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- Hundreds of open positions readily available online
- Direct contact and easy application procedure without any bureaucracy
- PhD positions, MSc, BSc, and internships at the ETH Zurich. 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! Selection of open positions at the **ETH Zurich** Selection of open positions at the **ETH Zurich** Micropillar splitting is a widely used method for assessing microscale fracture toughness due to its straightforward fabrication via FIB milling, laser ablation, or casting. However, these processes often introduce geometric and surface artifacts—particularly tapering and roughness—that can distort experimental results. Deviations from ideal pillar geometry and surface finish can misrepresent crack initiation and propagation, leading to inaccurate toughness values. This project uses finite element simulations with cohesive element modeling to investigate how tapering and surface roughness affect fracture behavior. By validating simulations with mechanical testing, the study aims to optimize sample preparation and develop correction factors, ultimately improving the accuracy, consistency, and reliability of micropillar splitting techniques. - Interdisciplinary Engineering, Materials Engineering, Mechanical and Industrial Engineering
- Master Thesis
| Aerial Additive Manufacturing (Aerial AM) represents an innovative approach combining robotic flight systems and advanced materials science to construct infrastructure in remote or hazardous environments dynamically. Such aerial robotic platforms, equipped with manipulators that extrude viscoelastic materials, necessitate accurate simulation environments capable of concurrently modeling complex fluid dynamics and precise aerial robot kinematics and dynamics. The project will specifically evaluate simulation methodologies—Smoothed Particle Hydrodynamics (SPH) and Material Point Method (MPM)—to build an integrated, physics-based Aerial AM simulation framework - Architecture, Urban Environment and Building, Engineering and Technology
- Master Thesis, Semester Project
| Simulation and Design of Grating Couplers - Electrical and Electronic Engineering, Optical Physics
- Bachelor Thesis, Master Thesis, Semester Project
| Development of a Test Setup for Controlled FBG Sensor Measurements. - Electrical and Electronic Engineering, Mechanical and Industrial Engineering
- Bachelor Thesis, Semester Project
| This project aims to address the efficiency and reliabiltiy of energy transition systems in BEVs by studying the efficiency and lifetime of key components in the traction system and the way that they are automatically controlled. - Electrical Engineering, Mechanical Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| In this Master’s thesis the hydroabrasion resistance of six different invert materials used at the Solis Sediment Bypass Tunnel (SBT) shall be systematically investigated. Based on field inspection data from 2012 to 2025, the study aims to assess abrasion depths, hydraulics and bedload transport rates , to validate a recently developed mechanistic abrasion model. - Water and Sanitary Engineering
- Master Thesis
| The integration of distributed renewable energy sources into electric power grids is essential for transitioning to low-carbon energy systems. However, the intermittent nature of distributed renewable energy poses challenges to grid stability. Demand-side flexibility has emerged as a key solution, allowing consumers to adjust their electricity usage to help balance supply and demand. Buildings, as major energy consumers, offer substantial demand-side flexibility potential by shifting or reducing their energy use without compromising occupant comfort. To harness this potential, predictive energy management systems have been developed to optimize energy usage and quantify flexibility, typically represented as flexibility envelopes. These envelopes are used by distribution system operators (DSOs) for effective grid coordination.
However, existing methods for flexibility quantification are largely optimization-based, requiring significant computational resources—especially problematic for real-time or rolling updates, which involve repeatedly solving complex models under varying conditions. This limits their scalability and responsiveness in practice.
This research aims to develop a machine learning-based approach to predict flexibility envelopes using historical data. The goal is to provide real-time flexibility estimates with significantly reduced computational cost, making this method more practical for integration into smart energy systems. - Engineering and Technology
- Master Thesis
| We will explore the design space of avatars in Virtual Reality to support learning and creativity. The project will leverage the concept of "embodied cognition", a set of theories that imply that our bodies and their interaction with the environment can impact how we learn. We will develop a Unity3D-based VR environment for embodied learning that can be deployed on everyday VR headsets. - Computer Graphics, Computer-Human Interaction
- Master Thesis, Semester Project
| Ionic electroactive polymer (IEP) actuators allow large bending angle and low voltage
deformation with the potential to revolutionize the development of various functional soft
robotic systems. For example, wearable systems, haptic devices, tactile sensors, and
underwater/on-ground locomotion soft robots have been developed [1]. Among them,
biocompatible material based IEP actuators have potencial especially for wearable device
owing to intrisic biocompatibility. In the previous project, we successfully developed
biocompatible mateiral based IEP actuators by direct ink writing systems [2]. What has been
lacking is improvement of material property for robustness. Previous work used ionic fluid,
activated carbon, and cellulose. But this time will use other biocompatible material such as PEDOT:PSS and PVDF. The next phase is to develop wearable sensors and actuators for
proof-of-concept with complex geometry.
