**SiROP is an exclusive network of leading universities in science and technology**
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- Hundreds of open positions readily available online
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- PhD positions, MSc, BSc, and internships at the ETH Zurich. **SiROP is an exclusive network of leading universities in science and technology**
Why join SiROP?
- 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** 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. - 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
| This Master's thesis/semester project focuses on the microfluidic fabrication of microcapsules with multi-environmental responsiveness. The aim is to develop microcapsule-based microrobots capable of adapting to various environmental cues. We envision that these microrobots will be used for complex tasks in biomedical applications. - Chemistry, Engineering and Technology, Medical and Health Sciences
- ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project, Student Assistant / HiWi
| 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)
| We are building the next generation of HALVE (Hydraulically Amplified Low-Voltage Electrostatic) actuators which are flexible, pouch-based electrostatic actuators that operate at voltages 5–10× lower than traditional soft electrostatic systems. You will help us explore novel actuator geometries, ultra-thin functional layers, and new fabrication techniques to unlock scalable, energy-efficient soft robotic systems. - Materials Engineering, Robotics and Mechatronics
- Bachelor Thesis, Master Thesis, Semester Project
| 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
| The chemical industry is a significant contributor to global greenhouse gas (GHG) emissions, accounting for approx. 7% of the total. Although the energy demands of the chemical industry can be decarbonized by electrification, the industry requires carbon-containing compounds as feedstocks for the production of many chemicals. Besides electrification of production processes, the defossilization of the chemical industry could be driven by the use of bio-based chemicals, CO2 captured from other processes, recycling, etc.
Thus, the chemical industry plays an important role as it will be a major driver of increased electricity demand and a potential user of future carbon supply chains. Current literature often treats the chemical and energy sectors in a decoupled manner, despite the clear coupling between the sectors. Recent research, such as Mayer et al. [1], demonstrates the potential of sector coupling of the German energy system with a few chemicals in an optimized transition pathway at a national level. This work aims to fill the research gap by extending this analysis to a global scale. As chemical industries can relocate or emerge in regions with cheaper and more flexible electricity production, it is important to consider the transition on a global scale.
Prerequisites:
Applicants should have a basic understanding of energy technologies, energy systems analysis, and techno-economic assessment. Familiarity with programming in Python and knowledge of linear optimization techniques are considered beneficial. However, motivated students with strong analytical skills and a willingness to learn are also encouraged to apply. - Engineering and Technology
- ETH Zurich (ETHZ), Master Thesis
| Engineered muscle tissues have applications in regenerative medicine, drug testing, and understanding motion. A key challenge is restoring neuromuscular communication, especially in treating volumetric muscle loss (VML). This project aims to create functional neuromuscular constructs with biomimetic innervation. Scaffolds will be made using electrospun fibers, conductive materials, and drug-loaded graphene. Muscle and nerve cells derived from iPSCs will be seeded into these scaffolds. Constructs will be tested for motion, drug response, and integration in bio-hybrid robotic systems. The platform will advance muscle-nerve regeneration, drug testing, and bio-hybrid robotics. - Biology, Engineering and Technology, Medical and Health Sciences
- Master Thesis, Semester Project
| This project aims to leverage machine learning to accelerate the design of polymer-based drug delivery systems with tailored release kinetics. Using a curated dataset of polymer formulations and their drug release profiles, predictive models will be developed, validated, and applied to optimize future formulations. By combining computational tools with explainable AI techniques, the project seeks to uncover key design principles and reduce experimental workloads. The outcome will enable smarter, data-driven reformulation processes, advancing personalized medicine and next-generation drug delivery technologies. - Biomedical Engineering, Chemical Engineering, Electrical and Electronic Engineering, Industrial Biotechnology and Food Sciences, Interdisciplinary Engineering, Macromolecular Chemistry, Manufacturing Engineering, Materials Engineering, Mechanical and Industrial Engineering, Pharmacology and Pharmaceutical Sciences
- Internship, Semester Project
| Are you interested in discovering chemical reaction networks by using machine leaning approaches? And to discover new genetic circuit topologies capable of temporal signal processing and biocomputation?
Then we have the project for you! The details are below. Come join us! - Computational Biology and Bioinformatics, Control Engineering, Stochastic Analysis and Modelling
- ETH Zurich (ETHZ), 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
| Metal-halide perovskite solar cells are promising candidates for the next generation of photovoltaic devices, owing to their high power conversion efficiency (PCE), low cost, and light-weight. These perovskites display broad band-gap tunability, making them ideal for use in tandem solar cells, where multiple perovskite absorber layers with different band-gaps have been used to achieve efficiencies beyond the single-junction limit. However, despite the high performances displayed by all-perovskite tandem solar cell devices, they typically require bespoke fabrication techniques and are yet to reach commercial viability. Slot-die coating and doctor-blade coating offer promising routes for large scale industrial-style fabrication of these devices; it can be used to coat flexible substrates with high throughput roll-to-roll processing over large areas. However, formulation of new perovskite inks and optimisation of the coating parameters is needed to achieve the high-uniformity films required for solar cells.
This thesis will focus on the development of uniform perovskite layers on flexible substrates via scalable coating techniques, for the fabrication of solar cells with high efficiency and stability. This work will lay a solid foundation for the development of industrial scalable methods for upscaling of both perovskite single-junction and tandem solar cells.
- Chemistry, Manufacturing Engineering, Materials Engineering, Physics
- Master Thesis
| The reintegration of individuals who have experienced accidents is at the heart of our efforts. A severe car accident or a workplace accident, can profoundly change a person's life. Such tragic events often result in serious injuries, such as severed limbs, and are classified as "polytrauma." At our lab, we are working to mitigate the consequences of such severe accidents. Using an innovative perfusion machine, we try to keep severed limbs alive outside the body for up to four days. This time window provides the foundation for successfully retransplanting the limb to a stabilized polytrauma patient. - Biomedical Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis
| If you are interested in the synthesis of nanoparticles, then you are in the right place!
