MSCA Doctoral Network PhD student (100%) (m/f/d)

100%)With your expertise, you will drive applied R&D projects and service contracts to success.The Training Wind Energy Experts on Digitalisation (TWEED) Doctoral Network (DN) aims to train the next generation of excellent researchers equipped with a full set of technical and complementary skills to develop high-impact careers in wind energy digitalisation.

Co-funded by the European Com-mission through the Horizon Europe Marie Sklodowska Curie Doctoral Networks Programme, the TWEED network offers 12 Doctoral Candidates (DCs) positions to provide high-level training in the new emerging research field of Wind Energy Data Science and Digitalisation.

The goal of this DC project, titled Novel methods for a knowledge graph generation approach within TWEED's Virtual Wind Farm Hub , is to investigate, design and implement a knowledge graph gen-eration approach for the Virtual Wind Farm Hub within the TWEED project.

The Virtual Wind Farm Hub will be an open platform to facilitate the exchange of datasets, research results and applications and allow domain experts and data scientists to prototype new services.

Due to its status as a Swiss University of Applied Sciences, OST cannot matriculate or award PhD degrees. The PhD student will therefore be matriculated at ETH Zurich under Prof.

Eleni Chatzi (Chair of Structural Mechanics and Monitoring), who will co-supervise the thesis. The main supervi-sor is Dr.

Sarah Barber at OST (Institute of Energy Technology), and a further co-superviser is Prof. Mitra Purandare at OST (Institute for Software).

Required skills and qualifications : Completed Master's degree (at the date of appointment) in a technical subject such as me-chanical engineering, electrical engineering, or computer science, or equivalentStudents currently in the final year of a Master's degree are encouraged to apply but should note that if selected, they will be expected to start their PhD in the first quarter of 2025.

Experience of and understanding of basic knowledge engineering concepts, including knowledge graphs, semantic web, ontologies and semantic artefactsExperience with programming languages such as Python, Javascript and Java Interest in and ability to work on interdisciplinary projects with a range of different people from outside your domain, especially at the interface between computer science and engi-neeringExcellent writing and communication skills in EnglishBasic communication skills in German, or willingness to learnAbility to work in a team and independentlyWillingness to follow the mobility plan of the programme (conduct secondments in the country of the host institute)Fulfill the requirements for admission to the PhD program at the Department of Civil, Envi-ronmental and Geomatic Engineering at ETH Zurich described here : https : / / baug.

ethz.ch / en / doctorate / after-2022.htmlOptional : Experience with tools such as Spring, Node.js, Angular, React, Mongo DB, Elas-ticsearch or TensorFlowOptional : Experience in wind energyEligibility criteria : At the time of recruitment, applicants must not hold a doctoral degree or equivalent.

Applicants can be of any nationality. However, applicants must not have resided or carried out their main activity (work, studies, etc.

in the country of the recruiting organisation for more than 12 months in the 3 years immediately before the appointment.

This excludes short stays such as holidays or compulsory national service.We offer : Opportunity for professional and research-based development in a motivated and perfor-mance-oriented teamVaried area of responsibility with creative opportunities in a dynamic university environ-ment modern employment conditionsAn attractive workplace on the shore of lake Zurich and in immediate vicinity of the Rap-perswil train station and historic (small) townThe application should be submitted before November 30th, 2024 on our online platform at the button "Jetzt bewerben!" below.

More information about the position is available here : https : / / t.ly / uZEMUFor questions, please contact Sarah Barber at sarah.

[email protected] FachhochschuleOberseestr. 108640 Rapperswil+41 58 257 41 11Karriere / Jobs OST