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**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
- Its free and will always be! 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 in our database Selection of open positions in our database Mobility is typically self-optimized for a particular region to accommodate internal travel needs. However, as soon as one considers multiple, interacting regions (e.g., urban areas interacting with agglomerations, and agglomerations interacting with rural areas), important coordination issues occur, including scheduling mismatches, fleet allocations, and congestion peaks. In short, a mobility system composed of self-optimized mobility systems seems to often operate suboptimally.
In this project, we will investigate the idea of strategic interactions of future mobility stakeholders across heterogeneous regions, such as urban areas, agglomerations, and rural areas, leveraging techniques from network design, optimization, game theory, and policy making. - Automotive Engineering, Information, Computing and Communication Sciences, Mathematical Sciences, Mechanical and Industrial Engineering, Transport Engineering
- Master Thesis, Semester Project
| Conventional pharmaceutical and nutraceutical products (e.g., sport supplements) provide limited control over the release of bioactive ingredients (AIs) and poor absorption and bioavailability. To grant a proper therapeutic effect and athletic performance, common products need frequent intake at high dosages. This scenario is associated with an increased risk of short and long-term complications that can affect the performance of athletes as well as compromise the health long-term. Recently, novel techniques (e.g., 3D printing) and biomaterial formulation have become available for personalized sport supplements. The high versatility, flexibility, and increase absorption resulting from such products, open the way for increasing performance in sport but also for health benefits to generic people by target physiological characteristics and needs of specific groups. - Biomedical Engineering, Biotechnology, Chemical Engineering, Human Movement and Sports Science, Industrial Biotechnology and Food Sciences, Macromolecular Chemistry, Manufacturing Engineering, Materials Engineering, Medical Biochemistry and Clinical Chemistry, Medical Physiology, Pharmacology and Pharmaceutical Sciences
- Internship, Lab Practice, Master Thesis, Semester Project
| Gene therapies have the potential to enable the treatment of multiple currently incurable diseases, but delivery of these therapeutic molecules to the target tissue continues to present a major obstacle to their success and clinical translation. Our lab at Brigham and Women's Hospital has invented multiple novel drug delivery strategies, multiple of which have begun to be evaluated in human clinical trials. We are currently working to develop next-generation gene delivery platforms to accelerate the translation of these potentially transformative therapies to the clinic. - Biology, Chemistry, Materials Engineering, Pharmacology and Pharmaceutical Sciences
- Internship, Master Thesis
| In 2021, solar and wind power for the first time provided more than 10% of the world’s electricity [1]. This makes wind a major and strategic part of the mix to achieve the energy transition and a green economy. Despite broad public support for renewables in general, challenges in social acceptance for wind continue to occur regionally and locally. The opposition usually focuses on aspects such as wildlife safety, biodiversi-ty protection, noise, visibility and landscape impacts, and loss in property values [2, 3]. For the effective implementation of wind farms, it is crucial to understand and address these varying facets of social accept-ability. This study aims to assess the perspectives of residents living near wind farms across different Euro-pean regions, employing Multicriteria Satisfaction Analysis (MUSA) [4]. The objective is to devise region-specific strategies to enhance the acceptability of wind energy projects. Additionally, this research will ex-plore the relationship between socio-demographic and geographical characteristics of the residents and their acceptance of wind power, aiming to uncover underlying factors influencing the social acceptability of wind energy. - Engineering and Technology
- Master Thesis
| In this master thesis, the student will investigate different linear motor types and
topologies for the future 3km AlphaTube vacuum transport demonstrator, such as the
permanent magnet synchronous motor and the synchronous reluctance motor. - Electrical Engineering
- Master Thesis
| In this project, you will compare conventional LCL-filter design methods and analyze the impact of controllers on the design methods. Then, you will investigate a new design method of LCL filters when MPC is applied. - Electrical Engineering
- Master Thesis
| In this master thesis, the student will consider the expected power profile of a
hyperloop vehicle, and the models relative to the propulsion and levitation systems will be