Project Description: The project is centered on the microwave-assisted synthesis of tungsten oxides and the characterization of their plasmonic properties. More specifically, the effect of reaction parameters (e.g. reaction temperature, time and pressure, reactants’ concentration, …) on the nanoparticles’ structure, morphology, and optical properties will be investigated. The main characterization techniques will be UV-vis and powder-XRD spectroscopy, together with electron microscopy (SEM, TEM, …) but others will be employed based on need.
Environment: You will work in a friendly group, where helping one another is valued and cherished.
Supervision style: I will actively teach you how to synthesize and characterize materials. You will also be directly supported throughout the whole project (meaning you will not be left completely alone, and a second explanation can always be given). At the same time, it’s expected that after an introductory period you will be able to work more autonomously and give your contribution to the project.
- Ceramics, Inorganic Chemistry
- Master Thesis
| The goal of this project is to develop an image-based analysis method that enables timely evaluations. - Chemical Engineering, Computer Software, Image Processing, Interdisciplinary Engineering, Manufacturing Engineering, Materials Engineering, Mechanical and Industrial Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| The goal of this project is to develop an analytical method that will enable even small material samples to be tested for their suitability for the extrusion process. - CAD/CAM Systems, Chemical Engineering, Food Engineering, Food Processing, Materials Engineering, Mechanical and Industrial Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| Based on pre-study, the aim of this new thesis project is to continue the research work and further improve the die design, fabricate new die variants using AM, and experimentally test them onsite at the facilities of Planted. - CAD/CAM Systems, Chemical Engineering, Food Engineering, Food Processing, Materials Engineering, Mechanical and Industrial Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| Project Summary
We’re developing a powerful new in vitro model to untangle the complex mechanical cues—osmotic pressure and substrate stiffness—that skin cells experience every day. These signals are deeply intertwined in the body, but we’re building a system to decouple and precisely control them, for the first time. Why? Because understanding how cells respond to these forces is crucial for engineering functional tissues, guiding organ regeneration, and tackling mechanobiology-driven diseases like fibrosis.
- Biochemistry and Cell Biology, Biomaterials, Diagnostic Applications
- Master Thesis
| Introduction and Background
Skin cells dynamically respond to mechanical and biochemical stimuli, which influence critical processes such as proliferation, differentiation, and migration. By understanding this interplay, mechanical and biochemical stimuli may be used in the future to facilitate the growth of skin patches, tissue formation, and organ regeneration, enabling new therapies and benefiting patients. The study of these responses, mechanobiology, requires advanced in-vitro systems to emulate physiological conditions. This project utilizes a device designed for controlled manipulation of hydrostatic pressure (0.1–1.5 kPa) and substrate stiffness (0.1–100 kPa). The system facilitates isolated and scalable experiments to analyze how the interplay of these mechanical parameters affects cell behavior. In this thesis, the student will use this system to investigate how different stimuli affect cell behavior.
- Biochemistry and Cell Biology, Biomedical Engineering, Biotechnology, Polymers
- Master Thesis
| This thesis develops an automated onboard waste quantification system for a maritime waste collection vessel, leveraging computer vision with continual learning and domain adaptation to replace manual counting of floating waste. Evaluated under real-world maritime conditions, the system aims to improve waste management in the South East Asian Sea. - Engineering and Technology
- Master Thesis
| diaxxo, a start-up from ETH Zürich, is transforming molecular diagnostics with an innovative Point-of-Care Polymerase Chain Reaction (PCR) device. Designed to accelerate and democratize access to diagnostic testing, our cutting-edge technology can be used across various fields, from human diagnostics to vet and food testing.
Our products are also tailored for use in developing countries and resource-limited settings, aiming to bring reliable diagnostics to every corner of the globe.
The company offers several projects and thesis opportunities focusing on interfacing computer and camera systems (e.g. controlling Camera Pi from ESP microcontrollers, and integrating hardware and software components to address design and automation challenges. - Chemical Engineering, Computer Hardware, Electrical Engineering, Manufacturing Engineering, Mechanical Engineering, Software Engineering
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| In this project, we focus on continuous and quantitative monitoring of activities of daily living (ADL) in SCI individuals with the goal of identifying cardiovascular events and PI-related risk behaviors.
ADLs specific to SCI patients and their lifestyles shall be discussed and narrowed down in the scope of this work, therefore an autonomous camera-based system is proposed to classify ADLs.
The Current work builds on a previous project where a SlowFast network [1] was trained to identify SCI-specific classes and we aim to further improve the classification and temporal resolution for transferring to wearables' time-series data. - Computer Vision, Health Information Systems (incl. Surveillance), Intelligent Robotics, Knowledge Representation and Machine Learning, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition
- Bachelor Thesis, Course Project, ETH for Development (ETH4D) (ETHZ), ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project
| 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
| Osteoarthritis (OA) presents a significant challenge in healthcare, necessitating innovative solutions to alleviate pain, enhance mobility. This thesis documents the research and development journey of an OA knee orthosis within the Spinal Cord and Artificial Intelligence Lab (SCAI-Lab) at ETH Zurich.
This thesis is a close collaboration between the ORTHO-TEAM Group and the SCAI-Lab at ETH Zurich. The collaboration offers a unique exchange of expertise and resources between industry and academia. Together, we aim to make meaningful progress in the field of and empower students to make valuable contributions to their academic pursuits.
