Scientific Developper and Researcher

il y a 3 jours

Gent, Belgique Universiteit Gent Temps plein

**Faculty of Bioscience Engineering**:

- **Department: BW26 - Data-analyse en wiskundige modellering**:

- **Occupancy rate:100%**:

- **Number of positions: 1**:

- **Type of employment: Contract of limited duration**:

- **Term of assignment: 2 jaar**:

- **Wage scale: WM1 to WM4 (master degree or doctoral degree)**:

- **Required diploma:Master or PhD**

**ABOUT GHENT UNIVERSITY**

Ghent University is a world of its own. Employing more than 15,000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities. With its 11 faculties and more than 80 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.

**YOUR TASKS**

The water sector is under increasing pressure worldwide. To ensure water security and sustainable development, major paradigm shifts are in progress. A first important shift is the transition towards a circular water and resource economy. This transition is inherently a multidisciplinary and multi-objective effort that implies bridging historical silo’s (for example drinking water, wastewater, hydrology for rainwater harvesting, agriculture, industry).
The second paradigm shift is the digital transformation and the emergence of powerful and automated model simulations that support real-time smart decision making.

However, to achieve powerful digital tools that can support holistic decision making towards more circular and sustainable water management, many different data sources, models and submodels need to communicate with each other in a more efficient and automated way.
For example, the development of a digital twin for water management in a city requires heterogeneous sources of data (e.g., water quality, energy, cost, meteorology, etc.) and various models/sub-models (e.g., models for sewer networks, hydrology, river hydraulics, water/wastewater treatment technologies, economic models, etc.) of the system to be connected to each other and communicate in an efficient and automated manner.

WaterFRAME (Water Fit for Reuse Architecture and Modelling Ecosystem) is a FWO Strategic Basic Research (SBO) project that aims at developing an interoperable holistic digital framework for the water domain that is able to bridge historical data and modelling silo’s to support high-level decisions on water management. The WaterFRAME decision support system will be realized through standardized data formats and the concept of ontologies (a conceptual structure of a domain of interest including all objects and the semantic relationship between them). A library of ontologies will be developed based on specific use cases that encompasses all data, information, models, parameters,... within the water reuse domain. Data and models will be then mapped onto the ontologies to create knowledge graphs which allows to create a flexible, interlinked and dynamic data representation of the real-world which can serve as a digital twin of the system under study. An optimization layer will be developed on top of the dynamic knowledge graph that will interact with the domain ontologies to provide support for decision making through data extraction, analysis, model simulations and automatic optimization. The knowledge graph will moreover be augmented with environmental indicators through LCA analysis.
The methodology developed within WaterFRAME will be applied to 3 use cases with in-silico and real datasets for a proof of concept implementation of the holistic decision making framework.

In this position, you will be working in a dynamic research group and will be actively involved in the state-of-the-art research on mathematical modelling, integrated asssement and interoperability. In particular, you will contribute to development of an ontology model of the water reuse domain within the context of the WaterFRAME project as well as a dynamic knowledge graph that will serve as the input for an optimization layer (developed within another work package of the project) to provide quantitative indicators for holistic decision making.

Your specific tasks include:

- You will conduct a literature review on the existing ontologies and semantic models for the water and water-related sectors at local and global levels.
- You develop ontologies for the water reuse domain such as ontology for rain water collection and storage, ontology for treatment processes, ontology for water reuse cases (e.g., wastewater effluent, drinking water, gray water), ontology for mathematical models within the water reuse domain.
- You develop a library of interconnected ontologies based on the one developed in the previous task.
- You develop methodologies for alignment of the ontologies with the aim of checking for semantic, syntactic

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