extracted and compared with the corresponding one of high speed railway. After having
established the expected performance, the thesis will focus on which power system
architecture is most suitable of future Hyperloop systems. - Electrical Engineering
- Master Thesis
| In this project, you will first analyse an implemented quadratic program (QP) solver using Intel high-level-synthesis (HLS) tool and develop an optimization routine to compare the performance considering hardware resource constraints. - Electrical Engineering
- Master Thesis
| An alternative solar particle receiver (SPR) configuration is proposed, in which particles are falling inside a duct against a counter-current air flow. The aim of this work is to investigate the thermal performance of the receiver and to gain a better understanding of the physical phenomena taking place. - Fluidization and Fluid Mechanics, Heat and Mass Transfer Operations, Mechanical Engineering
- ETH Zurich (ETHZ), Master Thesis
| In this project, you will search the suitable current measurement methods and design the measurement system for strand current. You will validate your design with simulation tools like FEM. Finally you will implemented and test your design. - Electrical Engineering
- Master Thesis
| In this project, you will implement analytical switching loss models from literature in Matlab, simulate switching losses in LTspice, and compare them to the measurement results with an existing PCB. - Electrical and Electronic Engineering
- Master Thesis, Semester Project
| Development of a software tool which visualises the geometry of a basic switching cell based on geometrical parameters derived by converter optimisation procedures - Electrical Engineering
- Master Thesis, Semester Project
| Development of switching cell mechanical models in the X3D format based on geometrical parameters derived by converter optimisation procedures - Electrical Engineering
- Master Thesis, Semester Project
| In this project, you will extend an analytical SiC MOSFET switching loss model to GaN HEMTs in Matlab, simulate switching losses in LTspice, and compare them to the measurement results with an existing PCB. - Electrical and Electronic Engineering
- Master Thesis, Semester Project
| Use Inverse Reinforcement Learning (IRL) to learn reward functions from previous expert drone demonstrations. - Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
| In this project you will model the 3D geometry of litz wire by a mathematical algorithm. Furthermore, the current density distribution and the eddy current losses should be calculated for different termination strategies and for different litz wire geometries by FEM. The impact of improper terminations should be qualitatively/quantitatively analysed. - Electrical and Electronic Engineering
- 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
| Explore the use of large vision language models to control a drone. - Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
| The goal of the project is to develop a system-level design for a particle accelerator. - Electrical Engineering
- Master Thesis, Semester Project
| Learn complex drone maneuvers from human feedback using Reinforcement Learning (RL). - Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
| In this project, you will conduct measurements of a bearingless spinfilter prototype with state-of-the-art equipment of the industry partner under different conditions. The measurement data will be processed to find the optimum operation point and you will conduct an error caluclation. - Fermentation, Biotechnology and Industrial Microbiology, Mechanical Engineering, Numerical Analysis
- Semester Project
| In this project, you will use the power device analyser to measure SiC MOSFET device characteristics at different temperatures. Then you will investigate the gate charge measurement, together with the gate resistance measurement using a Vector Network Analyser. - Electrical Engineering
- Semester Project
| The goal of the project is to develop a thermal model of a pulse transformer for a particle accelerator. - Electrical Engineering
- Master Thesis, Semester Project
| xxx - Electrical Engineering
- Master Thesis, Semester Project
| In this project, you will plan, design and commission an automatic System to purity BSA with bearingless motors for mixers, pumps and sensors from the industry partner. - Fermentation, Biotechnology and Industrial Microbiology, Mechanical Engineering
- Master Thesis, Semester Project
| xxx - Electrical Engineering
- Master Thesis
| In diesem Projekt wird zuerst das magnetische Ventil modelliert. Danach soll ein Regler für die effizientere Ansteuerung verwendet werden. - Control Engineering, Electrical Engineering, Mechanical Engineering
- Bachelor Thesis, Semester Project
| In this project, you will analyse conventional EMI-filter design methods and investigate the impact of MPC on the optimal filter design. Then, you will further compare other variables. - Electrical and Electronic Engineering