- Biomechanics, Biomedical Engineering
- ETH Zurich (ETHZ), Master Thesis
| Our goal is to establish a heterocellular 3D printed bone organoid model comprising all major bone cell types (osteoblasts, osteocytes, osteoclasts) to recapitulate bone remodeling units in an in vitro system. The organoids will be produced with the human cells, as they could represent human pathophysiology better than animal models, and eventually could replace them. These in vitro models could be used in the advancement of next-generation personalised treatment strategies. Our tools are different kinds of 3D bioprinting platforms, bio-ink formulations, hydrogels, mol-bioassays, and time-lapsed image processing of micro-CT scans. - Biomaterials, Biomechanical Engineering, Cell Development (incl. Cell Division and Apoptosis), Cellular Interactions (incl. Adhesion, Matrix, Cell Wall), Polymers
- Bachelor Thesis, ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project
| Design and build dexterous human-like robotic hands with us at the Soft Robotics Lab and the ETH spin-off mimic. We will explore different possibilities of developing design features and sub-systems. The developed features shall be integrated into a fully functional robotic hand and applied to solve practical manipulation challenges. - Electrical Engineering, Mechanical Engineering
- Master Thesis, Semester Project
| This project explores the sustainable design of advanced catalysts for environmental applications, ranging from gas sensors to catalytic systems for pollutant degradation and clean energy production. Emphasizing atom-efficient materials such as single-atom catalysts and nanostructured metal oxides, the research integrates scalable synthesis techniques with nanoscale engineering to enhance activity, selectivity, and durability. These materials will be tailored for applications including air quality monitoring, electrocatalytic hydrogen production, and catalytic removal of environmental toxins. The project aims to build foundational insights that support real-world deployment of green technologies addressing pressing environmental challenges. - Chemical Engineering, Inorganic Chemistry, Interdisciplinary Engineering, Materials Engineering, Mechanical and Industrial Engineering, Physical Chemistry
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| In over 100 years, the remarkable ability of bone to adapt to its mechanical environment has been a source of scientific fascination. Bone regeneration has been shown to be highly dependent on the mechanical environment at the fracture site. It has been demonstrated that mechanical stimuli can either accelerate or impede regeneration. Despite the fundamental importance of the mechanical environment in influencing bone regeneration, the molecular mechanisms underlying this phenomenon are complex and poorly understood. - Biomedical Engineering, Medical Physiology
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| Das Praktikum bietet Einblicke in folgende Themen:
• Personalrekrutierung von Doktorierende und Postdoktorierende (inkl. Bewerbungsmanagement)
• Unterstützung von Mitarbeitenden und Führungskräften in HR-operativen Themen
• Employee Lifecycle (ohne Lohnverarbeitung)
• Personaladministration
• HR-Prozesse sowie HR-Projekte - Human Resources Management
- Internship
| Black carbon (BC) is a critical component of atmospheric aerosols, with significant implications for climate change, air quality, and public health. Affordable monitoring of black carbon is essential for advancing research and policy in under-monitored settings. Currently, commercial black carbon monitors are expensive, limiting their accessibility and deployment. Open-source black carbon monitors offer a promising alternative, providing a low-cost and customizable solution. However, existing open-source black carbon monitors typically measure light absorption at only a single wavelength, which restricts their ability to differentiate between BC from various sources.
A previous master’s student conducted an extensive literature review on the components required to develop a low-cost black carbon monitor and conducted a preliminary cost analysis. This proposal seeks to build on that foundational research by developing a low-cost, dual-wavelength black carbon monitor in the laboratory. - Environmental Engineering, Mechanical and Industrial Engineering
- ETH for Development (ETH4D) (ETHZ), Master Thesis
| The increasing integration of distributed renewable energy sources into electric power grids has highlighted the critical need for demand-side energy flexibility to balance intermittent power generation and ensure grid stability. Buildings, as major energy consumers, present a promising source of flexibility by adjusting their energy consumption to support grid requirements while maintaining occupants' thermal comfort. To achieve this, each building must manage its room temperatures to minimize cost while adhering to technical and operational constraints, as well as fulfilling flexibility provisions. Our preliminary studies indicate that reinforcement learning (RL) is a promising control strategy that can effectively meet these objectives \cite{svetozarevic2022data}. However, in practice, aggregators often prefer to provide flexibility targets to groups of buildings rather than to individual units, making direct implementation of RL-based control challenging.
This project aims to develop a mechanism for distributing flexibility provisions from a central system to individual buildings within a designated group. The goal is to allocate flexibility efficiently while maximizing social and economic welfare across all buildings in the category.
- Engineering and Technology
- Master Thesis
| Global Navigation Satellite System (GNSS) is a well-recognized technique for ionosphere monitoring as additional signal contributions, that GNSS signals experience while traversing the ionosphere, are proportional to the total electron content (TEC). Currently, the operational and publicly available GNSS-based global ionosphere maps are exclusively derived from slant TEC (STEC) acquired using geodetic-grade receivers. GNSS observations that are potentially available at large scale from affordable smart devices, such as smartphones, could form an attractive source of information to improve the spatio-temporal resolution of GNSS data sets that are available for the analysis in this subject. Since 2016, Android phone users can access the raw GNSS data within smartphones. In addition, modern smartphones can track nowadays dual-frequency multi-GNSS signals, which makes extraction of carrier-phase-based VTEC possible. The Space Geodesy group at ETH Zurich initialized a crowdsourcing campaign in March 2022 for collecting smartphone observations from interested participants. Up to now, several TBs of smartphone GNSS data has been collected globally, which provides a great opportunity to study the potential of ionosphere modelling using smartphones. - Earth Sciences, Geodesy
- ETH Zurich (ETHZ), Master Thesis
| Very Long Baseline Interferometry (VLBI) is versatile space geodetic technique, measuring radiation from extragalactic radio sources. VLBI supports a wide range of applications, including the determination of the terrestrial and celestial reference frames, measurements of the full set of Earth orientation parameters, and the determination of geophysical models. Due to its observation principle, VLBI observations have to be actively planned and organized between the radio telescopes.
