Profit from a great search interface and directly apply to the position of your choice. SiROP - Excellence in Science! Profit from a great search interface and directly apply to the position of your choice. SiROP - Excellence in Science! The remarkable complexity of morphogenesis and tissue regeneration implies the existence of a transcellular communication network in which individual cells sense the environment and coordinate their biological activity in time and space. To understand the fascinating ability of tissue self-organization, comprehensive study of biophysical properties (cellular nanomechanics such as tension forces and bioelectromagnetics) in combination with the analysis of biochemical networks (signaling pathways and genetic circuits) is required.
In this framework we are investigating the unacknowledged key role of Desmoglein 3 (Dsg3) as a receptor involved in mechanosensing, capable of initiating a signaling response in the transcellular communication network, which results in stem cell fate conversion, plasticity and tissue repair.
Our goal is to apply innovative Fluidic Force Microscopy to measure altered biophysical parameters upon disruption of Dsg3 transadhesion such as cell stiffness, cell-cell adhesion, cell surface charges and electric potentials. Together with the University of Bern and University of Lübeck we are further investigating how these biophysical changes relate to transcriptomic, epigenomic and proteomic response circuits to ultimately infer biophysical and biochemical circuits involved in Dsg3 signaling.
- Biochemistry and Cell Biology, Biomedical Engineering, Medical and Health Sciences, Physics
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
| The proliferation of mobile and embedded devices has spurred the demand for efficient, high-quality
speech synthesis systems that operate entirely on-device. This project aims to develop a fast,
quantized speech synthesis pipeline optimized for mobile platforms (i.e. Samsung Galaxy, Google
Pixel Pro 8), focusing on reducing computational load and memory usage without compromising
audio quality. - Engineering and Technology, Information, Computing and Communication Sciences
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
| Improving volume control precision and robustness in automated pipetting remains a challenge, often limited by traditional indirect methods. This project explores direct volume control by leveraging internal air pressure measurements and the ideal gas law. Key obstacles include friction, pressure oscillations, varying liquid viscosities, evaporation, and liquid retention. Collaborating with Hamilton Robotics, the goal is to develop a robust control architecture for their precision pipette (MagPip) suitable for diverse liquids. The approach involves mathematical modeling based on sensor data, designing robust control strategies to handle nonlinearities and disturbances, and validating through simulation and real-world experiments. - Control Engineering, Systems Theory and Control, Systems Theory and Control
- Semester Project
| In this project, you will explore how cells generate mechanical forces using confocal traction force microscopy (cTFM). The project combines experimental techniques, such as cell culturing, quantum dot array printing, and live-cell confocal imaging, together with computational data analysis using the open-source tool Cellogram. By growing cells on deformable substrates and tracking the displacement of fluorescent quantum dots, students will quantify the traction forces that individual cells exert on their environment. - Biology, Engineering and Technology, Information, Computing and Communication Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| Next-generation ultrasound (US) imaging demands exceptionally high data throughput, exceeding 90 Gbps for ultrafast applications. This project harnesses datacenter networking techniques—100G Ethernet, RDMA, and HPC-grade storage—to enable real-time streaming of raw US data at minimal latency. By integrating advanced optical interfaces and bypassing conventional CPU-intensive workflows, this project aims to achieve sustained multi-gigabit performance, paving the way for cutting-edge imaging analytics and machine learning within modern datacenter environments - Computer Communications Networks, Electrical Engineering
- Biomedical (PBL), Firmware (PBL), FPGA (PBL), Master Thesis, Semester Project, Software (PBL)
| In this project, we aim to develop a novel PCB integrating a powerful PULP chip, i.e., the GAP9, and event-based sensor, the Prophesee Genx320, and a RGB camera, the Himax HB0360 to enable multi modal AI-driven perception aboard nano-drones - Integrated Circuits
- Bachelor Thesis, Master Thesis, Semester Project
| Are you interested in what a cell look like in nanometer scale? Do you want to see how the cell behaves in real time?
