I-2312 - Phd Candidate Semantic Drift in

il y a 2 semaines

EschsurAlzette, Luxembourg Luxembourg Institute of Science and Technology (LIST) Temps plein

Description
**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 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.

**You ‘d like to contribute as PhD student? Join our IT for Innovation Services department**:
The IT for Innovative Services (ITIS) department, with its 100 researchers and engineers, focuses on the digital transformation of operations in organizations with traditional environments and digital ecosystems, with the aim of improving their performance and innovation capacity. The common thread throughout ITIS is to develop the most efficient use of big data to ensure the most appropriate decision-making processes.

The department relies on the Data Analytics Platform: a hybrid infrastructure covering the entire range of data analytics activities. The platform is based on three pillars: a high-performance computing (HPC) infrastructure, a cognitive analytics pillar and an interactive visualization wall (Viswall).

**How will you contribute?**:
In order to be efficient, the ecosystem of models forming a MDDT should be a consistent whole: composed of conceptually aligned models (i.e., views) and metamodel (i.e., viewpoints). Integrating models into a federation of models [3] produced by different actors (experts and non-experts) and representing different domains is a real challenge, even when considering mature model engineering approaches [4].

At the border of each models, beyond the _a priori _conceptual knowledge expression, the stakeholder will certainly have to negotiate, make compromises and understand each other's. Thus, the models supporting them may have to be adapted: from one standard to another, adding/removing elements, etc. _i.e.,_ making the models flexible [6] to share a common view on a given problem. As a result, each concept behind the models can have slightly different interpretation (reinforced in informal languages). This will lead to: (i) a semantic mismatch and (ii) a semantic drift induced by the evolution of the models during their lifecycle [5] that should be captured and assimilated during the semantic harmonization.

1. Acquire a deep and clear understanding of the literature of the field semantic drift and model alignment, and model flexibility

2. Detect and characterize semantic drift and mismatch

3. Propagate the detected drift/mismatch to other artifact in order to federate a set of interconnected models

4. Participate in the development of tools supporting the proposed approach and its evaluation on dedicated use-case from the mobility domain.

You hold a Master’s degree or diploma in computer science or data science. You have good knowledge engineering, model engineering or software engineering.

You are used to communication effectively in English, both in writing and orally.

Additionally, you have good knowledge in **Knowledge representation and Model Driven Engineering.** You have good knowledge in Modelling, including system modelling and good programming skills

**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
- A motivation letter oriented towards the position and detailing your experience;
- Sketch of PhD project
- A scientific CV with contact details;
- List of publications (and patents, if applicable);
- Contact details of 2 references (optional).

**Application procedure and conditions**:

- Applications will be reviewed on an ongoing basis until the position is filled;
- The main criteria for selection will be the correspondence of the existing skills and expertise of the applicant with the requirements mentioned above.

**PhD additional conditions**:

- Work location: Luxembourg Institute of Science and T

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