- Master Thesis, Semester Project
| xxx - Electrical Engineering
- Master Thesis, Semester Project
| The aim of this master thesis is to propose a design of a DC/DC insulated
converter integrated with the PV plant into the 3kV DC bus, taking into account the spatial
peculiarities of a 3km long linear PV array. - Electrical Engineering
- Master Thesis, Semester Project
| In this thesis the student is provided the opportunity to optimize and build a medium frequency transformer - Electrical and Electronic Engineering
- Master Thesis, Semester Project
| Implementation of a localization and state estimation system for a special ground robot using IMU and 2D LiDAR. The ground robot is part of a Gravity offload system for testing of spacecraft solar arrays (which are designed for microgravity) on earth. - Intelligent Robotics
- Semester Project
| In this thesis the student will investigate different methods to measure the partial discharge inception of transformer winding geometries. - Electrical Engineering
- Master Thesis
| In this master thesis, the student will investigate the strategy for the switching of
long primary motor segments, the transient effects caused by it, possible mitigation
measures (i.e. filters) and propose a hardware setup for the final configuration. - Electrical Engineering
- Master Thesis
| In this project, you will develop a tool to automatically scan and recognize obstacles in urban orienteering maps. Then, an any-angle path finding algorithm shall find the shortest route choices, which are further analyzed in terms of elevation gain, running speed and amount of turns. - Coding and Information Theory, Computer Vision, Image Processing, Multimedia Programming, Programming Techniques, Software Engineering, Sport and Exercise Psychology
- Master Thesis, Semester Project
| Iron deficiency anemia (IDA) is one of the most widespread nutritional deficiencies worldwide, increasing the risk for disability and death for more than two billion people. Iron supplements are needed for prevention of iron deficiency, especially among infants, children and pregnant women, and for correction of IDA in all affected individuals. Conventional iron supplements, commonly cause nausea, epigastric discomfort and other gastrointestinal side effects that lead many individuals to discontinue and avoid their use.
In this project, gastric resident systems (GDSs) will be produced using advanced manufacturing approaches (e.g., 3D printing) and the resulting release kinetic of the bioactive compounds will be characterized. Based on the results, different GDSs 3D design, formulations, and combination of active compounds will be tested. - Biology, Chemistry, Engineering and Technology, Medical and Health Sciences
- Master Thesis, Semester Project
| The goal of this project is to use language prompts to help find object parts in 3D. - Computer Vision
- Master Thesis, Semester Project
| In this project, we want to explore the application of predictive stability filters for automotive applications. Predictive stability filters allow augmenting human or learning-based controllers such that safety in terms of constraint satisfaction as well as stability of a desired setpoint can be guaranteed. Such algorithms present possible solutions for automotive applications such as, e.g., lane keeping. - Engineering and Technology, Systems Theory and Control
- Master Thesis
| We have several projects on integrated and free-space nonlinear optics experiments. This includes expeirments with lithium niobate photonics for frequency conversion and quantum information; analog computing in disordered media; characterization of nonlinear materials.
These projects include simulations of nonlinear optical systems, fabrication and analysis techniques, optical characterization and data analysis. - Quantum Optics and Lasers
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| 12-lead electrocardiograms (ECGs) are still solely documented on paper in many hospitals, especially in the Global South. These physical paper records provide a multitude of conditions recorded in many different countries. Our lab has access to a dataset with more than 8000 patient’s ECG photos / scans of 12-lead signals printed onto physical paper sheets. The dataset comprises 12-lead ECG image records from more than 35 hospital sites across Europe. The primary objective of this project is to develop an automated digitization pipeline from raw image scan in .png format towards 12 vectorized ECG time series in WFDB format. - Computer Vision, Engineering and Technology, Medical and Health Sciences
