OST – Ostschweizer Fachhochschule Jobs - ostjob.ch
1’504 Firmen für deine Suche.
  • drucken
  • Per E-Mail teilen

OST – Ostschweizer Fachhochschule

Oberseestrasse 10
8640Rapperswil
  • drucken
  • Per E-Mail teilen

OST – Ostschweizer Fachhochschule

Die OST - Ostschweizer Fachhochschule ist eine interkantonale und interstaatliche Fachhochschule mit Standorten in Buchs, Rapperswil-Jona und St.Gallen. Mit exzellenten Bachelor- und Masterstudiengängen sowie Weiterbildungen auf der Höhe der Zeit bilden wir zukunftsorientierte Fach- und Führungskräfte aus. Im Bereich der anwendungsorientierten Forschung und Entwicklung sowie Dienstleistungen gehören wir national zu den führenden Institutionen.
Die OST - Ostschweizer Fachhochschule ist eine interkantonale und interstaatliche Fachhochschule mit Standorten in Buchs, Rapperswil-Jona und St.Gallen. Mit exzellenten Bachelor- und Masterstudiengängen sowie Weiterbildungen auf der Höhe der Zeit bilden wir zukunftsorientierte Fach- und Führungskräfte aus. Im Bereich der anwendungsorientierten Forschung und Entwicklung sowie Dienstleistungen gehören wir national zu den führenden Institutionen.
Merken

28.11.2024

OST – Ostschweizer Fachhochschule

MSCA Doctoral Network PhD student (100%)

  • OST – Ostschweizer Fachhochschule

  • 8640Rapperswil

  • 28.11.2024

  • Lehrstelle 100%Management / Kader

Lehrstelle 100%

Management / Kader

8640Rapperswil

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 Commission 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 generation 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 supervisor 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 mechanical engineering, electrical engineering, or computer science, or equivalent Students 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 artefacts Experience 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 engineering Excellent writing and communication skills in English Basic communication skills in German, or willingness to learn Ability to work in a team and independently Willingness 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, Environmental and Geomatic Engineering at ETH Zurich described here: https://baug.ethz. ch /en/doctorate/after-2022.html Optional: Experience with tools such as Spring, Node.js, Angular, React, Mongo DB, Elasticsearch or TensorFlow Optional: Experience in wind energy.
Inserat ansehen