Doctoral researcher in Software-Defined Vehicles

Updated: about 1 month ago
Job Type: FullTime
Deadline: 04 Nov 2021

Doctoral researcher in Software-Defined Vehicles
(Valid from 02/09/2021 to 04/11/2021)

Language: English (UK)
Country: Luxembourg

Organisation Computer Science
data:
Job number: UOL04261
Contract Fixed Term Contract
Type:
Duration 36 Month
Schedule Full Time
Type:
Work Hours 40.0 Hours per Week
Expected 01/09/2021
Start Date:

The University | About us...
The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary
character. It fosters the cross-fertilisation of research and teaching, is relevant to its country, is known worldwide for its research and teaching in
targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education.

The Faculty of Science, Technology and Medicine (FSTM) contributes multidisciplinary expertise in the fields
of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to
generate and disseminate knowledge and train new generations of responsible citizens, in order to better understand, explain and advance society and
environment we live in.

The primary mission of the Department of Computer Science (DCS) is to conduct fundamental and applied research in the area of computer, communication
and information sciences. The goal is to push forward the scientific frontiers of these fields. Researchers strive towards research goals that are of
broad impact for society, in addition to their innovative scientific content.

Your Role...
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:

o SDV may require more software-centric design and development methodologies.
o Additional run-time mechanisms, e.g. implemented in middleware software layers, may be needed to complement current standards and technologies.
o Configuration and Design-Space-Exploration (DSE) algorithms need to be extended to support SDV.
o Performance evaluation in the automotive domain is typically conducted with worst-case scheduling analysis (“schedulability analysis”) at the level
of a processor or at system level (considering “timing chains” over different processors and networks). Are the existing techniques, such as
system-level compositional analysis, able to cope with the complexity of next-generation execution platforms? If not, what would be the techniques
that could allow verifying that non-functional concerns like timing and safety are met?

This Phd thesis explores these questions with the aim to contribute to the design of provably-correct SDV E/E architectures.

What we expect from you…
o Master’s degree in Computer Science or Electrical Engineering,
o Ideally, some background in embedded systems, networking and model-based design,
o Strong analytical capacities, creativity and commitment,
o Good programming skills,
o Good written and oral English skills.

In Short...
o Contract Type: Fixed Term Contract 36 Month - extendable up to 48 months if required
o Work Hours: Full Time 40.0 Hours per Week
o Starting date: As soon as possible
o Location: Belval
o Employee and student status
o Job Reference: UOL04261

How to apply...
Applications in English should include:

o A motivation letter, with a clear statement of interest for the position,
o A detailed Curriculum Vitae,
o A transcript of the grades you received in your Bachelor and Master studies,
o An abstract of your master thesis with a download link,
o The names and contact details of two referees.

We ensure a full consideration for applications received by the 30th of September 2021, however early submission is encouraged. Applications sent by
e-mail will not be considered; please apply ONLINE.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to
gender, and not only, in recruitment and career progression of our staff.

In return you will get…
o Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University
of the Greater Region” (UniGR).
o A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site
with excellent infrastructure.
o A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous
non-academic partners such as ministries, local governments, associations, NGOs …
o Find out more about the University
o Addresses, maps & routes to the various sites of the University

Further information...
For further information, please contact Prof. Nicolas NAVET, Email: nicolas.navet@uni.lu

Apply here https://emea3.recruitmentplatform.com/syndicated/private/syd_apply.cfm?I... />
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