The challenging points is material development which should be ideal for direct ink wrinting
(shear-thinning behavior). - Chemistry, Engineering and Technology
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| The wide range of restoration measures in channelized, morphologically degraded rivers includes dynamic river widening. This method is based on the reactivation of bank erosion, sediment redistribution, and channel shifting processes within certain spatial limitations. The goal is to restore the morphodynamic processes typical for river-floodplain systems and to increase the diversity of aquatic and terrestrial habitats. - Water and Sanitary Engineering
- Master Thesis, Semester Project
| Join our cutting-edge research team at Empa St. Gallen to prepare and study novel nanozymes. You will be part of the action in the lab work answering different scientific questions about biodegradation, catalytic activity, and light activation for cancer and antimicrobial applications. You will also be part of a truly multicultural and interdisciplinary environment that will enrich your knwowledge. - Biology, Chemistry
- Internship, Master Thesis, MD
| Glioblastoma (GBM) is a highly vascularized tumor, yet current in vitro 3D brain tumor spheroids lack vasculature, limiting their ability to study the influence of blood vessels on tumor progression and
treatment response. This project aims to establish a vascularized brain tumor organoid model by co-culturing
blood vessel organoids derived from stem cells with brain tumor spheroids. - Biochemistry and Cell Biology, Biotechnology, Neurosciences, Pharmacology and Pharmaceutical Sciences
- Internship, Lab Practice, Master Thesis, Semester Project
| Master thesis on novel devices and tools for both valve repair and replacement at Harvard Medical School - Engineering and Technology, Medical and Health Sciences
- Master Thesis
| We are developing robotic catheters for heart valve repair and for treatment of arrythmias. - Engineering and Technology, Medical and Health Sciences
- Master Thesis
| 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
| Three-dimensional medical imaging techniques such as Computed Tomography (CT) and MRI are indispensable in modern clinical workflows. CT utilizes X-rays acquired from multiple angles to reconstruct detailed volumetric patient anatomy data. Due to the harmful effects of ionizing radiation, especially in vulnerable populations such as infants, it is critical to minimize radiation exposure while maintaining diagnostic image quality.
Optimizing CT parameters requires systematic studies, yet direct experimentation on infants is ethically and medically unacceptable. This project aims to develop a novel infant head phantom that accurately replicates the radiological properties of an infant’s head. The phantom will serve as a testbed for CT imaging studies, enabling the optimization of scan parameters that balance minimal radiation exposure with high-quality image acquisition tailored for pediatric neuroimaging.
- Biomedical Engineering, Manufacturing Engineering, Materials Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| In this project, you will study different modulation schemes and motor control concepts, and implement them for a given PMSM (first in simulations and then in an FPGA/microcontroller). - Electrical Engineering
- Master Thesis, Semester Project
| Design of high-voltage gas discharge closing switches. - Electrical Engineering
- Master Thesis, Semester Project
| At HPE, power converters based on WBG semiconductor devices are developed. WBG devices operate at high switching frequencies, enabling a reduced filter volume. However, parasitic resulting from the PCB layout increase the stress on these devices. PCB layout is crucial for minimizing these effects. - Electrical Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| A circuit topology to generate high-power nanosecond pulses with drift step-recovery diodes (DSRD) acting as opening switches should be analyzed and implemented. - Electrical Engineering
- Master Thesis, Semester Project
| In this thesis the student is provided the opportunity to optimise and build a medium frequency transformer - Electrical Engineering
- Master Thesis, Semester Project
| A new pulse generator topology based on gate-boosted SiC JFETs should be investigated, implemented, tested, and assessed on its suitability for the generation of nanosecond pulsed. - Electrical Engineering
- Master Thesis, Semester Project
| A circuit to evaluate the suitability of off-the-shelf diodes as a replacement for drift step recovery diodes should be analyzed and implemented in hardware. - Electrical Engineering
- Master Thesis, Semester Project
| In this thesis, you will model the dynamic behaviour of the multilevel inverter to be used for an electric vehicle application. You will study the losses in semiconductor switches during transient operation and capacitor voltage dynamics of multilevel inverters. - Electrical Engineering
- Master Thesis, Semester Project
| Our project aims to enhance the ultrasound-assisted bioprinting process using real-time feedback and image processing. We have developed a transparent nozzle equipped with multiple cameras for real-time monitoring. The next steps involve integrating advanced image processing techniques, such as template matching, and implementing a feedback system to optimize the printing process. The system will be fully automated, featuring a function generator for wave creation and cooling elements. By analyzing the printing process and acoustic cell patterning with computer vision and leveraging real-time sensor feedback, we aim to dynamically optimize parameters such as frequency and amplitude for accurate and consistent pattern formation, crucial for bio applications. - Artificial Intelligence and Signal and Image Processing, Behavioural and Cognitive Sciences, Computation Theory and Mathematics, Computer Software, Engineering and Technology, Information Systems, Medical and Health Sciences
- Bachelor Thesis, Master Thesis
