, transportation, and product development sectors.
Based in Moncalieri (Turin) with over 1,300 employees worldwide, it has been innovating and working with top car makers and emerging players for more than 57 years.
Renowned for its important role in car design, Italdesign has developed iconic vehicles and offers comprehensive services spanning exterior and interior design, prototyping, engineering, and turnkey project management.
Its vertical integrated approach ensures seamless support to clients, from the first idea to homologation and series production, delivering solutions tailored to client needs.
Italdesign also develops new technologies and fosters advancements in mobility and prototyping.In recent years, it has expanded into electronic systems development, including infotainment, ADAS, high-voltage batteries, and Software Defined Vehicles (SDVs).
This blend of technical expertise and creative design makes it a leader in the industry.
Since joining the Audi Group in 2010, Italdesign has grown and created innovative solutions, combining aesthetics and functionality to pioneer cutting-edge solutions that meet the market demands.
Posizione:
Italdesign is looking for an enthusiastic and smart student passionate about automotive, eager to join an innovative and international business environment, working in an agile way and embracing a strong team spirit.
You will gain a great experience in learning all the instruments, procedures and technical aspects with the support of your tutor and colleagues of the Department.
You will be involved in an interesting project concerning an automotive vehicle dynamics software application within the Vehicle Chassis dynamic company department.
You will contribute to the design, development and implementation of an AI-based algorithm to estimate the vertical forces at the four corners of the vehicle.
The algorithm shall be able to run in real-time within the vehicle ECU.
Estimating vertical forces at four corners is a challenging task, which is typically not available in most standard vehicle configurations in the automotive market, as it requires significant effort.
The goal of this activity is to develop an efficient methodology capable of satisfying this requirement and suitable for implementation on stock vehicles.
Thesis ProjectAs thesis student, you will be supported by your Tutor and will mainly face the following tasks:
Literature review about the considered theme;
Vehicle instrumentation and on-road tests to collect data from vehicle;
Data analysis and signal processing;
Development and implementation of the algorithm;
Result validation;
Detailed Report with activity description;
Facultative:
Vehicle on-board integration for final validation.
Requisiti:
Key Requirements
Passion and interest in vehicle dynamics;
Good team working skills;
Innovation oriented;
Responsibility and integrity;
Good interpersonal and communicative skills;
Flexible and hardworking;
Good time management capability and proactivity;
Good knowledge of Microsoft Office Package (Word, Excel, PowerPoint).
Preferential Requirements
Good experience or coursework in vehicle dynamics;
Familiarity with MATLAB/Simulink, or python;
Good knowledge of physical modelling;
Basic knowledge of Machine Learning applications, focusing on Neural Networks;
Basic knowledge or coursework in signal processing from vehicle;
Interest in mechatronics systems;
Interest in vehicle chassis dynamics controls.
Altre informazioni:
Additional Information
Education:
Attending a Master's Degree in Mechanical or Mechatronics;
Language skills:
Fluent knowledge of written and spoken Italian and English (at least B2 level);
Workplace:
Moncalieri (TO), Italy;
Contract type:
thesis project with estimated duration about 6 months;
Benefit:
company canteen, multicultural environment.
Italdesign is committed to create an inclusive, diverse and safe workplace, and we are proud to be an equal opportunity employer (L.903/77).
We welcome applications from all candidates, regardless of the gender, ethnic, religion, sexual orientation, disability, parental status, or social origin.
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