PhD Candidate in Implementation of Smart Infrastructures for Optimizing the Operational Design Domain (ODD) for Automated Vehicles.

PhD Candidate in Implementation of Smart Infrastructures for Optimizing the Operational Design Domain (ODD) for Automated Vehicles.

Ceit
Ceit
San Sebastián, SpainCompetitiveHybridAdded todayEntryFixed Term🇪🇸Spanish: Intermediate🇬🇧English: Required

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About the role

CEIT

Ceit is a non-profit research center created by the University of Navarra in 1982.

The center's main objective is to carry out applied industrial research projects through close collaboration with R&D departments.

Ceit promotes excellence in applied research by publishing non-confidential results and participating in scientific and technical forums. The center also has a broad doctoral teaching program in the industrial area.

Ceit promotes high-value-added solutions through research projects and the training of young researchers in a commercially productive framework.

What you'll do

Job description

Are you a passionate and curious person about new technologies? Do you like to find real applications for everything you have studied?

This is your opportunity to apply engineering and transform the future of mobility to make it safer, more efficient, and more sustainable.

This doctoral thesis will explore the implementation of smart infrastructures to improve the Operational Design Domain (ODD) in dynamic work zones, optimizing the circulation of connected, automated vehicles and AGVs. In addition, it will analyze how these infrastructures can improve communication and coordination between vehicles and their environment, increasing safety and operational efficiency. The research will consider new technologies in advanced decision systems (including artificial intelligence), V2I (Vehicle-to-Infrastructure) and I2V communications, as well as techniques for trajectories and optimal control.

The research will be developed as follows:

  • State-of-the-Art Study: An exhaustive review of smart infrastructures, connected/automated vehicles (CAVs), and AGVs will be carried out, with special emphasis on decision and control systems.
  • Smart infrastructure architecture: The operational environment (ODD) will be modeled, and the parameters for vehicle circulation and coordination will be established.
  • Development of Simulations in Virtual Environments: Simulation scenarios that replicate real situations in industrial and road environments will be implemented.
  • Pilot Implementation in Real Environments: The smart infrastructure will be implemented in real scenarios, both on roads and in industrial facilities.
  • Presentation of Results: The results of the simulations and the pilot implementation phase will be analyzed.
  • Publication of Results: The results will be documented and presented in international journals and conferences, contributing to knowledge in the field of automated/autonomous vehicles. Finally, the thesis will be published.

The candidate's research will contribute significantly to the advancement of the connected and autonomous vehicle sector and its interaction with infrastructure. This work will involve a series of achievements that will improve the performance of automated vehicles in different environments (ODD). This translates into greater efficiency and safety in critical environments, optimizing the circulation of CAVs and AGVs and reducing operational risks in industrial areas and public roads. This will allow the vehicles' work environments to be extended and will contribute to the creation of safer maneuvers.

What we're looking for

Requirements

Required qualification:

Graduate with a master's degree in Engineering or Mathematics (Industrial, Artificial Intelligence, Telecommunications, Computer Science, Data Science, Electronics, among others).

Languages:

Upper-intermediate English, Spanish

Computer skills:

Comfortable command of the digital environment and knowledge of programming, simulation, and data analysis technologies will be positively valued. Proficiency in Python, Linux, and object-oriented programming in general.

What you'll get

We offer:

Flexible schedule: intensive working day on Fridays and in summer

Teleworking: 6 days per month

Continuous training: technical and language training

Work-life balance

23 vacation days per year + Christmas holidays

Sports facilities to encourage the practice of sport

Free university tuition at the University of Navarra

Purchase Club: discounts on stores, travel, hotels...

Access to Premium health insurance at the University of Navarra Clinic

Good working environment based on trust and teamwork. Young, multidisciplinary, and dynamic work environment.

Joining a leading international technology company

Opportunities for growth and professional development, and a good working environment based on trust and teamwork.

Time to complete the thesis: 4 years

How you'll work

hybrid

About the company & team

R&D

Hiring process

Send by email/attach to the application the following documentation:

Cover letter.

Updated CV with photograph.

Academic record for bachelor's and master's degrees (if applicable)

Additional information

https://www.noticiasdegipuzkoa.eus/gipuzkoa/2024/01/29/gipuzkoa-entra-consorcio-europeo-banco-7792800.html

This job was automatically translated to English, .

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