In recent years, a dramatic growth in the number of satellites emitting radio frequencies can be seen. Most notably is the Starlink system, with more than five thousand satellites being in orbit already. These satellite mega-constellations threaten VLBI observations since their emitted artificial radio signals interferes with the natural radio signal emitted from the extragalactic radio sources, especially if the satellite is aligned with the observed radio source. So far, no active measures are in place to avoid VLBI observations in such cases. - Earth Sciences, Engineering and Technology
- ETH Zurich (ETHZ), Master Thesis
| To provide the geodetic infrastructure necessary for monitoring the Earth system and for Global Change research, an end-to-end redesign of the current geodetic VLBI operations called the VLBI Global Observing System (VGOS) is underway.
In this framework, new radio telescopes are constructed worldwide. These new telescopes form an independent network that has to be linked to the legacy station network that already has a decade-long observing history.
The Geodetic Observatory Wettzell is equipped with three radio telescopes, one 20-meter large legacy antenna that has been operational since 1983 and has contributed the most VLBI measurements worldwide, as well as two new 13-meter large VGOS-style telescopes. By using specially designed VLBI observation sessions between these three telescopes, it is possible to calculate the local baselines between the telescopes with highest accuracy, helping to link the legacy network to the VGOS network. - Earth Sciences, Geodesy
- Bachelor Thesis, ETH Zurich (ETHZ)
| In this project, you will investigate the use of event-based cameras for vision-based landing on celestial bodies such as Mars or the Moon. - Engineering and Technology
- Master Thesis
| The ionosphere causes delays in radio signals, measured by Vertical Total Electron Content (VTEC). This project replaces the least squares (LSQ) algorithm with a Kalman Filter (KF) for more accurate and adaptable VTEC estimation from VLBI data under dynamic ionospheric conditions. - Earth Sciences, Geodesy
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| This project aims to develop a machine learning framework for detecting landfalling atmospheric rivers by using GNSS-derived zenith wet delays. The goal is to explore the feasibility and effectiveness of GNSS data for atmospheric river detection, potentially providing an additional, valuable tool for monitoring and prediction. - Earth Sciences, Geodesy
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Thanks to dedicated space missions, such as SRTM and TanDEM-X, and the thorough processing of their observations, DEMs are generally available for all parts of the world with consistent accuracy and resolution. Furthermore, regional models for areas such as Europe or Switzerland are available, often derived from photogrammetry and dedicated radar flights. The absolute vertical error is typically reported to range from 1 m to 10 m. However, local errors can vary significantly depending on data restrictions, data collection methods, processing techniques, and local topographic conditions. - Earth Sciences, Geodesy
- Bachelor Thesis, ETH Zurich (ETHZ)
| 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
| Over the past four decades, Very Long Baseline Interferometry (VLBI) data analysis has relied heavily on manual processing by various analysts, introducing inherent human biases and leading to inconsistent results. Automating VLBI analysis stands to revolutionize this field by not only simplifying the workflow but also significantly enhancing the quality and consistency of data interpretation. - Earth Sciences, Geodesy
- ETH Zurich (ETHZ), Master Thesis
| The Nevada Geodetic Laboratory (NGL) is a global provider of GNSS solutions, offering data for approximately 20,000 stations worldwide. This includes both daily coordinate estimates and final solutions at a 5-minute resolution. While these final solutions typically exhibit a latency of about 2 weeks, the potential for additional solutions with shorter latency is recognized. Specifically, approximately 9,000 stations are poised for rapid solutions with a latency of around 24 hours, while 640 stations are designated for ultra-rapid solutions with a mere 2-hour latency. This extensive dataset presents a compelling opportunity for the application of machine learning (ML). - Earth Sciences, Geodesy
- ETH Zurich (ETHZ), Semester Project
| Developing efficient and effective pipelines for implementing advanced data screening and homogenization methods to obtain clean and homogenized long-term GNSS-based precipitable water vapor time series. - Atmospheric Sciences, Geodesy
- Bachelor Thesis, ETH Zurich (ETHZ), Semester Project
| The Global Navigation Satellite System (GNSS) serves as a versatile tool in both scientific research and everyday life. However, the Phase Center Offset (PCO) and Variation (PCV) models of GNSS antennas are necessary for high-precision demanding applications, such as accurate attitude determination for nano satellites and the determination of station coordinates at mm-level. The robot arm-based calibration method can achieve absolute antenna calibration with full coverage of azimuth and elevation angles, and thus it is commonly employed for calibration of geodetic GNSS antennas. Nowadays, low-cost GNSS antennas are extensively utilized across various applications owing to their cost-effectiveness. However, such low-cost antennas typically lack the necessary PCO and PCV models, impeding their broader applications.
The primary objective of this thesis is to calibrate of several low-cost GNSS antennas using a robot arm located on the rooftop of the HPV building at the ETH Hönggerberg campus. The antennas include products from taoglas and Frauenhofer designed for nano satellites, as well as several smartphone antennas. Additional experiments will be designed to validate and apply the obtained antenna models, with a focus on enhancing attitude determination, positioning accuracy and tropospheric delay determination. Successful completion of this thesis will equip the student the skills to operate the robot arm and a comprehensive understanding of the antenna calibration process. - Earth Sciences, Engineering and Technology
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Traditional Global Navigation Satellite System (GNSS) positioning algorithms mostly rely on the Extended Kalman Filter (EKF). While EKF is efficient in real-time applications, it has limitations, particularly in handling complex, nonlinear systems and large amounts of data. In recent years, Factor Graph Optimization (FGO) emerged as a more flexible and robust alternative. FGO represents the GNSS problem as a graph where variables (e.g., positions, velocities) are connected by factors (e.g., observations, motion models). Unlike EKF, FGO does not rely on sequential processing of data, allowing for more accurate, batch-based optimization of all variables simultaneously. This holistic approach can more effectively integrate various data sources and detect outliers, promissingly leading to improved performance, particularly in complex environments. - Earth Sciences, Geodesy
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Previous studies have demonstrated that following the loss of an upper limb, the deprived hand territory of the somatosensory cortex becomes responsive to afferent input of intact body parts (e.g., the face). It is hypothesised that this remapping of body parts is partially driven by adaptive behaviours, whereby the body part most often used to compensate for the missing limb is remapped into the cortical hand area. We are seeking motivated and independent students interested in one or both of the following tasks:
1. Pose Estimation: Use video analysis to quantify body part usage, with the goal of correlating compensatory movements with changes in brain organization.
