I-2501 – PHD CANDIDATE IN SUBJECTIVE HANDLING METHODOLOGIES FOR AUTOMATED VEHICLES
ABG-129303 | Thesis topic | |
2025-03-08 | Public/private mixed funding |

- Computer science
Topic description
Temporary contract | 14+22+12 months | Full-time/40h | Belval Are you passionate about research? So are we! Come and join us
The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment, space and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.
In 2024, LIST and GOODYEAR signed the second phase of their partnership, 2024-2029, building on the outcomes of their previous collaboration and entering new technological areas as well. GOODYEAR-LIST partnership 2.0 embraces Luxembourg's National priorities, such as Sustainability, Digital transformation and Circular economy, through the execution of five Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire Valorization, Sustainable Materials for Next Generation of Pneumatic Tires, and Structure-Process-Properties Relationships.
Do you want to know more about LIST? Check our website: https://www.list.lu/
Funding category
Funding further details
Presentation of host institution and host laboratory
How will you contribute?
Vehicle automation significantly changes how occupants perceive the experience of riding in a vehicle, whether they are the driver (where this remains required) or purely the passenger. At present society is still going through a transitional phase on understanding how different automated driving parameters shape this experience, and for automotive manufacturers and part suppliers how to tune their products to offer the optimal subjective and objective experiences to their customers. This PhD will focus on improving this understanding, identifying critical parameters and developing test approaches to address this gap.
The candidate will be expected to lead their work and undertake detailed studies using a combination of subjective and objective measurement approaches. The candidate will have the opportunity to use a world-class driving simulator at Goodyear , and to publish at conferences and in journals. The candidate will be able to spend time at LIST and Goodyear Luxembourg to undertake their work.
Activities
- Conduct extensive background literature analysis, including works in both computer science, psychology and automated control.
- Develop testing approaches and undertake extensive simulator studies.
- Writing of research papers and publication of peer-reviewed journal articles.
- Write a PhD thesis in the field of computer science and human-factors related topics
- Take part in PhD and research training.
- Participation to outreach activities of LIST.
Website :
Candidate's profile
Is Your profile described below? Are you our future colleague? Apply now!
Education
- A Masters degree or Engineer diploma in computer science, automated control or engineering science, cognitive science, or data science.
Experience and skills
- Demonstrated knowledge of vehicle automation primarily from a human-factors perspective.
- Some experience and/or knowledge of how to conduct studies with human participants, in particular the application of subjective and objective measurement techniques.
- Good background in at least one of the following: computer science, psychology or cognitive science.
- Relevant programming experience, in particular with data analysis and statistical software.
Language skills
- Proficiency in written and spoken English and good level written and spoken. Knowledge of French is an asset but not mandatory.
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