Scanning ion conductance microscopy (SICM) is the non-contact SPM technology to image live cells based on glass capillaries with a nanometric aperture. It applies a voltage and measures the ionic current flowing through the pipette above the sample in the buffer solution: the recorded current represents the feedback signal to measure the topography of the sample. This project aims to characterize a state of the art high-speed SICM to enable time-resolved live cell imaging, and do the live cell imaging on human primary keratinocytes to study the related disease. - Biomedical Engineering, Electrical and Electronic Engineering, Information, Computing and Communication Sciences, Manufacturing Engineering, Mechanical Engineering, Nanotechnology
- Master Thesis
| The objective of this project is to synthesize monodisperse solutions of elongated silica nanoparticles following established recipes. The nanoparticles will be analyzed with electron microscopy and their mode structure will be studied in optical traps operated in high vacuum. - Chemical Engineering, Electrical and Electronic Engineering, Materials Engineering, Optical Physics, Physical Chemistry
- Master Thesis, Semester Project
| Online Feedback optimization (OFO) is a beautiful control method to drive a dynamical system to an
optimal steady-state. By directly interconnecting optimization algorithms with real-time system measurements, OFO guarantees robustness and efficient operation, yet without requiring exact knowledge
of the system model. The goal of this project is to develop faster OFO schemes for congestion control
on freeways, in particular by leveraging the monotonicity properties of traffic networks. - Engineering and Technology
- Master Thesis
| Safety is a fundamental requirement for critical systems such as power converter protection, robotics, and autonomous vehicles. Ensuring long-term safety in these systems requires both characterizing safe behaviour and designing feedback controllers that enforce safety constraints. Control Barrier Functions (CBFs) have recently emerged as a powerful tool for addressing these challenges by defining safe regions in the state space and formulating control strategies that maintain safety. When the dynamical system is precisely modeled, a CBF can be designed by solving a convex optimization problem, where the state-space model is incorporated into the constraints.
However, designing valid CBFs remains difficult when system models are uncertain or time-varying. More importantly, CBFs and control laws derived from inaccurate models may lead to unsafe behaviour in real-world systems. To overcome these difficulties, this project aims to develop a data-driven approach for constructing CBFs without relying on explicit system models. Instead, we will leverage behavioural systems theory to replace model information in the design program by persistently exciting data. The proposed method will be applied to output current protection in power converters or robotics collision avoidance. - Engineering and Technology
- Master Thesis, Semester Project
| Having demonstrated conclusive results in both light guiding and modulations, BaTiO3 (BTO) presents great potential in demonstrating a monolithic integration of PICs. This platform could indeed present scalable circuits that include both the passive and active devices for high speed modulation. However The transmission's efficiency is currently limited by the fibers to chip losses. Edge couplers (EC) appear as a suitable approach to address this issue while guaranteeing a simplified layer stack. - Optical and Photonic Systems
- Semester Project
| Our research group aims to enhance the understanding of human language acquisition and development using songbird as model.
We are particularly interested in the evolutionary aspects of language, where two developmental tendencies are observed: convergent and divergent evolution. Convergent evolution refers to the simplification of language complexity, similar to how infants gradually acquire human language. Conversely, divergent evolution involves an increase in complexity, akin to teenagers creating and using novel words to establish unique identities. We propose to investigate whether similar effects are observable in animal vocalization learning, specifically in song learning of zebra finches and to explore the effect of social interaction.
To facilitate this investigation, our team has developed a "birdpark," a multimodal recording system that provides a naturalistic social environment for observing and recording multiple zebra finches within a dynamic group context.
- Learning, Memory, Cognition and Language, Linguistic Processes (incl. Speech Production and Comprehension), Sensory Systems, Signal Processing, Zoology
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Modern power systems exhibit significant complexity, making their analysis and control particularly challenging, especially when precise system models are unavailable. Traditional model-based control strategies often fail to scale with increasing system complexity, while recent advances in nonlinear, learning based control offer promising alternatives. However, many of these methods lack formal stability guarantees, which are crucial for safety-critical applications such as power system frequency control. This project aims to bridge this gap by developing a deep learning framework for analyzing the dissipativity properties of power systems and designing stabilizing controllers with formal guarantees. - Engineering and Technology
- Master Thesis, Semester Project
| A new kind of gas-filled microbubble enables the detection of protease activity by using ultrasound imaging techniques. The main goal of this work is to develop a setup that can reliably be used to measure the stiffness of microbubbles, first in a microbubble solution, and then in a model built to simulate the vasculature of a mouse. - Electrical and Electronic Engineering
- Master Thesis, Semester Project
| Optoacoustic (OA) imaging is a hybrid imaging method that enables deep tissue imaging with a high spatial resolution by combining optical illumination with ultrasound detection. The goal of this student project is to devise a parallel HW accelerator and explore different HLS code optimizations to achieve the best performance for OA image reconstruction on an FPGA in real-time.
