891 Best Jobs in Esparreguera (May 2026) - page 4

PhD: "AI for Automotive Architecture Validation"

3 days ago

Martorell

PhD: AI for Automotive Architecture Validation Unsupervised learning and simulation for intelligent system testing. This PhD program is a collaboration between SEAT and the Universidad Autónoma de Barcelona (UAB), where strategic research projects are carried out. SEAT is committed to quality research and to advance in new areas of the future. For this reason, we are currently looking for motivated candidates to join our teams. Project Description Context The increasing complexity of modern vehicle electrical and electronic (E/E) architectures exceeds the capabilities of traditional validation approaches. Manual test‑case definition is time‑consuming, error‑prone, and increasingly insufficient to cover real driving conditions or rare edge cases. Conventional validation heavily depends on physical prototypes, leading to higher development and logistics costs as well as longer development cycles. To address these challenges, new data‑driven and intelligent validation strategies are required to ensure robustness, scalability, and efficiency in future vehicle development. Description This PhD project aims to develop an AI‑driven validation system capable of learning autonomously from series‑production vehicles. Using unsupervised learning techniques, the system will model normal system behavior and detect anomalies or unexpected behaviors in development vehicles without the need for predefined test cases. Furthermore, the integration of the proposed AI solution with simulation environments will enable the creation of realistic, data‑driven test scenarios. This approach will significantly enhance validation coverage, including scenarios that are difficult or costly to reproduce with physical testing alone. Overall, the project will contribute to more efficient, robust, and future‑proof validation processes for next‑generation automotive architectures. What do we offer? Possibility to carry out a strategic and research project Access to a leading company in the automotive sector Be part of the Doctorate collective of the company Full‑time 8:00 h‑16.35 h (flexible schedule) Temporary contract for 3 years Required Qualifications Bachelor degree in Artificial Intelligence, Computer Science, Telecommunications, Physics, Mathematics, or related engineering fields and Master's degree in engineering or computer science. Average score higher than 6.5. Solid academic background in AI, physics, and/or mathematics. Additional knowledge in quantum physics or quantum computing acquired during undergraduate or master’s studies will be considered an asset. Interest in research within the business world. Advanced Spanish and English. Technical Skills Experience or strong interest in Machine Learning and data analysis. Good knowledge of Python and AI tools/frameworks. Interest in unsupervised learning and simulation environments. Knowledge of quantum computing or automotive systems is a plus (not mandatory). Personal Skills Strong analytical and problem‑solving mindset. Solid background in mathematics (linear algebra, statistics). Motivation for research and innovation. Ability to work autonomously and in multidisciplinary teams. Diversity & Inclusion At SEAT, we firmly believe in the power of diversity and inclusion as fundamental pillars of our culture, where everyone can be authentically free and freely authentic. We work with passion to create an environment in which every voice is heard and valued, ensuring equal opportunities for all people, regardless of sexual characteristics, gender identity or expression, sexual orientation, nationality, ethnicity, cultural identity, age, beliefs, or any other form of diversity. Our commitment to diversity and inclusion is a priority that we hold ourselves accountable for every single day. Join us and become part of our team! #SEAT (PhD) #J-18808-Ljbffr

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