I-2502 - Post Doc in Knowledge-based Hybrid Ai for Car Driver Modelling in Complex Maneuvers

**I-2502 - POST DOC IN KNOWLEDGE-BASED HYBRID AI FOR CAR DRIVER MODELLING IN COMPLEX MANEUVERS**:

- Réf **ABG-132969**
- Stage master 2 / Ingénieur
- Durée 24 mois
- Salaire net mensuel Negotiable
- 19/07/2025
- Luxembourg Institute of Science and Technology
- Lieu de travail- Luxembourg
- Champs scientifiques- Informatique

**Établissement recruteur**:
**Site web**:
**The Luxembourg Institute of Science and Technology (LIST)** is a Research and Technology Organization (RTO) active in the fields of materials, environment, 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 six Strategic Research Programs: Data Science, Tire as a Sensor, End-of-Life Tire Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships.

As part of our Data Science strategic research program, we are looking for a Post Doctoral researcher with expertise in Knowledge Graph Engineering and explainable hybrid Artificial Intelligence, i.e., the mix of formal knowledge representation and reasoning with sub-symbolic data-driven machine learning approaches, to work on car-driver digital twins together with two PhD students, especially to propose new models and algorithms for complex maneuvers, and building a parametric autonomous model of drivers reproducing a close to reality human behavior in simulation. The work is part of a project comprising experts from LIST and Goodyear with external experts from leading universities. The research team spams Luxembourg, Europe and the USA and will make use of world-leading car simulator facilities. Work in the project comprises human-factors research, artificial intelligence and data analytics.

**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

**Description**:
**Temporary contract | 24 months | Full-time/40h | Belval Are you passionate about research? So are we Come and join us**

**How will you contribute?**

Do you want to shape the driver experience of the future?

**Activities**:

- Conduct extensive background literature analysis.
- Support PhD students in their work, focusing on the combination of knowledge-based and data-driven approaches
- Develop new hybrid AI models and algorithms
- Implement a prototype of a parametric Driver Digital Twin
- Publish in peer-reviewed journals and conferences;
- Organise events, including workshops at conferences;
- Present papers at scientific conferences;
- Take part in the relevant training.

**Profil**:
**Education**
- PhD in topics related to Knowledge Graph Engineering, Hybrid Artificial Intelligence or Human Digital Twin including hybrid knowledge-based and data-driven approaches or related to car driver modelling.

**Experience and skills**
- Excellent skills in knowledge representation and reasoning and sub-symbolic AI;
- Experience in explainable AI
- Experience with the modelling of human factors and understanding of human behavior;
- Experience with human modelling or human digital twins
- Experience in the driving domain and more specifically in car driver modelling is an asset.

**Language skills**
- Proficiency in English (written and spoken). Knowledge of French is an asset but not mandatory.

**Prise de fonction**:

- Dès que possible