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| This project aims to revolutionize the analysis of electroencephalography (EEG) data by developing a specialized foundational model utilizing the principles of artificial intelligence. Despite the critical role of EEG in diagnosing and treating neurological disorders, challenges such as low signal-to-noise ratios and complex signal patterns hinder practical analysis. By adapting strategies from successful domains like natural language processing and computer vision, this project will build a machine learning model tailored for EEG signals. The model will undergo extensive pre-training on diverse EEG datasets to establish a robust understanding of neural activities, followed by fine-tuning for specific clinical tasks such as seizure detection and sleep stage classification. Our approach promises to enhance the accuracy, efficiency, and accessibility of EEG diagnostics, paving the way for improved patient outcomes. Validation and testing using standard performance metrics will measure the model's efficacy, setting a new standard in EEG analysis. - Electrical Engineering, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing, Simulation and Modelling
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| The objective of this project is to determine the metric relative pose between two images using object-to-object matches. - Computer Vision
- Master Thesis, Semester Project
| The primary objective of this project is to develop an automated pipeline for the identification and recognition of patterns within urodynamic recordings, utilizing urodynamic recording data in conjunction with annotated patterns provided by experts. This endeavor seeks to reduce the susceptibility of interpreting urodynamic recordings to potential errors arising from human judgment and inaccuracies, thereby improving the management of urinary tract complications in patients with spinal cord injury. By implementing a systematic approach to pattern recognition in Bladder Valomue/Pressure Time Series Measurements of urodynamic data, the potential for error in decision-making can be significantly reduced. - Artificial Intelligence and Signal and Image Processing, Biomedical Engineering, Biosensor Technologies, Computer Hardware, Computer-Human Interaction, Electrical and Electronic Engineering, Engineering/Technology Instrumentation, Mechanical Engineering, Medical Biotechnology
- Internship, Master Thesis, Semester Project
| To achieve net zero emission targets replacement of fossil fuels is inevitable. In grand scheme of things Hydrogen plays a grand role in taking a major part of new fuel economy [1]. Techno economic analysis of hydrogen energy systems presents a very bright outlook [2]. The energy transport cost will also play an important role for the ultimate energy pricing. Therefore, it becomes imperative to search for the optimal installation locations for the large/small scale hydrogen storage systems considering the environmental, geological and accidental risk factors. A Multi criteria decision making analysis coupled with GIS data would provide the most economical and safe installation sites [3]. | The aim of the project is to develop a deep learning model capable of performing 3D semantic segmentation of the different features of the middle ear, from synchrotron-based X-ray microtomography 3D volumes. Challenges include developing a high-performance algorithm for handling large data sizes (20 GB per volume). The project consists in a first phase about dataset generation followed by a second phase of development/selection of the most appropriate DL model and metrics. - Computer Vision, Image Processing, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Otorhinolaryngology
- Collaboration, Master Thesis, Semester Project
| In our lab we are analysing droplet-microfluidic generated multi-spectral images of single-cell secreting multiple protein simultaneously. As multifunctionalities of immune cells are understudied we are aiming at developing further data science tools for image analysis, cell detection, multi-functionality read-out and data visualization. This student project aims at building on previous data science and software development projects which have developed a comprehensive pipeline to analyse large fluorescent imaging files from single-cell secretion experiments inside droplets. The software includes droplet detection and tracking, cell identification and scoring, protein secretion read-out and classification, grouping and subpopulation data analysis together with plotting of visualisation tools. The image analysis includes Matlab, machine learning algorithms and Python Data Science tools. - Biomechanical Engineering, Diagnostic Applications, Modeling and Simulation
- Bachelor Thesis, Course Project, ETH Zurich (ETHZ), Internship, Semester Project
| Open vocabulary video semantic segmentation (OV-VSS) aims to assign a semantic label to each pixel of each frame of the video given an arbitrary set of open-vocabulary category names. There are a number of attempts on open vocabulary image semantic segmentation (OV-ISS). However, OV-VSS does not get enough attention due to the difficulty of video understanding tasks in modeling local redundancy and global correlation. In this master thesis project, we plan to fill the gap by extending existing OV-ISS methods to OV-VSS. Specifically, we aim to develop a OV-VSS method which achieves high accuracy by using temporal information and keeps high efficiency.