| Enable Birds-Eye-View perception on autonomous mobile robots for human-like navigation. - Computer Vision, Intelligent Robotics, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Photogrammetry and Remote Sensing
- ETH Zurich (ETHZ), Master Thesis
| 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
| Elevate semantic scene graphs to a new level and perform semantically-guided navigation and interaction with real robots at The AI Institute. - Computer Vision, Engineering and Technology, Intelligent Robotics, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition
- ETH Zurich (ETHZ), Master Thesis
| Several core losses models are commonly used in magnetic components for power electronic converters. Various experimental setups exist to measure core losses under different conditions. In this project you will start by reviewing the different experimental methods for loss measurement. Compensation methods will be implemented to improve measurement accuracy. Finally, an experimental setup will be designed and commissioned. - Electrical Engineering
- Master Thesis, Semester Project
| In this project, you will characterise GaN HEMTs using vector network analyser (VNA) and power device analyser (PDA). - Electrical Engineering
- Semester Project
| 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. A model that treats particles as cylinders has already been implemented to describe the material's magnetic permeability over frequency. In this thesis, you will consider different geometries such as spheres and ellipsoids, and you will adapt the existing model to evaluate the material's magnetic permeability. - Electrical Engineering
- Master Thesis, Semester Project
| In this project, you will do an extensive literature review on the modelling of batteries. Your results from this investigation can then be used to determine if high-frequency ripple in the battery current has a significant influence on the battery's lifetime. - Electrical Engineering
- Master Thesis
| In this project, you will first get familiar with the control structure of the OBC system. The converter and load behavior should be investigated and understood. Finally, the full control system should be designed according to the performance requirements of the OBC and implemented on an FPGA. - Electrical and Electronic Engineering
- Master Thesis
| At HPE, electric vehicles (EV) with a battery voltage >800V are investigated. GaN power semiconductors are used in multi-level converter topologies for this. Your task in this project is to evaluate different multi-level bridge leg topologies in terms of losses and implementation effort. - Electrical Engineering
- Master Thesis, Semester Project
| This project will consist of designing, implementing, and testing the control and protections of an electronic converter for characterising power losses in magnetic cores - Electrical Engineering
- Master Thesis, Semester Project
| This project aims to characterise the electromagnetic properties of magnetic materials used in power electronics. - Electrical Engineering
- Master Thesis, Semester Project
| Functional traits describe biophysically relevant properties of plants and form an important basis for understanding ecosystem dynamics and the Earth system. Planttraits.earth has recently produced global high-resolution maps of many plant traits (some of which have never before been mapped globally), by combining field data from plant scientists, crowd-sourced data from citizen scientists, and remote sensing imagery. The present project will develop methods to improve those maps and bring plant trait mapping to the next level. - Ecology and Evolution, Information, Computing and Communication Sciences, Photogrammetry and Remote Sensing
- Master Thesis, Semester Project
| Der Tagesspeicher Val d’Ambra ist auf Sedimentablagerung empfindlich. Schwebstoff lagert sich im See und am Einlaufrechen der Fassung ab und führt dort zu Verstopfungen. Jährlich muss die Anlage ausser Betrieb gesetzt werden, um eine mechanische Reinigung des Sees und der Wasserfassung auszuführen. Ziel dieser Arbeit ist es, eine Optimierung der Wasserfassung im Sinne einer Spülmöglichkeit und eines optimierten Unterhalts des Rechens zu entwickeln. - Water and Sanitary Engineering
- Master Thesis, Semester Project
| This project aims to analyse how power losses and ambient conditions affect the temperature distribution within the magnetic material - Electrical Engineering
- Master Thesis, Semester Project
| Are you interested in working with ‘omics data and learning bioinformatics and molecular biology techniques for environmental engineering applications? We have the MSc thesis project for you. - Environmental Sciences not elsewhere classified, Environmental Technologies, Microbial Ecology, Microbial Genetics, Sequencing and Genomics, Water and Sanitary Engineering
- ETH Zurich (ETHZ), Master Thesis
| Are you interested in uncovering how Alzheimer’s disease disrupts communication in the brain — and exploring new ways to study and possibly intervene in this process?
In this project, you will use cutting-edge microfluidic platforms to construct bioengineered neural networks that better mimic the structure and function of brain microcircuits. These networks, established from human iPSC-derived neurons, will be studied throughout their development using high-density microelectrode arrays (HD-MEAs), enabling detailed tracking of their electrical activity at high spatiotemporal resolution.
You will introduce Alzheimer’s disease-related pathology into the networks and investigate how it alters connectivity, signaling patterns, and neural responses to stimulation over time.
The project offers a unique opportunity to combine experimental work in cellular neuroscience with computational analysis of neural network function. Depending on your background and interests, your work can be directed more toward wet-lab techniques (e.g., cell culturing, immunostaining, confocal imaging, electrophysiology) or toward data analysis and modeling (e.g., signal processing, graph theory, information theory).