- Biomedical Engineering, Electrical and Electronic Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| The main goal of this work is to develop a modular system for the characterization and tuning of ultrasonic transducers both in hard- and software
Due to the intended modularity of the system in soft- and hardware, we can guarantee a high flexibility of the setup. This means that the system can be adapted in operation for a wide variety of transducer types and setups. - Electrical Engineering
- Bachelor Thesis, Semester Project
| This project aims to create a FPGA-based interface capable of streaming live data from a ETH-developed CMOS biosensor and monitor neuroactivity and cell cultures in real time - Biomechanical Engineering, Electrical Engineering
- Master Thesis, Semester Project
| Model predictive control (MPC) is a widely used control technique that optimizes control inputs while fulfilling process constraints. Although automated tuning methods have been developed for task-specific MPC, they struggle when tasks change over time, requiring costly re-tuning. This project aims to reduce the computational burden of re-tuning by leveraging meta-learning, enabling efficient adaptation of controllers to different environments with minimal data. - Electrical Engineering
- Semester Project
| The solid-state nanopore has become a powerful tool for label-free single-molecule detection, characterising DNA and RNA structures, with recent work demonstrating the ability to detect protein structure information. Studying single-cells requires us to push this protein characterisation further, with the interfacial nanopore one approach to achieving this.
In this project, you would simulate and compare with empirical data the properties of the solid-state interfacial nanopore for single-molecule detection and characterisation. - Biophysics
- Bachelor Thesis, Master Thesis, Semester Project
| develop a neural network for depth estimation on nano-drones, using miniaturized event-based cameras, for autonomous navigation - Aircraft Performance, Electrical and Electronic Engineering
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
| Digital HW design: accelerator for Event-Based Convolutional Neural Network
- Integrated Circuits
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
| Maze escape with tiny AI-based autonomous bugs - Integrated Circuits
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis
| Develop a visual-based neural network for autonomous nano-drone racing - Integrated Circuits
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
| Sodium-ion batteries (SIBs) present a promising alternative to lithium-ion batteries, attracting significant interest due to their low cost and the abundance of sodium resources. Among the key cathode materials for SIBs are sodium transition metal oxides containing Ni, Mn, and Fe. Depending on their metal composition and defect concentration, these oxides exhibit different crystallographic phases, leading to variations in their material and electrochemical properties.
This master thesis is part of a broader project aimed at investigating the material and electrochemical properties of a wide range of sodium-based cathode materials. Building on our recent research on lithium-ion battery cathode materials, the primary objective of this thesis is to synthesize and characterize selected cathode materials within the Na-Fe-Mn-Ni oxide system and identify property trends.
Through this project, the student will gain hands-on experience in cathode material synthesis and characterization techniques, including X-ray diffraction (XRD) and scanning electron microscopy (SEM), as well as in cell assembly and battery testing. Students with a background in materials science or chemistry are encouraged to apply.
- Chemistry, Engineering and Technology
- Master Thesis
| The main goal of this project is to measure and characterize vibrations of the suspended system with pm/Hz−1/2 sensitivity using an optical interferometer. - Electrical and Electronic Engineering, Optical Physics
- Master Thesis
| This project aims to construct a compact Michelson interferometer with phase stabilization. - Electrical and Electronic Engineering, Optical Physics
- Master Thesis
| The aim of this project is to design and implement an electronic system to measure the 50 Hz signal from the main power line and generate an output signal at a user-defined frequency, while
maintaining synchronization with the original 50 Hz signal. - Electrical and Electronic Engineering, Optical Physics
- Bachelor Thesis, Semester Project
| We are offering multiple projects in the cleanroom with focus on gratings for x-ray application, this includes lithography and etching.
