Paul Scherrer InstituteAcronym | PSI | Homepage | http://www.psi.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Current organization | Paul Scherrer Institute | Child organizations | | Memberships | |
Open OpportunitiesYour tasks
• Your work will focus on the preparation of MPLs and their ex-situ and in-situ characterization
• The ex-situ characterization will be based on optical microscopy and X-ray Tomographic Microscopy XTM, coupled with image processing for data analysis
• The in-situ characterization will be based on Polymer Electrolyte Fuel Cell PEFC testing in our fuel cell test bench, this will allow the characterization of the fuel cell performance as a function of the used MPL
• During your internship, you will interact extensively with your colleagues within the group and within the whole electrochemistry laboratory | To achieve net zero emission targets replacement of fossil fuels is inevitable. In grand scheme of things Hydrogen plays a grand role in taking a major part of new fuel economy [1]. Techno economic analysis of hydrogen energy systems presents a very bright outlook [2]. The energy transport cost will also play an important role for the ultimate energy pricing. Therefore, it becomes imperative to search for the optimal installation locations for the large/small scale hydrogen storage systems considering the environmental, geological and accidental risk factors. A Multi criteria decision making analysis coupled with GIS data would provide the most economical and safe installation sites [3]. | The aim of the project is to develop a deep learning model capable of performing 3D semantic segmentation of the different features of the middle ear, from synchrotron-based X-ray microtomography 3D volumes. Challenges include developing a high-performance algorithm for handling large data sizes (20 GB per volume). The project consists in a first phase about dataset generation followed by a second phase of development/selection of the most appropriate DL model and metrics. - Computer Vision, Image Processing, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Otorhinolaryngology
- Collaboration, Master Thesis, Semester Project
| Investigate how best to unite Koopmans and Perdew-Zunger self-interaction corrections for electronic structure calculations. - Theoretical and Computational Chemistry, Theoretical and Condensed Matter Physics
- Master Thesis, Semester Project
| Investigate how best to unite Koopmans and Hubbard corrections for electronic structure calculations. - Theoretical and Computational Chemistry, Theoretical and Condensed Matter Physics
- Master Thesis, Semester Project
| We are seeking two passionate PhD candidates to join our research team dedicated to advancing electrochemical energy storage technologies using computational high-throughput and first-principles-based calculations. With a focus on Na-ion batteries, the project aims to tackle the pressing need for cost-effective and sustainable energy storage solutions in light of escalating global energy demands and climate concerns. Na-ion batteries offer a promising alternative to Li-ion batteries, leveraging the abundance of Na resources to drive innovation towards a cleaner and more sustainable energy future. Join us in this research endeavor aimed at shaping the next generation of energy storage technology and contributing to the transition towards a carbon-neutral society. - Theoretical and Condensed Matter Physics
- PhD Placement
| You will optimize a model of a superconducting radio-frequency accelerator for single electrons, with the goal of achieving the best possible temporal and spatial coherence. To this aim, you will use a code that allows to track the electron through the accelerating cavity and calculate the beam parameters. Since this tracking is time-consuming, you will use surrogate modeling and optimization algorithms. You will work with a diverse team of scientists, engineers and technicians in the electron beam instrumentation group. - Engineering and Technology, Information, Computing and Communication Sciences, Physics
- Internship
| In the frame of the SLS 2.0 upgrade project we need to design and build a couple of new beam injection elements including the Thin and the Tick septum. These are pulsed electromagnetic devices designed to deflect the electrons for short periods of time in order to utilize efficient electron injection.
After their design we need to confirm (measure) their magnetic properties to make sure they provide the necessary magnetic fields. For this we need a motorized 3-axis mover system to position a magnetic sensor and measure the field in this particular point in space. Moving to a new point and repeating the measurement we can create the respective field profiles, as well called field maps along straight lines (1D), planes (2D) or volumes (3D). In order to do this one needs to control a 3-axis mover that carries the magnetic sensor (XYZ position of the sensor) in a controlled manner (in some cases a constant speed might be necessary) and then to record the measured field values. After such measurement is done, the data (the measured field in the particular area) should be reasonably visualized.
The required tasks:
• The XYZ mover should be programed to scan predefined areas point-by-point or in certain cases line-by-line (with defined speed) communicating to a Beckhof PLC controller using a programming language and corresponding SW libraries e.g. pyadsmotion-library with Python
• For each point a measured value should be acquired from an oscilloscope and processed/recorded
• Simple intermediate mathematical processing might be necessary like numerical integration, averaging, normalization etc.
• A result file should be recorded containing the measured value for each XYZ position and possibly some description of the particular measurement
• A suitable (simple) visualization tool should be developed in order to display the measured results
• The work should be concluded with a written system description and a basic user manual - Engineering and Technology
- Internship
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