2. Patient Recruitment & Data Analysis: Assist with patient recruitment, MRI scanning, and data analysis.
- Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
- ETH Zurich (ETHZ), Internship, Lab Practice, Semester Project
| Traditional facial motion capture systems, including marker-based methods and multi-camera rigs, often struggle to capture fine details such as micro-expressions and subtle wrinkles. While learning-based techniques using monocular RGB images have improved tracking fidelity, their temporal resolution remains limited by conventional camera frame rates. Event-based cameras present a compelling solution, offering superior temporal resolution without the cost and complexity of high-speed RGB cameras. This project explores the potential of event-based cameras to enhance facial motion tracking, enabling the precise capture of subtle facial dynamics over time. - Engineering and Technology
- Bachelor Thesis, Master Thesis, Semester Project
| Our lives on Earth are greatly influenced by the geopotential and its variation based on location, yet understanding it is often challenging. Therefore, a visualization tool is needed to show how changes in the Earth's shape and density affect the geopotential and its derivatives. - Earth Sciences, Geodesy
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Climate change is increasing tree mortality due to drought and biotic infestations, but current detection methods are limited by data availability and low transferability. This study aims to use deep learning with true color near-infrared RGBI aerial imagery to detect spruce mortality in mixed forests. By integrating field inventories and RGB imagery, the method will be analyzed using R or ArcGIS Pro to accurately assess vegetation conditions. - Environmental Sciences, Geomatic Engineering, Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| A dynamic tropospheric process noise model will be implemented into GNSS real time kinematic (RTK) algorithms to improve the estimation of drone-based GNSS zenith total delays (ZTDs). - Earth Sciences, Geodesy
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| This thesis explores ionospheric modeling using GNSS and potentially VLBI data, employing Gaussian Process regression to address the non-linear behaviors and noise inherent in such data. The study focuses on enhancing predictive accuracy and the quantification of uncertainties in ionospheric variations, which are essential for improving global navigation and communication systems. - Earth Sciences, Geodesy
- Bachelor Thesis, ETH Zurich (ETHZ)
| This master thesis aims to explore the application of Physics-Informed Neural Networks (PINNs) to regional geoid modeling. PINNs integrate physical constraints into neural network architectures, offering a novel approach to accurate geoid modeling while maintaining interpretability. - Earth Sciences, Geodesy
- ETH Zurich (ETHZ), Master Thesis
| In this study, the student should develop a generative model to separate the total signals measured by GRACE(-FO) satellite missions into the contributions of individual water storage components. The results will be evaluated by comparing them with independent in-situ and satellite-based storage observations. The findings of this study will contribute to a better understanding of the terrestrial water cycle from a global perspective. - Earth Sciences, Geodesy
- Bachelor Thesis, 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
| We invite applications for a Master's thesis / semester project that focuses on the fabrication of microrobots with custom shapes. Using our developed droplet printing technique, this project will explore how different microrobot shapes, created by different magnetic fields and materials, influence their control behaviors in blood vessels. This research aims to advance biomedical technologies, particularly in targeted drug delivery and minimally invasive procedures. - Biomedical Engineering, Colloid and Surface Chemistry, Materials Engineering, Nanotechnology, Printing Technology
- ETH Zurich (ETHZ), Master Thesis, Semester Project, Student Assistant / HiWi
| 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
| This project explores and extends the novel "deep state-space models" framework by leveraging their transfer function representations. - Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences
- Master Thesis, Semester Project
| Phasing out fossil fuel-based economies is a tremendous challenge in the effort to meet the 2°C climate target. First, low-carbon energy systems, fuels, and technologies must be fully integrated into the global energy system to achieve required greenhouse gas (GHG) emission reductions. Second, unavoidable GHG emissions must be removed from the atmosphere with carbon dioxide removal (CDR) technologies to achieve net-zero CO2 and GHG emissions in the 21st century. A portfolio of CDR technologies has been proposed, both nature- and technology-based CDR options. Direct air capture (DAC) with CO2 storage is a technology-based solution and is among the CDR technologies with the highest future CDR potential, up to 40 GtCO2/year. Alternatively, the CO2 sourced from DAC can produce low-carbon fuels instead of being stored permanently in geographical layers. Low-temperature DAC typically uses a sorbent to capture CO2 from the ambient air, which is challenging due to the highly dilute concentration of CO2 in ambient air requiring considerable energy requirements for CO2 capture. Latter energy requirements and the generation of by-products (such as water) are highly influenced by ambient air conditions, for example, relative humidity and temperature. Water is becoming an increasingly scarce resource, yet it is essential for producing many forms of energy (including low-carbon fuels, which are needed to tackle climate change). This dependency is known as the water-energy nexus and is a growing concern among many researchers. Previous studies have mainly focused on the costs and life cycle GHG emissions of DAC. However, one of the neglected aspects of solid sorbent DAC is the generation of pure water as a by-product. In this context, water produced via the DAC process could potentially be used to produce low-carbon fuels (e.g., methanol, synfuels, etc.) by combining captured atmospheric CO2 (from DAC), water, and other feedstocks. - Engineering and Technology
- Master Thesis
| As the main interface between interior and exterior environments, facades hold great potential to support the decarbonization of the building sector, while providing high visual and thermal comfort levels. The Solar Simulator and climatic chamber at the Zero Carbon Building Systems Lab [3] offer the opportunity to test and analyze the performance of envelope components, supporting the development of new facade system. After the completion of a first calibration phase, the lab infrastructure shall now be extended to a validated experimental setup for measuring solar gains, heat and light transmission through 1:1 scale facade components. The establishment of testing protocols and their validation is essential to enable the use of the laboratory infrastructure for future research projects. This thesis will develop a validated setup for measuring the angle-dependent solar, optical and thermal exchanges through facade systems. - Building Science and Techniques