If you would like to do a project in a cleanroom do not hesitate to contact us under: bryan.benz@psi.ch - Biomedical Engineering, Interdisciplinary Engineering, Medical Physics
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| The goal of this semester project is to build a prototype of a beam tracking system. - Electrical and Electronic Engineering, Optical Physics
- Semester Project
| Human Pose Estimation (HPE) is a task that focuses on identifying the position of a human body in a specific scene. Most of the HPE methods are based on recording an RGB image with the optical sensor to detect body parts and the overall pose. This can be used in conjunction with other sensing technologies, such as accelerometers and gyroscopes, for fitness and rehabilitation, augmented reality applications, and surveillance. - Digital Systems, Electrical and Electronic Engineering, Interdisciplinary Engineering
- Master Thesis, Semester Project
| This project aims to classify objects of various shapes using tactile data from a 32x32 sensor array. The dataset includes shapes with varying sides, sizes, locations, trace speeds, and widths. A spiking neural network (SNN) implemented on the neuromorphic Dynapse chip will process the tactile data to spatially reproduce object shapes on-chip, enabling classification and clustering of tactile patterns. The system is designed to recognize shapes independent of factors like size and trace speed, leveraging the event-driven architecture of the Dynapse chip, which mimics biological neurons and synapses for efficient real-time processing of spatiotemporal data. - Engineering and Technology, Medical and Health Sciences
- Bachelor Thesis, Course Project, Master Thesis, Semester Project
| SA/MA project to commission and control a 12 kW bidirectional boost converter - Electrical Engineering
- Master Thesis, Semester Project
| The blood-brain barrier (BBB) restricts drug delivery to the brain, complicating the treatment of Alzheimer's disease. Temporary and safe opening of the BBB is a critical step for improving therapeutic delivery. This project focuses on developing hardware for BBB opening under optoacoustic imaging guidance, along with algorithms for monitoring using optoacoustic and magnetic resonance imaging. Key tasks include designing a focused ultrasound transducer, developing a precise positioning system for mouse brain navigation, characterizing the setup through phantom experiments, optimizing imaging reconstruction algorithms, and participating in preclinical studies with healthy and diseased mice. - Biomedical Engineering, Interdisciplinary Engineering, Medical Physics, Neurosciences
- Master Thesis
| This project aims to advance super-resolution imaging techniques, specifically localization optoacoustic tomography (LOT), for optimal imaging of the mouse brain. LOT allows for angiographic imaging beyond the acoustic diffraction limit, enabling blood velocity measurements and oxygen saturation quantification, which enhances understanding of microvascular dynamics and disease. Key tasks include designing hardware for scanning the mouse brain, developing biocompatible particles for in vivo tracking of blood vessels, creating algorithms for accurate blood flow velocity measurement, and implementing AI-based methods for efficient super-resolution imaging. The project also involves participation in experiments with healthy and disease mice. - Artificial Intelligence and Signal and Image Processing, Biomaterials, Interdisciplinary Engineering
- Master Thesis
| The aim of the project is to investigate the benefits, requirements and drawbacks of physics informed neural networks in the context of personalised cardiac and cardiovascular models - Biomechanical Engineering, Clinical Engineering, Computation Theory and Mathematics, Fluidization and Fluid Mechanics, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Simulation and Modelling
- Master Thesis
| The project focuses exploiting generative AI to build synthetic numerical phantom for cardiac anatomy and function suitable for representing population variability. - Biomechanical Engineering, Information, Computing and Communication Sciences
- Master Thesis
| In this project, you will work on the design and development of a micro-/nanomanipulator that is integrated into a cutting-edge single-molecule sensor. This system will enable precise positioning of the sensor chip and dynamic size control of the nanopore, critical for detecting protein modifications of varying sizes. This project offers an excellent opportunity for students interested in nanotechnology, hardware development, and biomolecular analysis to gain interdisciplinary experience and make meaningful contributions to advancing nanopore sensing technology. - Biomedical Engineering, Biosensor Technologies, Computer Hardware, Nanotechnology
- Bachelor Thesis, Master Thesis, Semester Project
| In this project, you will focus on the design and development of a custom hardware controller for piezoelectric actuators, enabling precise control of a micro-/nanomanipulator integrated into a cutting-edge nanopore sensor. The controller will provide high-resolution actuation voltages (up to 120 V) with closed-loop feedback for precise piezo actuation, critical for dynamic size control of interface nanopores. This project offers an exciting opportunity to combine hardware design, control systems, and nanotechnology in a real-world application. - Engineering and Technology
- Bachelor Thesis, Master Thesis, Semester Project
| The quantification of optoacoustic (OA) signals is hindered by the non-uniform distribution of optical fluence within biological tissues. Such variability compromises the accuracy of OA-based measurements and limits their clinical translational potential. Estimating light fluence distribution, however, is not straightforward due to complex tissue heterogeneities. To address this challenge, we have developed a hybrid imaging platform capable of concurrently acquiring MRI and OA data. By leveraging the anatomical information from MRI, we can accurately localize and characterize tissues, thereby overcoming positioning uncertainties and enabling robust fluence estimation. We are currently seeking a motivated student to implement these MRI-based fluence correction strategies to restore OA images of the mouse brain. - Biomedical Engineering, Medical Physics, Neurosciences
- Master Thesis, Semester Project
| Developing a state-machine Simulink model to be deployed at MathWorks SpeedGoat real-time target machine for closed-loop brain-machine interface (BMI). The state-machine will control the closed-loop BMI peripherals and synchronise the data flow. Peripherals include neural recorders & stimulators, data analysis cluster, video cameras and experimental chamber. Experimental chamber (variety of servos, steppers, sensors etc.) will be controlled with built-in FPGA and GPIO of SpeedGoat machine. Other peripherals are connected with serial bus. Acquired data needs to be organized and stored in datasink unit.