- Analysis of Algorithms and Complexity, Biomedical Engineering, Biophysics, Biosensor Technologies, Biotechnology, Electrical and Electronic Engineering, Medical Biotechnology, Nanotechnology, Neurosciences, Systems Biology and Networks
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
| This thesis investigates the use of generative diffusion models for estimating Digital Surface Models (DSMs) with at least relative surface height from a single RGB image. While DSMs are traditionally derived from stereo imagery, monocular estimation offers a lightweight alternative for applications where only single-view input is available. Building on recent advances in monocular depth estimation, such as DepthAnythingV2 and Marigold, this work explores whether diffusion-based approaches can effectively bridge the gap between relative depth predictions and real-world surface structure. - Information, Computing and Communication Sciences, Photogrammetry and Remote Sensing
- Bachelor Thesis, Master Thesis, Semester Project
| Predicting the failure mechanisms of low-density cellular solids, from random fiber networks to periodic
architected materials (or metamaterials), remains a challenge for computational mechanics. One fundamental
distinction between beam-based architected materials and classical homogeneous solids lies in
the nature of their failure. Unlike classical materials, beam-based architected materials fail through the
discrete breaking of individual beams. This results in complex patterns of crack initiation and propagation,
that are significantly different from those observed in classical materials.
As computational models for large-scale, manufacturable metamaterials often involve millions or even
billions of unknowns, we are developing an open-source C++ library for scalable finite element simulations.
Currently, this library leverages distributed computing on CPUs via Open MPI, utilizing ETH
Zurich’s Euler cluster. The goal of this project is to improve simulation performance for predicting failure
in large-scale beam networks. A key focus will be integrating Nvidia’s GPU accelerators to achieve
significantly enhanced computational efficiency beyond what distributed CPU computing alone can provide.
Throughout this project, the student will contribute to an open-source project, conduct in-depth
performance studies, and utilize the developed software to predict fracture behavior in novel materials
with different (multi-)material properties, including both linear elastic and plastic regimes. - Mechanical Engineering, Numerical Analysis
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| In this project you will learn how to model and design an inverter and how to design a Matlab tool using object-oriented programming. Therefore, you will first familiarize yourself with the given design procedure and with object-oriented programming. You will then implement the design procedure, including a GUI. Finally you will apply the tool to identify the optimal design of an switching cell for a test study. - Electrical Engineering
- Semester Project
| Low-level outlets (LLO) are key safety structures of reservoir dams. Recent research at VAW have investigated the influence of hydraulic and geometrical parameters on LLO flow behaviour, but further research is needed to validate the results at prototype scale. The aim of this work is to complement the measurements taken in the LLO of Spitallamm dam, Switzerland, quantitatively evaluating scale effects and contributing to the development of safer design guidelines for LLO. - Water and Sanitary Engineering
- Master Thesis, Semester Project
| Develop a thermal model of the switching cell in the x3d file format and evaluate its cooling system performance on the converter model. Automate the process of performing thermal simulations on converter level. - Electrical Engineering
- Master Thesis, Semester Project
| The project focuses on optimizing the compact Marx generator, which charges capacitors in parallel and discharges in series to produce high-voltage pulses. Through FEM simulations, the objective is to design capacitor arrangements that limit the electrical field, mitigating equipment failures, and extracting parasitic elements. - Electrical Engineering
- Master Thesis
| The project focuses on optimizing the compact Tesla transformer for PPGD using pulse compression. - Electrical Engineering
- Master Thesis, Semester Project
| In this thesis the student is provided the opportunity to optimize and build a medium frequency transformer - Electrical Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| Investigate and design of basic half-bridge switching cell arrangements. The designed switching cells will be evaluated in terms of efficiency, power density and parasitics. - Electrical Engineering
- Master Thesis, Semester Project
| In this thesis, you will investigate different methods to implement the modulation schemes for a Multilevel inverter for electric vehicle applications. You will be involved both in simulation and practical implementation of the modulation schemes on a DSP/FPGA controller. - Electrical Engineering
- Master Thesis, Semester Project
| This project focuses on developing autonomous robots for synchronized performances on water. Equipped with kinetic water fountains, RGB lighting, and ultrasonic mist generators, the robots are designed to execute planned choreographies. The system utilizes robotics control, wireless communication, and positioning technologies to coordinate movements, and payload activation, facilitating complex pattern generation and synchronization. The objective is to advance the application of distributed robotic systems in creating structured and cohesive visual displays on water. - Arts, Engineering and Technology, Information, Computing and Communication Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| In this thesis, you will contribute to the Autonomous River Cleanup (ARC) by helping develop SARA, a bridge-mounted, camera-based system for monitoring river waste. Your focus will be on modeling the system’s power dynamics to determine the ideal battery and solar panel size, and balancing runtime throughout the day with overall the system size and weight. If time allows, you will also validate your findings with tests on the real hardware. - Engineering and Technology
