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I-2501 – PHD CANDIDATE IN SUBJECTIVE HANDLING METHODOLOGIES FOR AUTOMATED VEHICLES

I-2501 – PHD CANDIDATE IN SUBJECTIVE HANDLING METHODOLOGIES FOR AUTOMATED VEHICLES

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/

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.

 

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.

 

Your LIST benefits

·         An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects.

·         Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society.

·         Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do.

·         An environment encouraging curiosity, innovation and entrepreneurship in all areas.

·         Personalized learning programme to foster our staff’s soft and technical skills.

·         Multicultural and international work environment with more than 50 nationalities represented in our workforce.

·         Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions.

·         Gender-friendly environment with multiple actions to attract, develop and retain women in science.

·         32 days paid annual leave, 11 public holidays, 13-month salary, statutory health insurance.

·         Flexible working hours, home working policy and access to lunch vouchers.

 

Apply online

https://www.list.lu/en/jobs/informatics/

Your application must include:

·         A motivation letter oriented towards the position and detailing your experience.

·         A scientific CV with contact details.

·         List of publications (and patents, if applicable).

·         Contact details of 2 references (optional).

 

Application procedure and conditions:

·         LIST is an equal opportunity employer and is committed to hiring and retaining diverse personnel. We value all applicants and will consider all competent candidates for employment without regard to national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age or disability.

·         Applications will be reviewed on an ongoing basis until the position is filled.

·         An assessment committee will review the applications and select candidates based on guidelines that aim to ensure equal opportunities. 

·         The main criteria for selection will be the correspondence of the existing skills and expertise of the applicant with the requirements mentioned above.

·         Please note that by applying you consent to share your application with Goodyear partners: Dr Mirko LEDDA, Dr. Christine BOYLAN, Dr. Adam BIRDSALL, Dr. Véronique MARTIN-LANG and Dr Marcel WIRTZ.

 

 

PhD additional conditions:

·         Supervisor at LIST: Dr. Roderick McCall (roderick.mccall@list.lu)

·         Supervising committee: Prof. Dr. Leon Van der Torre (University of Luxembourg), Dr. Guillaume Gronier (LIST)

·         Work location: Luxembourg Institute of Science and Technology (LIST), Belval, Luxembourg

·         PhD enrolment: University of Luxembourg, Belval, Luxembourg

Candidates shall be available for starting their position in 2025 Q3 Q4. Please note that university enrolment fees (currently 200 EUR per semester) must be covered by the successful applicant.

Your master diploma must be recognized in Luxembourg. Please refer to:

https://www.uni.lu/en/admissions/diploma-recognition/

https://guichet.public.lu/fr/citoyens/enseignement-formation/etudes-superieures/reconnaissance-diplomes.html

 

REQUIREDLANGUAGES

To be considered for this position it is crucial that you have knowledge of the following languages
  • Read C1 Advanced
    Write C1 Advanced
    Speak C1 Advanced

OPTIONAL LANGUAGES

The following languages are optional but are considered a plus.
  • Read C1 Advanced
    Write C1 Advanced
    Speak C1 Advanced
minimum required Education
Required work experience in years
0 or more years
Job Category
Details
Employment type
Contract type
Hours per week
40
Contract period
Months
Contract duration
48
Location
Country
City
Esch-Sur-Alzette
Profile type
Phd Student
UO
DIGITAL (ITIS)
Employment type
Full-Time
Recruiter in charge
Cathy SCHWARTZ
Contract Type
Fixed Term contract

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