- ETH Zurich (ETHZ), Master Thesis
| Glaciers worldwide are retreating due to climate change, leading to diverse consequences such as sea level rise, changes in water availability, increased natural hazards, and disruptions to tourism. In the European Alps, glaciers are a key attraction, drawing millions of visitors annually. One of the touristic attractivities of glaciers is their role in skiing. However, climate change in and especially recent extreme negative mass balance years have significantly impacted summer skiing (e.g., Abegg and Mayer, 2023). This MSc project aims to assess the effects of climate change on glacier-based ski resorts across the Alps. Potential study sites include Hintertux, Les Deux Alpes, Saas Fee, and Tignes, though other locations may also be considered. - Glaciology
- Bachelor Thesis, Master Thesis, Semester Project
| The purpose of this project is to enhance an existing
robotic platform capable of autonomously delivering
injections into the human eye. Rather than starting
from zero, the student will build upon substantial prior
research. The project’s primary focus is on industrial
design—making the system both visually appealing
and suitable for clinical settings. This includes
collaborating with external manufacturers for casting
and production, resulting in a polished, user-friendly
device for healthcare professionals. In addition, the
student will do some coding in Python (specifically for
motion planning) to run experiments on porcine and
mock-eyes using the updated design. - Engineering and Technology
- ETH Zurich (ETHZ)
| Integrating wind energy into Switzerland’s future energy system remains a complex challenge, with optimal use of available potential in an integrated system still underexplored. This project aims to enhance wind energy assessments by incorporating spatial-temporal wind potential into energy system modeling and analyzing its role in Switzerland’s energy transition, including social aspects. - Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis
| Laser ablation is mainly driven by the so-called laser-matter interaction. Especially for hard-to-machine materials like ceramics, which are gaining increasing attention in technical applications, the ablation phenomenon must be fully understood and controlled to achieve precise and selective material removal while maintaining material integrity. These materials have outstanding properties for a plurality of applications in industry; however, one is faced with the issue of finding a suitable manufacturing technique. Brittleness, hardness, and their tendency to crack lead to complications that could be addressed by the implementation of laser technology. However, experimental approaches alone are not expedient to fully handle and understand the complex phenomenon of laser ablation of ceramic multi materials. This is the motivation for introducing the first steps of simulating laser-matter interaction in multi-material ceramics within this project. - Manufacturing Engineering
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| To protect from chemical, biological, radioactive, and nuclear (CBRN) contaminants, disposable coveralls are used as personal protective clothing (PPC). In addition to its protective nature, PPC affects heat dissemination from the body, resulting in increased heat strain, which might result in reduced working performance. Therefore, new clothing material developments aim to reduce thermal load while maintaining a protective nature. We conduct a wearing trial in collaboration with an industrial partner to investigate the impact of different types of protective coveralls on heat strain during exposure to warm conditions, including resting phases and physical activity. - Exercise Physiology, Human Biophysics, Physiology, Systems Physiology, Textile Technology
- Internship, Lab Practice, Master Thesis, Semester Project
| The Swiss Energy Strategy 2050 aims to achieve zero net emissions target as of 2050. The four leading Swiss research institutes — Paul Scherrer Institute (PSI), Swiss Federal Laboratories for Materials Science and Technology (EMPA), Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), and Swiss Federal Institute of Aquatic Science and Technology (EAWAG)—are at the forefront of this en-deavour. In the context of the SCENE project, these institutes are collaboratively developing science-based roadmaps that outline the anticipated pathways to attain net-zero emissions before 2040. The tran-sition to net zero requires a multifaceted approach, encompassing technological advancements, con-sumption reductions, and market-based mechanisms for emission compensation and reduction. An es-sential component of this transition is a comprehensive CO2 emission-related cost analysis. This analysis will evaluate the financial implications of shifting energy technologies, reducing consumption, and imple-menting market-based emission compensation and reduction strategies. - Earth Sciences, Economics, Engineering and Technology, Policy and Political Science
- ETH Zurich (ETHZ), Master Thesis
| The deployment of onshore wind energy across Europe is influenced by multiple factors, including technical constraints, economic feasibility, environmental sustainability, and social acceptance. While cost-optimal solutions are commonly pursued, a more nuanced approach that considers trade-offs between various objectives is essential for informed decision-making. Different objectives such as low visual landscape disturbance, high monetary benefits, low annoyance to low residents, good wildlife protection etc., are summarized in a systematic review. To explore the trade-offs among these objectives from different stakeholders’ perspectives, Multi-criteria Decision Analysis (MCDA) is necessary for evaluating different possible alternatives. - Engineering and Technology
- Master Thesis
| Are you interested in applying data science, signal processing, and machine learning to cutting-edge sensor technology? This project offers an exciting opportunity to work on a unique dataset collected from an advanced wind tunnel experiment, where a high-speed electronic nose (e-nose) was used alongside a Planar Laser-Induced Fluorescence (PLIF) system to monitor gas dispersion. Your task will be to analyse the data, develop models to characterise the e-nose response, and explore methods to extract meaningful information such as response time, transfer function, and saturation effects. The findings will contribute to a better understanding of electronic nose performance in dynamic environments, with applications in environmental monitoring, robotics, and industrial sensing. - Intelligent Robotics, Knowledge Representation and Machine Learning, Robotics and Mechatronics, Signal Processing
- Bachelor Thesis, Semester Project
| This master thesis examines the bottlenecks in climate change adaptation for arable crop farming, with a focus on the behavioral and socioeconomic factors. By analyzing survey data from 700 farms in Germany, it aims to identify the key barriers to effective uptake of adaptation measures and provide insights for developing more efficient and targeted strategies to enhance agricultural resilience to climate change. - Agricultural Economics
- Master Thesis