- Bachelor Thesis, Semester Project
| In this thesis, you will work on SARA, a bridge-mounted, smartphone-based system for detecting and monitoring river waste. The focus will be on selecting lightweight detection and classification models suitable for smartphones and exploring domain adaptation techniques to improve performance across different locations with minimal retraining. Your work will build on previous research at ARC and current literature to develop solutions that balance model robustness and computational efficiency. - Engineering and Technology
- Semester Project
| In this thesis, you will contribute to the Autonomous River Cleanup (ARC) by helping improve MARC, our robotic platform for autonomous waste sorting. Your work will focus on optimizing the robot arm configuration by simulating different base locations and degrees of freedom to achieve faster and more efficient pick-and-place movements in a confined space. You will build on our existing simulation environment to model and evaluate various setups. - Engineering and Technology
- Semester Project
| The Autonomous River Cleanup (ARC) is developing SARA, the next iteration of a bridge-mounted, camera-based system to detect and measure riverine waste. Smartphones offer a compact, affordable, and powerful core for year-round monitoring but are vulnerable to shutdowns from extreme heat in summer and cold in winter. This thesis focuses on assessing these thermal challenges and designing protective solutions to ensure reliable, continuous operation. - Engineering and Technology
- Bachelor Thesis, Semester Project
| The goal of the project is to develop wearable devices, for use in environmental electromagnetic energy recovery based on human body application. - Biomedical Engineering, Electrical and Electronic Engineering, Materials Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| Check-dam sequences are built in rivers to stabilize the river bed during flood events. They are often accompanied by heavy bank protection, which is very costly and leads to poor habitat conditions. Can the bank protection be omitted to a certain degree? This thesis will investigate bank erosion processes between check-dam sequences in a physical scale model. - Environmental Engineering Design, Water and Sanitary Engineering
- Master Thesis
| Many industrial assembly tasks require high accuracy when manipulating parts, e.g., when inserting an object somewhere, such as a box that we would like to put in a bin. Here, the tolerances that are required can vary wildly.
While industrial manipulators are generally accurate in a controlled setting, as soon as the environment is not as structured as we would like it to be, we need to leverage feedback policies to correct for inaccuraies in estimation, and unexpected/unmodeled effects.
The setting we are interested in in this work is robotic bin packing, i.e., enabling a robot to pick objects (initially boxes/parcels), and (the focus of this work) placing them in a box, where other previously placed object possibly obstruct the placement. - Robotics and Mechatronics
- Master Thesis
| In this project, you are going to work with a state-of-the-art deep learning approach and generative models for building an efficient system to directly reconstruct a 3D animatable avatar from a single image.
Feel free to contact me for more details.
- Information, Computing and Communication Sciences
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| 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 goal of the project is to synthesize and characterize a number of small molecules capable of acting as mechanophore addition to various polymers. These polymers would then be used as wearable strain or pressure sensors. - Chemical Engineering, Chemistry, Composite Materials
- Master Thesis
| The goal of the project is to develop a cheap and disposable sensor capable of determination of iodine levels in human urine for early diagnostic purposes. - Chemistry, Engineering and Technology, Medical and Health Sciences
- Master Thesis
| Cyclic siloxanes pose a critical risk to cleanroom manufacturing quality; their filtering is thus of utmost importance. - Materials Engineering, Mechanical Engineering
- ETH Zurich (ETHZ), Master Thesis
| Diaxxo, an innovative ETH Zürich spinoff, is transforming diagnostics with cutting-edge PCR technology that combines lab-grade accuracy with field-ready simplicity. Our mission is to enable faster, affordable, and accessible detection of viral and bacterial infections, driving impact in animal health, food safety, and human diagnostics.
We are seeking a motivated Hardware Engineer (electrical / mechatronics) to join our team in Zürich, starting May 2025 (or a mutually agreed date). This role involves contributing to the design and assembly of devices and cartridges and quality control. It’s an excellent opportunity to gain hands-on experience in a dynamic startup environment while supporting our mission to revolutionize diagnostics. No specific experience is required—just motivation, commitment, and adaptability. - Biomedical Engineering, Chemical Engineering, Chemistry, Electrical Engineering, Manufacturing Engineering, Mechanical Engineering, Medical and Health Sciences
- Collaboration, ETH Zurich (ETHZ), Internship, Post-Doc Position, Student Assistant / HiWi
| The variations of the Earth's gravity field on a monthly scale mainly indicate the global water dynamics and provide invaluable information for understanding the Earth system[1]. Monthly gravity variations can be measured by GRACE(-FO) satellite missions with higher accuracy, but the data availability of such satellite missions is limited. On the other hand, the monthly gravity field variations can also be detected by analyzing orbit perturbations of satellites in low-Earth orbit (LEO)[2], or using the satellite laser ranging (SLR)[3,4] techniques. SLR provides extended data records but typically with worse spatial resolution and accuracy. - Earth Sciences, Geodesy