Skills:
Matlab Simulink, state-machines, FPGA programming, serial communication protocols, data synchronisation
Please send your CV and transcript along with your application. - Arithmetic and Logic Structures, Computer Communications Networks, Digital Systems, Electrical Engineering, Input, Output and Data Devices, Logic Design
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| Programming a graphical user interface (e.g. in Qt/C++) which can handle and process the data acquired in our brain-machine interface (BMI) experiments. The data includes high-density brain activity recordings from hundreds of recording channels, neural-stimulation events, 3D&4D data coming from MRI scans of the subject implanted with BMI. The backend will be programmed in Python where you also need to connect supporting tools (e.g. Blender) via Python.
Please send an email with your CV and transcript of records attached. - Electrical and Electronic Engineering, Software Engineering
- Bachelor Thesis, ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project
| Advancements in sensor technology, low-power mixed-signal/RF circuits, and Wireless Sensor Networks (WSNs) have enabled the creation of compact, cost-effective solutions for healthcare applications. A notable development in this field is the Body Sensor Network, which is designed to monitor the human body for healthcare purposes.
- Biomedical Engineering, Electrical and Electronic Engineering
- Bachelor Thesis, Internship, Semester Project
| Wearable, wirelessly connected sensors have become a common part of daily life, evolving step by step from their roots in sports and fitness to play a pivotal role in shaping the future of personalized healthcare. A key challenge in this evolution is designing devices that are unobtrusive, highly integrated, and energy efficient. These design requirements inherently demand smaller batteries, which must also support the significant power consumption of wireless communication interfaces. Capacitive Human Body Communication (HBC) offers a promising, power-efficient alternative to traditional RF-based communication, enabling point-to-multipoint data and energy exchange.
By using the conductive properties of the human body, a privacy-preserving wireless personal body area network (WBAN) can be created. Several low-power sensors such as ECG-tracker and insulin pumps can act as leaf devices, sending personal data to a body-central gateway, such as a smartwatch that further processes the data and establishes a connection to the cloud.
. - Biomedical Engineering, Electrical Engineering
- Biomedical (PBL), Energy Harvesting (PBL), Firmware (PBL), Machine Learning (PBL), Master Thesis, Microcontroller (PBL), PCB Design (PBL), Semester Project, Software (PBL), Wearables (PBL)
| In this project, you will have the opportunity to contribute to the development and optimization of a single-molecule sensor designed for the detection, identification, and analysis of important biomolecules such as DNA and proteins. The sensor technology is built upon the principles of microfluidics, nanofabrication, and machine-learning data analysis. It is an excellent fit for students who possess skills and a strong interest in these fields and are eager to engage in an interdisciplinary project with significant potential impact. - Biology, Chemistry, Engineering and Technology, Medical and Health Sciences, Physics
- Master Thesis
| The objective of this project is the design and analysis of recommender systems as optimization algorithms representing a robust feedback controller. We aim to design recommender system algorithms that identify influential users using observable data from users (for example: clicks/ time spent on a page/ likes etc.) in a social network and provide recommendations accordingly. - Engineering and Technology, Mathematical Sciences
- Master Thesis, Semester Project
| This moonshot project focuses on researching and exploring the potential of flexible and printable electronics, fabrication technologies, and applications in wearables based on the Voltera NOVA printer. Tasks will include ECAD and MCAD design, manufacturing, and prototype testing. - Electrical and Electronic Engineering, Printing Technology
- Bachelor Thesis, Biomedical (PBL), Energy Harvesting (PBL), Master Thesis, PCB Design (PBL), Semester Project, Wearables (PBL)
| This project focuses on designing testbeds for self-sustainable IoT sensors, specifically targeting solar and thermal energy harvesting. Tasks will include ECAD and MCAD design, firmware development, and prototype testing. - Electrical and Electronic Engineering, Mechanical Engineering
