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Student position: Visualization Tools for Smart Grids (SCCER-FURIES research network)

The Institute of Computational Science (ICS), Universitá della Svizzera italiana, Switzerland is looking for a student to develop Smart Grids visualization tools for the project Comprehensive development of a fully-functional smart-grid demonstrator in the city of Arbon, carried out within the SCCER-FURIES research network.

The project

In this project, technologies and methods developed in the framework of SCCER-FURIES will be combined and applied on industrial smart-grid hardware, in order to implement an innovative and functional smart grid in a realistic environment (i.e. the entire city of Arbon). The smart grid functionalities will incorporate autonomous voltage regulation based on state estimation of the grid, dynamic load management for grid stabilization and provision of balancing power based on a multitude of resources, online grid state overview in Google Maps and others. In addition, the technological solutions will be supplemented by establishing appropriate business cases in order to safeguard not only the technological but also the economic application of our proposed solutions.

Your task

Based on measurements, the data from the grid needs to be conditioned (i.e. selected, structured, aggregated and appropriately visualized), in order to be prepared for further analysis. The selected variables will then be used as an input to sensitivity analysis, which should in turn evaluate impact of changes on the stability of the entire system. Your task will be to develop a data-geo combined tool, which will allow for the position-related visualization of arbitrary grid-related data. This tool will be helpful in the aggregation and selection of measured grid data. At a second stage, You will adapt Your visualization tool such that it will be able to show efficiently the aggregated data.

Your profile

You have a background in software development;
You are enrolled in a Bachelor’s or Master’s program in Computer Science or Informatics;
You have good verbal and written communication skills (English);

Interested candidates can send their applications with references and school transcripts to 

Prof. Dr. Rolf Krause
Institute of Computational Science,
Università della Svizzera italiana,
Switzerland
Tel: +41 (0)58 666 43 09
Email: 


 

PhD position: Stress-Based Methods for Variational Inequalities in Solid Mechanics: Finite Element Discretization and Solution by Hierarchical Optimization

The Institute of Computational Science (ICS), Universitá della Svizzera italiana, Switzerland is looking for a highly motivated PhD student to work on Stress-Based Methods for Variational Inequalities in Solid MechanicsThis SNSF-Lead Agency funded project is part of the highly competitive DFG-funded "Schwerpunktprogramm" SPP 1962, "Nichtglatte Systeme und Komplementaritätsprobleme mit verteilten Parametern: Simulation und mehrstufige Optimierung", coordinated by the Humboldt Universität Berlin.

The environment

The ICS is the largest institute in Switzerland devoted to Computational Science and operates in close collaboration with the CSCS (Centro Svizzero di Calcolo Scientifico) and the CCT (Cardiocentro Ticino). The project will be done in close cooperation with Prof. Gerhard Starke (Universität Duisburg-Essen, Faculty of Mathematics). Hence, the student will work in a multidisciplinary environment consisting of principal investigators, post-docs from mathematics, physics, computer science and engineering, clinicians as well as other fellow PhD students.

The project

The goal of this project is to exploit the huge potential of finite element approaches based on the approximation of stresses as the dual variable for variational inequalities in solid mechanics. This includes models of frictional contact as well as elasto-plastic deformations and emphasizes adaptive refinement strategies based on built-in a posteriori error estimators as well as efficient iterative solution methods for the arising non-smooth problems. Approximating stresses directly by suitable finite element spaces allows for algorithmic simplifications and improved accuracy, in particular, in association with plasticity and friction where stress components play a prominent role. The proposed work packages build upon past and current activities on first-order system least squares methods for the Signorini contact problem carried out jointly by the two participating research groups. Our approach, studied theoretically and by numerical computations in the friction-less case, shall first be extended to Coulomb friction. Moreover, the generalization to plastic material behavior and to non-local friction laws will be the subject of a substantial part of this project. Finally, it is also planned to tackle dynamic contact problems with such a stress-based approach utilizing the advantages with respect to the improved accuracy of momentum conservation and to consider the coupling with thermal effects. The availability of a built-in a posteriori error estimator to be used in an adaptive refinement strategy is one of the advantageous features concerning the discretization. On the solver side, the explicit use of stresses makes the non-smoothness of the problems more accessible and allows the development of efficient multilevel and domain decomposition methods. Stress reconstruction techniques from displacement-pressure approximations as well as localization procedures for nonconforming elements will also be investigated in the context of frictional contact of elasto-plastic deformations. The testing of the developed methods at the benchmark examples within the SPP are a further essential part of this proposed project. 