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| This master project aims to estimate time series of atmospheric water vapor from low-cost GNSS observations and validate the results using observations from a water vapor radiometer. The datasets are collected at the astronomical observation site Paranal in the Chilean Atacama Desert, where they can be used to correct optical astronomical measurements. - Earth Sciences, Geodesy
- ETH Zurich (ETHZ), Semester Project
| The goal of the project is to develop metal oxide-based logic electronics, for use in rectification and/or memristor application. - Biomedical Engineering, Electrical and Electronic Engineering, Materials Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| The interaction between natural snowfalls and atmospheric wind conditions can lead to complex snow clustering dynamics mediated by turbulence. For example, the formations of columnar structures and kinematic waves such as those present in particle-laden flows. How do such complex systems composed of millions of snowflakes lead to structure in the presence of a large variety of atmospheric turbulence conditions? Which kind of structures form depending on the snow mass loading, the type of frozen hydrometeor, and the atmospheric turbulence intensity levels? Building on a previous project that performed planar imaging, this project will focus on performing volumetric field imaging. Measurements will be performed at a professional field site in Davos where a holography setup will collocate snowflake characterization. To process the imaging data the student will join forces at the DLR in Göttingen and track snowflakes using state-of-the-art ‘Shake-the-Box’ Lagrangian particle tracking methodology. - Aerospace Engineering, Earth Sciences, Environmental Engineering, Mathematical Sciences, Mechanical Engineering, Physics
- ETH Zurich (ETHZ), Master Thesis
| This project aims to develop a compact wireless device designed to monitor the electrical activity of cardiac tissues. The device will incorporate advanced PCB design, a low-noise amplifier, a transceiver, and efficient power management systems. - Integrated Circuits
- Master Thesis, Semester Project
| Tree species maps are crucial for effective forest management, biomass assessment, and biodiversity monitoring. Remote sensing products offer flexible and cost-effective ways to assess forest characteristics, while deep learning methods promise high predictive accuracy and transformative applications in forestry. This study aims to apply novel deep learning approaches to detect and identify individual trees and tree species in mixed forests. By addressing the challenges of tree species identification, this research will enhance biodiversity assessment, forest resilience understanding, and management strategies. - Artificial Intelligence and Signal and Image Processing, Forestry Sciences, Geomatic Engineering
- ETH Zurich (ETHZ), Master Thesis
| The project aims to create a controller for an interesting and challenging type of quadrotor, where the rotors are connected via flexible joints. - Control Engineering, Flight Control Systems, Intelligent Robotics, Systems Theory and Control
- Master Thesis, Semester Project
| Fracture surfaces in rock cores contain valuable structural information crucial for geological interpretation, engineering design, and are commonly mapped and analyzed by geologists. With advancements in camera technologies and computational techniques, it is now possible to digitize these surfaces in high resolution and apply automated methods for fracture analysis. - Computer Vision, Geology, Image Processing, Photogrammetry and Remote Sensing
- Bachelor Thesis, Master Thesis, Semester Project
| This project aims to use vision-based world models as a basis for model-based reinforcement learning, aiming to achieve a generalizable approach for drone navigation. - Computer Vision, Intelligent Robotics, Simulation and Modelling
- Master Thesis, Semester Project
| We aim to learn vision-based policies in the real world using state-of-the-art model-based reinforcement learning. - Computer Vision, Flight Control Systems, Intelligent Robotics
- 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
| Switzerland is committed to achieving net-zero greenhouse gas emissions by 2050. Innovative and sustainable freight solutions are essential as the transport sector accounts for a significant share of CO2 emissions. Currently, road transport dominates the modal split (62%), with rail transport contributing only 38%.
Traditional urban logistics rely heavily on road-based transport, contributing to congestion, emissions, and inefficiencies in last-mile delivery. While rail offers a sustainable alternative for long-distance freight, its integration into city logistics remains limited. Therefore, this thesis investigates how a fully electric railway supply chain centered around a rail-city portal (e.g., intermodal urban connectors between rail and last-mail logistics) can reduce emissions and improve the efficiency of urban freight distribution. A rail-city portal can be a transshipment node, bridging rail and e-mobility for last-mile logistics.
- Transport Economics, Transport Engineering, Transportation
- Master Thesis
| This Master’s thesis explores whether Any-Aged Forestry (AAF), could offer a more optimal management strategy compared to Regular Forest Management (RFM) and Close-to-Nature management in a Swiss forest context. Using Forest Studio, a forest modeling platform under development, the project will implement and test the AAF approach alongside conventional management systems in a case study area in Canton Zurich. The goal is to evaluate performance across ecological and economic indicators. - Forestry Sciences not elsewhere classified
- ETH Zurich (ETHZ), Master Thesis
| Can we keep flying while still meeting climate goals? This Master thesis dives into a bold idea: balancing fossil jet fuel emissions by locking away an equivalent amount of CO₂ underground. But how can we be sure it actually works — and that the public trusts it?With this work, you will explore the rules, standards, and safeguards needed to make this vision credible. You’ll help shape the future of climate accountability in aviation as part of a broader project on geologically-balanced fuels. The thesis will be supervised by researchers from ETH Zurich and the University of Oxford, with the possibility to conduct the research at either locations.