| Livestock farming is the largest contributor to greenhouse gas (GHG) emissions within agriculture, raising the question of whether reducing livestock populations is essential for achieving low-emission agriculture. This thesis examines whether such reductions are a necessary condition and identifies bottleneck levels of livestock counts for given GHG emission targets. Using Necessary Condition Analysis (NCA), the research also explores the potential of alternative mitigation strategies, such as feed optimization, manure management, and technological innovations. - Agricultural Economics, Agricultural, Veterinary and Environmental Sciences
- Master Thesis
| Event cameras are an exciting new technology enabling sensing of highly dynamic content over a broad range of illumination conditions. The present thesis explores novel, sparse, event-driven paradigms for detecting structure and motion patterns in raw event streams. - Engineering and Technology
- Master Thesis
| Die Bachelorarbeit untersucht, wie Volksinitiativen und Referenden in der Schweiz die Agrar- und Ernährungspolitik beeinflussen und zur Transformation des Ernährungssystems beitragen. Im Fokus steht, inwiefern direktdemokratische Instrumente die Nachhaltigkeitsdimensionen – ökonomische, ökologische und soziale – im Ernährungssystem beeinflussen. Durch eine qualitative Analyse von Volksinitiativen und politischen Debatten wird aufgezeigt, wie Zielkonflikte zwischen diesen Dimensionen entstehen und welche politischen Anpassungsprozesse durch die direkte Demokratie angestossen werden. - Agricultural Economics, Agricultural, Veterinary and Environmental Sciences
- Bachelor Thesis
| Experiment with Gaussian Splatting based map representations for highly efficient camera tracking and simultaneous change detection and map updating. Apply to different exteroceptive sensing modalities. - Engineering and Technology
- Master Thesis
| This project consists of reconstructing soft object along with their appearance, geometry, and physical properties from image data for inclusion in reinforcement learning frameworks for manipulation tasks. - Engineering and Technology
- Master Thesis
| Push the limits of arbitrary online video reconstruction by combining the most recent, prior-supported real-time Simultaneous Localization And Mapping (SLAM) methods with automatic supervision techniques. - Engineering and Technology
- Master Thesis
| Computing, time, and energy requirements of recent neural networks have demonstrated dramatic increase over time, impacting on their applicability in real-world contexts. The present thesis explores novel ways of implementing neural network implementations that will substantially reduce their computational complexity and thus energy footprint. - Engineering and Technology
- Master Thesis
| The focus of this project is on the fabrication of microelectrodes for advanced neural interfaces in a cutting-edge cleanroom environment. Our research aims to develop high-resolution neural probes utilizing state-of-the-art microfabrication techniques. - Biomedical Engineering, Biosensor Technologies, Mechanical Engineering, Nanotechnology
- Master Thesis, Semester Project
| Are you passionate about embedded systems and sensor technology? We have an exciting project to develop the microcontroller interface for an advanced electronic nose, a molecular gas sensor array with applications ranging from ecological monitoring to robotics. This project is part of a larger, high-impact research initiative aiming to create a versatile sensing platform for real-world applications. - Biosensor Technologies, Electrical Engineering, Input, Output and Data Devices, Signal Processing, Software Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| Join the Sensors Group (https://sensors.ini.ch/) at the Institute of Neuroinformatics (INI), UZH-ETH Zurich to develop next generation audio systems for augmented auditory perception! This project explores advanced audio processing techniques to enhance human hearing beyond natural capabilities. You will develop and optimize algorithms that amplify, filter, and selectively enhance sounds in complex auditory environments. Applications include assistive listening devices, augmented reality audio, and situational awareness systems. The work involves designing deep learning models, improving real-time processing efficiency, and optimizing hardware cost on embedded platforms. - Computer Software, Electrical and Electronic Engineering, Signal Processing
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| This project focuses on the design of low-noise, low-power, compact amplifiers for next-generation neural interfaces. - Integrated Circuits
- Master Thesis, Semester Project
| diaxxo, a start-up from ETH Zürich, is transforming molecular diagnostics with an innovative Point-of-Care Polymerase Chain Reaction (PCR) device.
This project aims to enhance the detection module of Diaxxo's Point-of-Care Polymerase Chain Reaction (PCR) system by improving light uniformity to ensure precise and reliable optical detection. The redesigned detection block will be compatible with Diaxxo's existing cartridges and support multiplexing with up to three distinct light channels. High light uniformity across the cartridge will be a key focus to enhance detection accuracy and reliability. Additionally, the project emphasizes cost-effective design, leveraging affordable materials and methods to maintain performance without increasing production costs.
- Biomechanical Engineering, Electrical Engineering, Mechanical Engineering, Optical and Photonic Systems, Optics and Opto-electronic Physics, Optometry
- Bachelor Thesis, Master Thesis, Semester Project
| Project Title: Designing a Human-in-the-Loop Model for Behavior Classification in Videos
Description:
We are looking for a motivated student to join an exciting interdisciplinary project that combines neuroscience, machine learning, and human-computer interaction. The project involves building a robust model for behavior classification in videos with a human-in-the-loop approach. The data for this project has already been recorded, and the next steps involve integrating new data, improving the model, and implementing machine learning solutions using Python and popular ML libraries. - Biology, Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis
| The project aims at investigating material-induced osteoinduction using the available mouse model of orthotopic or ectopic bone graft substitute (BGS) application. Through the 3D-3D registration of ex vivo and in vivo multiscale micro-CT images, crucial 3D mineralization behavior of the BGS can be investigated. - Biomedical Engineering, Medical and Health Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| In our project, the objective is to detect nitrogen dioxide gas (NO2) through Carbon Nanotube (CNT) gas sensor array by repeatedly measuring the transfer characteristics of the CNT-FETs (Field Effect Transistors) in the array. However, achieving sensor recovery poses a challenge, necessitating the application of high voltage pulses at regular intervals to heat the channel and desorb gas molecules (self-heating). Our current measurement mode face challenges in independently controlling and tuning the voltages for each device. This project aims to develop a new PCB design that addresses these challenges.