Your profile

You have a solid background in applied maths, finite elements, and/or numerical analysis;
You are interested in computational mechanics and high-performance computing;
You have a Master’s degree in Applied Mathematics, Engineering, or Computational Science;
You have good verbal and written communication skills (English);
Experience with C++ is an advantage.

Interested candidates can send their applications with references and school transcripts to 

Prof. Dr. Rolf Krause
Institute of Computational Science,
Università della Svizzera italiana,
Switzerland
Tel: +41 (0)58 666 43 09
Email:


 

PhD position: Image-driven Patient-specific Cardiac Simulation

The Center for Computational Medicine in Cardiology (CCMC), Institute of Computational Science, Università della Svizzera italiana, Switzerland is looking for a highly motivated PhD student to develop and validate an automated approach for personalized simulations in cardiology. A tight integration between numerical simulations and clinical image processing is foreseen. The position is supported for three years by the Swiss National Science Foundation (SNSF) within the project “HEARTFUSION: Imaging-driven Patient-specific Cardiac Simulation” (PIs: Prof. Dr. Rolf Krause and Prof. Dr. Guoyan Zheng ), and is available immediately.

The environment

The CCMC is part of the Institute of Computational Science (ICS) and the Cardiocentro Ticino. ICS is the largest institute in Switzerland devoted to Computational Science and operates in close collaboration with the CSCS (Centro Svizzero di Calcolo Scientifico). The project will be done in cooperation with the Institute for Surgical Technology & Biomechanics (ISTB), which belongs to the University of Bern and is one of the pioneers in computer assisted interventions. The ISTB was also part of the NCCR Co-Me, a Swiss Network of innovative scientists, engineering and leading clinicians. Hence, the student will work in a multidisciplinary environment consisting of principal investigators, post-docs from mathematics, physics, computer science and engineering, clinicians as well as other fellow PhD students.

The project

The overall goal of the project is to develop a novel framework for image-driven computational electrophysiology, establishing a direct connection between imaging data and computational simulation. The main idea is to use the mechanical deformation retrieved from medical imaging to adapt the computational domain of the electrophysiology model over time. The methodology will provide a valuable tool to perform simulations on patient-specific geometries, validate existing mechanical models, and possibly design new ones. The aim of the student will be to develop a simulation tool to fuse data obtained from imaging done at the ISTB with numerical simulation.

Requirements

Applicants should hold a Master (or equivalent degree) in Engineering, Mathematics or Physics and have a strong background in discretization methods (e.g. Finite Elements or Finite Difference) and computational mechanics. Programming skills in C++ and Matlab are also required. 

Interested candidates can send their applications with references and school transcripts to:

Prof. Dr. Rolf Krause
Institute of Computational Science,
Università della Svizzera italiana,
Switzerland
Tel: +41 (0)58 666 43 09
Email:


 

Postdoctoral position in the group of Prof. Pivkin

A postdoctoral position is available in the Faculty of Informatics at the University of Lugano (Switzerland).
The candidates must have demonstrated expertise in Molecular Dynamics (MD) or Dissipative Particle Dynamics (DPD), high performance computing (HPC) and have some background in biology.  The project will require an efficient use of high performance computing resources including Europe's largest supercomputers. The position is for one year with the strong possibility of renewal.
Inquiries should be directed to Prof. Pivkin ().Please email a cover letter and curriculum vitae including a list of publications and contact information of three references to

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