- Artificial Intelligence and Signal and Image Processing
- Master Thesis
| The widespread adoption of wearable technology enables continuous monitoring of physiological parameters like activity levels, heart rate, and sleep patterns. This study investigates the relationship between wearable measures and well-being, focusing on physical and mental health as well as overall quality of life. - Artificial Intelligence and Signal and Image Processing
- ETH Zurich (ETHZ), Internship, Master Thesis, Semester Project
| This study aims to detect voice pathologies distinguishing homophonic from dysphonic labels. - Information, Computing and Communication Sciences
- Internship, Master Thesis, Semester Project
| This study aims to investigate the relationship between cough and health status among heart failure patients, recognizing cough as a potential indicator of underlying health status and symptom severity. - Information, Computing and Communication Sciences
- Internship, Master Thesis, Semester Project
| Bühler, a leading industry manufacturer in Uzwil, is partnering with ETH Zürich's Feasibility Lab to offer a unique master thesis opportunity. Throughout your thesis, you'll work hand-in-hand with a team of like-minded peers, following the principles of cross-functional teamwork and agile project planning. You can explore your interests in AI/Machine Learning, Robotics, UX, Additive Manufacturing, Food Science and more and actively define your own project scope. - Digital Systems, Environmental Technologies, Industrial Biotechnology and Food Sciences, Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| This project aims at developing a machine learning approach (for example, using convolutional neural networks) for localizing and tracking anatomical landmarks from cardiac MR images. - Biomedical Engineering, Electrical and Electronic Engineering
- Master Thesis
| Drying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Drying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| The project investigates the development of a co-axial extrusion methods for large-scale 3D printing bio-cementation structures. The extruded paste will host microorganisms such as S.Pasteurii, capable of precipitating calcite (MICP) to create bio-concrete structures. A robotic paste 3D printing platform will be used for the fabrication process; the bio-paste will be precipitated and calcified by the bacterial activity reinforcing the material. - Architecture, Urban Environment and Building, Chemistry, Engineering and Technology
- Bachelor Thesis, Master Thesis, Semester Project
| Pressing challenges in climate change require the development of the next generation of renewable materials addressing cooling, CO2 capture and energy production. Bacterial cellulose (BC) is a very promising material to be used in a sustainable future as it is purer than plant-extracted cellulose and most importantly, it is produced in a sustainable and scalable way [1]. To exploit the use of BC as a functional material, such as heat insulators or filters, we need to develop robust methods to control their macrostructure.
In this project, you will explore the combination of phase separation techniques [2,3] in bacterial cellulose hydrogels to tune the morphology of the phase. And study the optical and mechanical properties of the resulting novel materials.
[1] Z. Wu, et al. ‘Insights into hierarchical structure–property–application relationships of advanced bacterial cellulose materials’, Advanced Functional Materials 33, 2214327 (2023).
[2] Fernandez-Rico et al, ‘Putting the Squeeze on Phase separation’, JACS Au (2021).
[3] Fernandez-Rico et al, ‘Elastic microphase separation produced robust bicontinuous materials’, Nature Materials (2023).
- Architecture, Urban Environment and Building, Biology, Chemistry, Engineering and Technology, Physics
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Sum-of-Squares (SOS) relaxation is a beautiful technique to solve nonconvex optimization problems. As computational capabilities continue to increase, so is the scope of engineering challenges that can be tackled with this method. The goal of this project is to exploit the flexibility of SOS relaxations to design new data-driven control methods for linear dynamics, that can more efficiently incorporate prior knowledge on the system and cope with noisy input-output data. - Dynamical Systems, Optimisation, Systems Theory and Control
- Applications (IfA), Computation (IfA), Master Thesis, Theory (IfA)
| The goal of the project is to develop and test a smart sock prototype for plantar pressure measurements. The smart sock contains textile based pressure sensors and a readout module. This technology can be used for plantar pressure monitoring in diverse wearable applications ranging from healthcare to sports. - Biomedical Engineering, Medical and Health Sciences
- Master Thesis
| The efficient operation of excavators in construction environments necessitates precise pose estimation of their buckets. Current methods rely on IMUs placed on the excavator arm which require tedious calibration and can be damaged during construction operations. This project aims to leverage computer vision and machine learning to enhance pose estimation, thereby enabling VR overlays for teleoperation and facilitating automation tasks. - Information, Computing and Communication Sciences
- Master Thesis, Semester Project
| The Traverso Lab at Brigham & Women's Hospital (Harvard Medical School) is focused on the development of commercializable products and technologies. One of our current interests is in leveraging computational and experimental methods to develop novel food products. We are seeking motivated and independent students to join our lab for their master's thesis. Students will be expected to develop competent physical models, simulate fluidics and mechanics, perform rheological tests, and validate theoretical models with experiments. Experience in these areas is beneficial but not necessary. We aim to recruit students with creativity, a willingness to learn, and the ability to work collaboratively on a team of interdisciplinary scientists and engineers. - Engineering and Technology
- Internship, Master Thesis
| About 8inks:
Lithium-ion batteries have revolutionized the world we live in today by enabling applications in mobile electronics
ranging from laptops, smart phones, to smart watches. Today, electrification of large industries such as electric
passenger vehicles, trucks, grid energy storage, and aviation is inhibited as conventional lithium-ion batteries
approach the limits of their performance. NextGen batteries are considered to bring the required performance
improvements but lack a low-cost, scalable manufacturing solution for market breakthrough.
At eightinks, we develop a revolutionary manufacturing solution of NextGen batteries: multilayer curtain coating. Our
technology allows high battery energy density, charging speed, and safety, all combined with lower production costs. It
is material agnostic and can serve as a platform solution for various segments of the battery market. To develop our
technology to the earliest possible market entry, we are working on all relevant aspects of NextGen battery design,
production, assembly, and testing. - Engineering and Technology
- Internship, Student Assistant / HiWi
| Landslides are a dangerous natural hazard affecting the lives of people all over the world. This thesis will focus on the detection of paraglacial landslides from a global glacier-velocity dataset. The behavior of these sites throughout time will be analyzed and compared to an existing landslide database. - Geomorphology, Glaciology
- Master Thesis
| We are developing a teleoperated micro-assembly system. A core component is a force-sensitive micro-gripper. A first gripper prototype has been realized and evaluated. Your task will be to review and improve the current design and to implement automated object slippage detection. - Mechanical and Industrial Engineering, Robotics and Mechatronics
- Master Thesis
| The main goal of this work is to develop a modular system for the characterization and tuning of ultrasonic transducers both in hard- and software
Due to the intended modularity of the system in soft- and hardware, we can guarantee a high flexibility of the setup. This means that the system can be adapted in operation for a wide variety of transducer types and setups. - Electrical Engineering
- Bachelor Thesis, Semester Project
| In many autonomous navigation applications, the robot must interact with the environment to learn and complete tasks. Furthermore, these applications are safety-critical, and crashes cannot be afforded. This necessitates the safe learning of the unknown environment in order to achieve the task objective (e.g., detecting a leak or mapping an area). For example, consider an application of safe exploration in a warehouse with a wheeled robot to identify the source of a gas leak. - Mechanical Engineering
- Master Thesis
| Antarctic ice sheets contribute significant uncertainty to sea level rise projections due to processes occurring deep beneath the ice. This project will use existing data from two passive seismic deployments to investigate the ice sheet – ice shelf transition of Kamb Ice Stream in West Antarctica. - Earthquake Seismology, Glaciology
- Master Thesis
| The project will investigate the retreat and collapse of the Gorner-Grenzgletscher junction and quantify the role of englacial melt in the overall ice-loss budget. | The surface mass balance of a glacier is critical in determining its long-term evolution. This thesis will explore the effect that the activities of a gold-mine operating next to a glacier has on the glacier mass balance. The area of interest is located in Kyrgyzstan and the project will make use of both numerical modelling and data collected in situ. | Join a team of scientists improving the long-term prognosis and treatment of Spinal Cord Injury (SCI) through mobile and wearable systems and personalized health monitoring.
Joining the SCAI Lab part of the Sensory-Motor Systems Lab at ETH, you will have the unique opportunity of working at one of the largest and most prestigious health providers in Switzerland: Swiss Paraplegic Center (SPZ) in Nottwil (LU). - Artificial Intelligence and Signal and Image Processing, Computer Software, Data Format, Information Systems
- ETH Zurich (ETHZ), Internship, Lab Practice, Student Assistant / HiWi
| A key barrier hindering the swift introduction of autonomous vehicles (AVs) in real-world contexts is the challenge in establishing clear safety benchmarks. Specifically, the issue of systematically assessing both performance and safety remains a significant stumbling block within the industry.
This challenge is mainly twofold: Firstly, how can we identify an ideal scenario set to evaluate the vehicle's performance within a targeted Operational Design Domain (ODD) and what criteria would be useful in amplifying or paring down this set?
Secondly, how do we determine a substantial stopping criteria for the evaluation campaign, and what level of confidence should be attached to the observed performances? - Applied Statistics, Automotive Engineering, Intelligent Robotics, Other
- Master Thesis, Semester Project
| Meeting the demands of evolving manufacturing and environmental landscapes frequently entails the development of pioneering processes and materials. Yet, generating innovative materials presents its own set of challenges. This project necessitates the establishment of a methodology for producing rods and wires, facilitating the production of powder for novel alloys. To accomplish this task, a forging machine known as a round swage will be employed. The created rods and wires will be used to produce powder using Ultrasonic Plasma Atomizer (UPA) and the wires will be used as is for Directed Energy Deposition (DED), an additive manufacturing technology. - Alloy Materials, Composite Materials, Manufacturing Engineering
- ETH Zurich (ETHZ), Master Thesis
| see attachment - Engineering and Technology
- Other specific labels
| You will develop a diagnostic test for testicular cancer. The focus of the project will be on creating the biochemical protocols for the test. The project is in collaboration with a prelaunch startup and a hospital (USZ). Therefore, it is ideal for motivated students who want to have a direct impact - Analytical Biochemistry, Biological and Medical Chemistry, Biomedical Engineering, Immunological and Bioassay Methods, Interdisciplinary Engineering, Materials Engineering, Sensor (Chemical and Bio-) Technology
- Bachelor Thesis, Internship, Lab Practice, Master Thesis, Semester Project, Summer School
| Following trauma or due to degeneration it can be necessary to replace one or more intervertebral discs with an implant, a so-called Total Disc Replacement (TDR). Such devices enable motion though surfaces articulating against each other. While this treatment is clinically successful, it is connected to considerable complication and reoperation rates. Therefore, we are optimizing the design of such an implant to address these issues.
While many different designs and design types have been proposed and are used in clinical practice, there is no consensus on what design or design type is the most beneficial. However, it is hypothesized, that replicating the situation that is present in healthy (asymptomatic) subjects as closely as possible, is optimal. Since the motions of the cervical spine are coupled (coupling of rotation and translation as well as multiple rotations) the optimal design of the articulating surfaces is not obvious. Therefore, this master’s thesis project aims at designing the implants articulating surfaces using parametric design optimization in LS-OPT based on finite element simulations. - Engineering and Technology
- Master Thesis
| Collaborating with a dynamic startup, you will work on designing, manufacturing, and testing microfluidic devices to quantify biomolecules associated with chronic inflammation, heart attacks, and tropical diseases. - Biology, Biomedical Engineering, Chemical Engineering, Chemistry, Electrical and Electronic Engineering, Mechanical and Industrial Engineering, Medical and Health Sciences, Physics
- Bachelor Thesis, Collaboration, Internship, Lab Practice, Master Thesis, Semester Project, Summer School
| Join our interdisciplinary student project to transform at-home diagnostics! Work on cutting-edge technology, boost sensitivity, engineer tests for seamless home use, and develop targeted disease detection. Help us to shape the future of healthcare. - Biochemistry and Cell Biology, Biomedical Engineering, Chemical Engineering, Chemistry, Electrical Engineering, Fluidization and Fluid Mechanics, Materials Engineering, Mechanical Engineering, Medical and Health Sciences, Nanotechnology, Physics
- Bachelor Thesis, ETH Zurich (ETHZ), Lab Practice, Master Thesis, Semester Project, Summer School
| Development and implementation of personalized algorithms for personalized prediction algorithms for the detection of sepsis in different population groups. - Engineering and Technology, Information, Computing and Communication Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| You will work on bringing medical tests to peoples home. You will further develop the hardware and software for a readout device that can perform a variety of diagnostic tests in a reliable but simple fashion. - Electrical and Electronic Engineering
- Bachelor Thesis, Internship, Lab Practice, Master Thesis, Semester Project, Summer School
| Fully Funded PhD Scholarship (Fall 2024/Spring 2025) at Nanyang Technological University, Singapore: AI for Drug Discovery and Multi-Modal Large Language Models in Medicine - Artificial Intelligence and Signal and Image Processing, Computational Biology and Bioinformatics, Knowledge Representation and Machine Learning
- PhD Placement
| Investigate how best to unite Koopmans and Perdew-Zunger self-interaction corrections for electronic structure calculations. - Theoretical and Computational Chemistry, Theoretical and Condensed Matter Physics
- Master Thesis, Semester Project
| Investigate how best to unite Koopmans and Hubbard corrections for electronic structure calculations. - Theoretical and Computational Chemistry, Theoretical and Condensed Matter Physics
- Master Thesis, Semester Project
| Materials made with fungal mycelium have recently gained popularity as novel material in various industries, among others to produce meat analogues. So far, we successfully devised a straightforward technique for producing foamed hydrogel scaffolds that facilitate the growth of fungal mycelium.
Our next objective involves refining the design of the 3D food matrix to serve as a host material, allowing us to guide the growth of mycelium and create an anisotropic material with fibrous texture similar to meat fibers. This will be achieved by employing a variety of triggers known to influence the direction of fungal mycelial growth. - Biomaterials, Biotechnology, Industrial Biotechnology and Food Sciences, Mycology, Other
- ETH Zurich (ETHZ), Master Thesis
| The stochastic diffusion equations ruling the dynamics of particles at the micro- and nano- scale are captured by energy-minimizing dynamics when observed macroscopically, i.e., at a population level. This framework encompasses, for instance, single cells perturbation responses to chemical, genetic or mechanical stimuli, gene expression and cell differentiation.
Recent advances in the theory of optimal transport and optimization in the Wasserstein space have created unprecedented opportunities to tackle these and other problems at scale. This active research area provides an excellent playground for exploring advanced mathematical concepts, deploying sophisticated learning and optimization algorithms, and solving open problems in biology, medicine, and various other fields.
The project can be both theoretical and applied, and can include topics on optimization, optimal transport, deep learning, and biology. The project can be tailored to the preferences and experiences of the student. - Artificial Intelligence and Signal and Image Processing, Biomaterials, Calculus of Variations and Control Theory, Optimisation, Physical Chemistry
- Master Thesis, Semester Project
| Wind turbines operate in the first few hundred metres above ground level. In this area, the wind is turbulent and gusty, generating unsteady aerodynamic forces that cause premature structural damage and reduced performance. A better understanding of unsteady turbulent flows over aerofoils would help to improve the estimation of the dynamic forces.
The MISTERY project involves an interdisciplinary team of researchers in aerodynamics, machine learning and electronics, from ETHZ and OST in Switzerland, and CentraleSupélec and Centrale Nantes in France. The team investigates the impact of turbulence on aerodynamic performance of wind turbine blades. To achieve this, we study the aerodynamics of a 1:1 scale of a section of a wind turbine blade in a large wind tunnel (4m x 5m with wind speeds up to 50m/s) in Nantes (figure 1). The blade is instrumented with over 300 pressure sensors and the flow is visualised with PIV. These measurements will create a large open database that will be used to develop models for flow control of for structural health monitoring.
- Aerodynamics, Mechanical Engineering
- Collaboration, ETH Zurich (ETHZ), Master Thesis
| We are seeking two passionate PhD candidates to join our research team dedicated to advancing electrochemical energy storage technologies using computational high-throughput and first-principles-based calculations. With a focus on Na-ion batteries, the project aims to tackle the pressing need for cost-effective and sustainable energy storage solutions in light of escalating global energy demands and climate concerns. Na-ion batteries offer a promising alternative to Li-ion batteries, leveraging the abundance of Na resources to drive innovation towards a cleaner and more sustainable energy future. Join us in this research endeavor aimed at shaping the next generation of energy storage technology and contributing to the transition towards a carbon-neutral society. - