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Software has been playing a prominent role in vehicle for many years now, as a large majority of the functions of a vehicle are mostly implemented in software. Some of next generation’s Electronic Control Units (ECUs) will be equipped with powerful System-on-Chips (SOCs), each containing several multicore processors with specific capabilities (e.g., lock-step execution for safety-critical code, low-power execution, etc). Larger ECUs routinely support hypervisors hosting Virtual Machines (VM) running OSes of different types (e.g., real-time, infotainment or general-purpose OS). Besides VMs, software containers are also technologies that start being considered for use in the automotive domain to ease software update.
In that landscape, a new trend is that the runtime execution platform increasingly relies on software, allowing for more modularity and providing a lot of flexibility in terms of configuration, or re-configuration after new functions have been deployed. For instance, software components executing in the VMs may communicate through software-implemented (“virtual”) network interfaces connected to a virtual Ethernet switch, i.e. software replacing the actual HW. More generally, what has been observed over the last decade is that the complexity is migrating from the hardware (in the past, vehicles sometimes had 50+ ECUs, most running a few functions) to the software (today E/E architectures tend to rely on a lesser number of powerful ECUs, with complex internal software architectures). This era of increasing reliance on software in the automotive domain is referred to as Software-Defined Vehicle (SDV).
If SDV holds much promises, it requires us to rethink the existing design, development and verification approaches:
This Phd thesis explores these questions with the aim to contribute to the design of provably-correct SDV E/E architectures.
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We ensure a full consideration for applications received by the 30th of October 2021, however early submission is encouraged. Applications sent by e-mail will not be considered; please apply ONLINE.
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|Intitulé||Doctoral researcher in Software-Defined Vehicles|
|Employeur||University of Luxembourg|
|Job location||6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg|
|Publié||octobre 14, 2021|
|Date limite d'inscription||octobre 30, 2021|
|Types d'emploi||PhD  |
|Domaines de recherche :||Communications informatiques (réseaux),   Langages de programmation,   Génie logiciel,   Génie électrique,   L'ingénierie numérique,   Ingénierie des systèmes,   Électronique  |