👉 Curious? Find out more in the full project description in the leaflet attached. - Accounting, Auditing and Accountability, Business and Management, Environmental Sciences, Justice and Legal Studies, Policy and Administration, Tourism, Transportation
- ETH Zurich (ETHZ), Master Thesis, Other specific labels
| Management units (MUs) are the core spatial entities where forest management strategies are applied. Their delineation is typically based on stand characteristics (e.g., tree species, age structure), ownership boundaries, or legacy units established decades ago. Before a new forest management plan is developed—typically every ten years—foresters revise these MU boundaries using aerial imagery and ground-based assessments. However, the implications of how these boundaries are defined are rarely questioned.
This Master’s thesis investigates how different approaches to MU definition, and how frequently they are revised, may alter the expected provisioning of ecosystem services (ES) such as timber and biodiversity. The study compares these impacts across two contrasting landscapes: one topographically complex and one relatively homogeneous.
- Forestry Sciences not elsewhere classified
- ETH Zurich (ETHZ), Master Thesis
| Forest dynamics models often define ecological processes such as growth, mortality, and regeneration at a fixed spatial scale, typically the tree or stand level. This thesis explores how different spatial definitions of these core processes affect long-term projections of forest development. Using an existing forest dynamics model with both tree-level and stand-level formulations, the study will compare simulation outcomes and assess computational performance for applications at larger landscape scales. - Forestry Sciences not elsewhere classified
- ETH Zurich (ETHZ), Master Thesis
| Most control methods operate under the assumption of a known model. However, in practice, knowing the exact dynamics model a priori is unrealistic. A common approach is to model the unknown dynamics using Gaussian Processes (GPs) which can characterize uncertainty and formulate a Model Predictive Control (MPC) type problem. However, it is difficult to exactly utilize this uncertainty characterization in predictive control.
In a recent approach [1], we proposed a sampling-based robust GP-MPC formulation for accurate uncertainty propagation by sampling continuous functions. In contrast, in the proposed project, you will implement an approximation method for sampling continuous functions using a finite number of basis functions [2] and solve the MPC problem jointly with the sampled dynamics. You will analyze the trade-offs between performance, approximation accuracy, and computational cost for this method. - Engineering and Technology
- Master Thesis, Semester Project
| Join a dynamic research team at the intersection of biomechanics, tissue engineering, and cell biology. This project offers hands-on training in state-of-the-art methods to investigate how tendon tissue responds to injury, disease processes, and mechanical stimulation during exercise-based therapy. - Biomedical Engineering
- Master Thesis
| Controlling fluid flow is essential in various natural and engineering systems, with geometry playing a fundamental role in shaping fluid behavior. However, the interaction between geometry and flow behavior remains a complex phenomenon, primarily governed by the flow regime and fluid material properties.
Certain geometries, whether naturally occurring or engineered, induce direction-dependent flow resistance, causing variations in velocity and flow rate in opposite directions. One well-known example of such engineered geometries is the Tesla valve—a passive device without moving parts, designed to create asymmetric flow resistance, particularly at high Reynolds numbers. This structure acts like a fluidic diode, offering greater resistance to flow in one direction by generating turbulent vortices and flow separations while allowing smoother movement in the opposite direction. This effect is quantified by diodicity, which represents the ratio of pressure drop in the reverse direction to that in the forward direction, providing a measure of the valve's asymmetric resistance. However, this direction dependence is limited at lower velocities.
We have designed two sets of geometries that effectively induce directional flow resistance within high and low fluid flow velocities. This Master’s thesis project aims to experimentally investigate the impact of different flow obstruction designs on direction-dependent resistance in rectangular channels and semicircular arc segments. The student will, together with their direct supervisor, design and construct an experimental setup for the reliable measurement of flow and diodicity. This project offers an excellent opportunity to gain expertise in fluid dynamics, experimental testing, numerical modeling, and additive manufacturing, with applications in biomedical systems.
Students with a background in mechanical engineering, fluid dynamics, or related fields are encouraged to apply. Prior experience with COMSOL Multiphysics is beneficial but not mandatory.