- Electrical and Electronic Engineering
- Master Thesis, Semester Project
| Pesticide-free (non-organic) crop production is currently gaining ground in European agriculture as a new alternative pathway between conventional and organic farming. To successfully produce crops without using pesticides, farmers must adopt sustainable crop protection measures, e.g., following the principles of integrated crop protection (IPM) or agroecological crop protection (ACP). Even though both production systems, i.e., pesticide-free non-organic and organic, work without pesticides, the alternative crop protection measures used may differ between organic and non-organic farms. To date, little is known about potential differences between farming systems without pesticides regarding the adoption of alternative crop protection strategies. - Agricultural, Veterinary and Environmental Sciences
- Master Thesis
| Climate change is causing increased tree mortality due to drought and biotic infestations, but current methods for automatic detection are limited by data availability and low transferability. This study aims to develop a deep learning approach using true color near-infrared RGBI aerial imagery to detect spruce mortality in mixed forests. By integrating field inventories and RGB imagery, the method will be analyzed using R or ArcGIS Pro. The latest advancements in remote sensing data offer a promising solution to accurately assess vegetation conditions at various scales. - Environmental Sciences
- ETH Zurich (ETHZ), Master Thesis
| Forests provide essential ecosystem services, with wood production being a key source of income for forest management. However, wood is a heterogeneous good, and deriving accurate revenues and costs from forest growth simulations is complex. This project aims to develop a sophisticated wood valuation framework for Switzerland, addressing the limitations of current models. The framework will enhance decision support systems, aiding in efficient forest management, economic forecasting, and policy design - Environmental Sciences
- ETH Zurich (ETHZ), Master Thesis
| The aim of the project is to develop a simple method for fabrication of kirigami-inspired laser-cut or molded antennas on flexible substrates. This technology will enable advancements in wearable electronics for wireless communication and sensing applications. - Antenna Technology
- Bachelor Thesis, Semester Project
| Climate change is altering forest composition and structure globally, necessitating forecasts of management approaches to sustain forest ecosystem services (ESS). Models of forest development (MFD) and decision support systems (DSS) are key tools, but linking their outputs to specific ESS indicators remains challenging. This project aims to identify and assess the use of criteria and indicators in forestry, evaluate modelling results from MFD and DSS, and match these outputs with relevant forest characteristics such as biodiversity and carbon storage. The goal is to develop proxies for assessing the potential diversity of future forests. - Environmental Sciences
- Bachelor Thesis
| 8 – 13 September 2025 - The 2024 climate crisis, marked by extreme heat in Lombardy and northern Italy, calls for urgent adaptation strategies. This workshop invites students to explore how small and medium-sized towns like Crema can adapt to climate change by focusing on the redesign of public spaces to tackle heat, water scarcity, and new urban questions. Participants will meet experts, engage with local administrations, and experience firsthand the impact of climate change while imagining radical solutions for the future of cities. - Engineering and Technology
- IDEA League Summer School (IDL), Summer School
| Climate change is accelerating the impact of spruce bark beetle (Ips typographus) calamities on Norway spruce forests, particularly in Central Europe. Proactive, long-term adaptation of tree-species composition is more promising than reactive outbreak control for managing these beetle outbreaks. However, studies suggest that the spatial configuration of tree species may have an even greater effect on reducing pest spread. This project aims to evaluate the effectiveness of different management strategies, their interactions, and the importance of cooperation among forest owners in mitigating economic losses and enhancing ecosystem services. - Agricultural, Veterinary and Environmental Sciences, Environment and Resource Economics
- ETH Zurich (ETHZ), Master Thesis
| Forest stands are frequently affected by natural and manmade disturbances, such as windthrow, insect calamities, or tree harvests. Small-scale disturbances, which cause partial stand removal, are more common and lead to changes in light, microclimate, and wind forces for remaining trees. The response of trees to these disturbances varies based on species, morphology, and life history, influencing forest resilience. This project aims to develop and test hypotheses on factors determining tree response to disturbances, using long-term data from research plots in Switzerland. - Environmental Sciences, Forestry Sciences
- Master Thesis
| Soft robotics has gained significant attention in recent years due to its ability to perform delicate and adaptive tasks that traditional rigid robots cannot achieve. Among various actuation methods, ultrasound-driven soft robots present a promising avenue for non-contact and precise control in liquid environments. These robots have potential applications in biomedical fields, microfluidics, and underwater exploration. The integration of ultrasound as an actuation mechanism enables efficient propulsion, controlled deformation, and complex locomotion patterns. - Engineering and Technology, Physics
- Master Thesis
| 30 June – 4 July 2025 - The EASYGO-ON Training Week focuses on geophysical monitoring in geothermal systems, teaching students key techniques like seismics and electromagnetics for geothermal exploration and energy production. The program includes theoretical sessions, networking, student presentations, and a field visit. - Engineering and Technology
- IDEA League Summer School (IDL), Summer School
| 21 – 25 July 2025 - Structured decision-aiding is essential for tackling complex problems that involve conflicting factors, interconnected systems, and externalities. This course explores multidisciplinary evaluation approaches and tools for decision-aiding in areas like urban resilience, sustainability, and climate change, fostering skills to manage complexity effectively. - Engineering and Technology
- IDEA League Summer School (IDL), Summer School
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