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Position: PhD student/scientific assistant in applied R&D regarding numerical simulation, cloud computing & Artificial Neural Network (ANN) technology
Institution: Zürcher Hochschule für Angewandte Wissenschaften
Location: Winterthur, Zürich, Switzerland
Duties: Creative, independent an high-quality aR&D at the crooss section between numerical simulation, cloud computing and ANN technoloogy; Development of ANNs to (partially) take oover the functionality of advanced numerical simulation software; Develop and apply Invertible Neural Networks (INNs) to solve forward and inverse problems correlating numerically predicted physical properties of porous media to material parameters; Establish cloud-computing-based workflow to allow users to train their own ANNs/INNs by creating simulation data online; Develop solutions for software based integration of numerical simulation tools and ANN technoloogy into a high yield cloud platform; Interpret experimental results and simulated results regarding physical properties of porous media
Requirements: Master Degree in Engineering Sciences, Software Development, Mathematics or Physics; Knowledge about and application experience concerning Artificial Intelligence Software is a must; Knowledge about and application experience concerning Numerical Simulation Software is a bonus, where knowledge of OpenFOAM is counted as big bonus; Knowledge about and application experience concerning Cloud Technology is a bonus; Advanced skills in software development are a big bonus; Drive to quickly move R&D results to application; High committment towards excellency; 100% fluency in written and oral English is a must, skills in German are a bonus; Good in presenting; Willingness to spend 12-14 weeks (= one lecture semester) at partner University (UiT Arctic University of Norway), if need be; Duties: Self-efficient, high-quality R&D in the cited fields; Regular presentation of advances to development partners from industry and colleagues in academia, at scientific conferences and regular (online) meetings; Finding creative, efficient and mainly: working solutions; Always find ways to consider inputs from supervisor(s) and development partners; Simultaneously focus on industrial as well as academics requirements; Actively push work towards publishable results; Publishing results in high-quality journals is essential
   
Text: PhD student/scientific assistant in applied R&D regarding numerical simulation, cloud computing & Artificial Neural Network (ANN) technology 70 % This exciting PhD post, within a creative and productive team is about latest developments at the cross section between numerical simulation, cloud computing and ANN technology. School: School of Engineering Starting date: November 1st, 2021 Your role Creative, independent an high-quality aR&D at the crooss section between numerical simulation, cloud computing and ANN technoloogy Development of ANNs to (partially) take oover the functionality of advanced numerical simulation software Develop and apply Invertible Neural Networks (INNs) to solve forward and inverse problems correlating numerically predicted physical properties of porous media to material parameters Establish cloud-computing-based workflow to allow users to train their own ANNs/INNs by creating simulation data online Develop solutions for software based integration of numerical simulation tools and ANN technoloogy into a high yield cloud platform Interpret experimental results and simulated results regarding physical properties of porous media Your profile Master Degree in Engineering Sciences, Software Development, Mathematics or Physics Knowledge about and application experience concerning Artificial Intelligence Software is a must Knowledge about and application experience concerning Numerical Simulation Software is a bonus, where knowledge of OpenFOAM is counted as big bonus Knowledge about and application experience concerning Cloud Technology is a bonus Advanced skills in software development are a big bonus Drive to quickly move R&D results to application High committment towards excellency 100% fluency in written and oral English is a must, skills in German are a bonus Good in presenting Willingness to spend 12-14 weeks (= one lecture semester) at partner University (UiT Arctic University of Norway), if need be Duties: Self-efficient, high-quality R&D in the cited fields Regular presentation of advances to development partners from industry and colleagues in academia, at scientific conferences and regular (online) meetings Finding creative, efficient and mainly: working solutions Always find ways to consider inputs from supervisor(s) and development partners Simultaneously focus on industrial as well as academics requirements Actively push work towards publishable results; Publishing results in high-quality journals is essential Jetzt online bewerben ­ This is what we stand for Zurich University of Applied Sciences ZHAW is one of Switzerland's largest multidisciplinary universities of applied sciences, with over 13,000 students and 3,000 faculty and staff. As one of the leading Engineering Faculties in Switzerland, the emphasises topics which will be relevant in the future. Our 14 institutes and centres guarantee superior-quality education, research and development with focus on the areas of energy, mobility, information and health. Standing out among other institutes of applied sciences, the has a particular-ly strong focus on applied R&D in the field of simulation-based product- and process development. As such it enjoys an outstanding Swiss-/European-wide reputation for delivering innovative, high quality results for its many develop-ment partners from industry and academia. Das dürfen Sie erwarten Wir bieten hochschulgerechte Arbeits- und Anstellungsbedingungen und fördern aktiv die Personalentwicklung unserer Mitarbeitenden und Führungspersonen. Eine detaillierte Beschreibung der Vorteile finden Sie auf der Seite . Hier die wichtigsten Eckpunkte: Contact Prof. Dr. Gernot Boiger Head of Research Area Multiphysics Modeling and Imaging Nadine Mueller Recruiting Manager 2021-09-24 Temporary ZHAW Zürcher Hochschule für Angewandte Wissenschaften Winterthur Region of Zurich 8401
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