- Bachelor Thesis, Energy Harvesting (PBL), Firmware (PBL), Master Thesis, Microcontroller (PBL), PCB Design (PBL), Semester Project, Software (PBL)
| Magnetic components constitute one essential part of power converters. Understanding the electromagnetic phenomena that occur in these components is essential for the design of power converters. In this perspective, the project is focused on the modelling of induced eddy currents in small particles constituting powder cores. - Electrical Engineering
- Master Thesis, Semester Project
| In this project, you will implement analytical switching loss models from literature in Matlab, simulate switching losses in LTspice, and compare them to the measurement results with an existing PCB. - Electrical Engineering
- Semester Project
| MA project to commission and test a 10 kW converter prototype for wireless power transmission - Electrical Engineering
- Master Thesis, Semester Project
| SA/MA project to design a Near-field RF Antenna for a Real-time Communication Channel for Control of Power Electronic Systems - Electrical Engineering
- Master Thesis, Semester Project
| In this project, you will design a setup for dynamic on-state resistance measurements, covering circuit design, PCB layout, and FPGA code implementation. - Electrical Engineering
- Master Thesis, Semester Project
| xx - Electrical Engineering
- Master Thesis, Semester Project
| Moderne Brennstoffzellenfahrzeuge benötigen eine Druckluftversorgung, welche vorteilhaft mit Hilfe eines Turbokompressors realisiert wird. Der zugehörige Umrichter muss neben den funktionalen Spezifikationen eine geringe Baugrösse aufweisen und herausfordernden Kostenzielen gerecht werden. Um Marktanwendungen mit immer höher Ausgangsleistung der Brennstoffzelle zu unterstützen, muss auch die Umrichter-Ausgangsleistung kontinuierlich erhöht werden. Dazu sollen in dieser Arbeit verschiedene Möglichkeiten zur Erhöhung der Ausgangsleistung der vorhandenen Technologieplattform untersucht werden. Mögliche Ansätze liegen in der Parallelschaltung von mehreren Leistungshalbleitern, einer Optimierung der thermischen Anbindung der Halbleiter an die Wasserkühlung, sowie der Einsatz alternativer Modulationsverfahren, welche die Ausnutzung der Halbleiter- und Filterkomponenten verbessern. Zu Beginn dieser Masterarbeit soll daher basierend auf vorhandenen Rechenmodellen das Potential der verschiedenen Optimierungsansätze analytisch beurteilt werden. Basierend auf den theoretischen Resultaten sollen zielführende Massnahmen ausgewählt und anschliessend für die messtechnischen Überprüfung in einem Hardware-Prototyp implementiert werden. Im letzten Teil der Arbeit soll die erreichbare Leistungserhöhung durch Messungen am Prototyp verifiziert werden. Die Arbeit wird bei der ETH Spin-Off Firma CELEROTON TurboCell in Volketswil durchgeführt. - Electrical Engineering
- Master Thesis
| Capacitance Modelling - Electrical Engineering
- Master Thesis, Semester Project
| : In this master thesis, the student will investigate the strategy for the switching of long primary motor segments, the transient effects caused by it, possible mitigation measures (i.e. filters) and propose a hardware setup for the final configuration. - Electrical Engineering
- Master Thesis
| In this master thesis, the student will investigate different linear motor types and topologies for the future 3km AlphaTube vacuum transport demonstrator, such as the permanent magnet synchronous motor and the synchronous reluctance motor. - Electrical Engineering
- Master Thesis
| Efficient Winding Arrangements - Electrical Engineering
- Master Thesis, Semester Project
| AI magnetics design - Electrical Engineering
- Master Thesis, Semester Project
| The student will consider the expected power profile of a hyperloop vehicle, and the models relative to the propulsion and levitation systems will be extracted and compared with the corresponding one of high speed railway. After having established the expected performance, the thesis will focus on which power system architecture is most suitable of future Hyperloop systems. - Electrical Engineering
- Master Thesis
| In this project, you will first analyse an implemented quadratic program (QP) solver using Intel high-level-synthesis (HLS) tool and develop an optimization routine to compare the performance considering hardware resource constraints. - Electrical Engineering
- Master Thesis
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