- Mechanical Engineering
- Master Thesis
| This project is about the development of integrated circuits to study neurons and neural networks, and may comprise different parts of the design including analog and/or digital microelectronics, PCB design, signal processing and programming. - Electrical and Electronic Engineering
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| The student will be involved in the development of software applications for in-vitro neural interfaces. The ultimate goal is controlling a complex embedded system, comprising a custom-made CMOS neural interface and two system on a chip. - Electrical Engineering, Engineering/Technology Instrumentation, Mathematical Software, Programming Languages, Programming Techniques, Software Engineering
- Bachelor Thesis, Internship, 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
| Switzerland’s ambition for net-zero emissions by 2050 calls for sustainable freight transport solutions. This thesis develops a Mixed-Integer Linear Programming (MILP) model to optimize intermodal rail freight networks, integrating user behavior with operational constraints. By fine-tuning pricing, frequency, and capacity across Swiss corridors, the study provides actionable insights for operators and policymakers, aligning system performance with diverse shipper preferences. - Operations Research, Road and Rail Transportation, Transport Economics, Transport Engineering
- Master Thesis
| Switzerland’s ambitious target of net-zero greenhouse gas emissions by 2050 underscores the urgency of decarbonizing key sectors, with transportation playing a pivotal role. This thesis investigates the potential of intermodal rail freight as a sustainable alternative to conventional road transport by leveraging Discrete Choice Models (DCMs) to capture the multifaceted influences on mode choice decisions. The research involves a comprehensive review of existing literature on freight transport in Switzerland, the construction of a discrete choice model—potentially using a multinomial logit framework—to quantify the effects of transport time, cost, reliability, and environmental attributes, and the execution of sensitivity analyses and scenario simulations. Ultimately, the study aims to inform policymakers and industry stakeholders on how operational adjustments may drive a modal shift towards greener transport solutions. - Operations Research, Transport Economics, Transport Engineering, Transportation
- Master Thesis
| We are looking for a research assistant who is skilled at data collection, cleaning, matching and programming. Please see details in the attachment. - Programming Languages
- Student Assistant / HiWi
| We are seeking two passionate PhD candidates to join our research team in a cutting-edge project focused on the theoretical investigation of altermagnetism - a recently discovered and rapidly growing field in condensed matter physics. Altermagnets are a novel class of magnetic materials that exhibit spin-compensated magnetism with non-relativistic spin-split bands, offering unprecedented potential for energy-efficient spin-based technologies such as spintronics, magnonics, and superconductivity. Chiral magnons in altermagnets, in particular, promise to revolutionize information processing by enabling dissipationless transport without relying on charge carriers. Join us in pushing the frontiers of this emerging field by developing novel computational tools and making impactful contributions to the next generation of low-power, high-efficiency technologies. - Theoretical and Condensed Matter Physics
- PhD Placement
| Inclusion bodies are dense protein aggregates formed in the cytoplasm of bacteria like E. coli. While often regarded as problematic, proteins that are sequestered in such inclusion bodies continue to be active and are simple to purify. By tagging proteins of interest with specific “inclusion body tags”, even proteins that would remain soluble can be sequestered into inclusion bodies upon expression.
This project aims to design and evaluate novel inclusion body tags with tailored properties for diverse applications. Of special interest are tags that are detectable in electrospray ionization mass spectrometry (ESI-MS). - Analytical Chemistry, Biochemistry and Cell Biology, Biotechnology, Microbiology, Structural Biology
- Master Thesis
| This research project aims to develop and evaluate a meta model-based reinforcement learning (RL) framework for addressing variable dynamics in flight control. - Artificial Intelligence and Signal and Image Processing, Engineering and Technology
- Master Thesis
| Object search is the problem of letting a robot find an object of interest. For this, the robot has to explore the environment it is placed into until the object is found. To explore an environment, current robotic methods use geometrical sensing, i.e. stereo cameras, LiDAR sensors or similar, such that they can create a 3D reconstruction of the environment which also has a clear distinction of 'known & occupied', 'known & unoccupied' and 'unknown' regions of space.
The problem of the classic geometric sensing approach is that it has no knowledge of e.g. doors, drawers, or other functional and dynamic elements. These however are easy to detect from images. We therefore want to extend prior object search methods such as https://naoki.io/portfolio/vlfm with an algorithm that can also search through drawers and cabinets. The project will require you to train your own detector network to detect possible locations of an object, and then implement a robot planning algorithm that explores all the detected locations. - Intelligent Robotics, Robotics and Mechatronics
- Master Thesis
| Develop high-performance perovskite solar cells and modules - Materials Engineering, Other, Solid State Chemistry
- Master Thesis
| Explore the use of large vision language models to control a drone. - Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
| This Master's position offers the opportunity to explore innovative ceramic joining techniques using Spark Plasma Sintering (SPS) and Self-Propagating High-Temperature Synthesis (SHS). The project focuses on enhancing alumina-alumina bonding by developing novel interlayers activated through combustion synthesis, with promising results using the TiSi system. The student will conduct a literature review, prepare and characterize ceramic samples and interlayers, optimize joining processes, and evaluate joint properties through advanced characterization methods. This position provides hands-on experience in cutting-edge materials science and offers the potential to co-author scientific publications.
Note: The candidate must have EU citizenship.
- Alloy Materials, Ceramics, Welding Technology
- Master Thesis
| One of the biggest hurdles to climate policy action is low public acceptance. Justice is a key driver of policy acceptance, but it remains unclear why and how people make judgments on this. We are developing a tool to measure justice perceptions using distributive justice principles, and are looking for a Master's student to do a project using a mix of qualitative interviews and quantitative analysis of multi-country survey data. - Political Science
- Master Thesis
| Join us in revolutionizing brain imaging technologies and make it accessible for everyday use. Functional near-infrared spectroscopy (fNIRS) is an emerging technology that enables cost-effective and precise brain measurements, helping to improve neurotherapies and brain health. - Electrical Engineering, Mechanical and Industrial Engineering, Neurology and Neuromuscular Diseases, Neurosciences, Signal Processing
- Internship
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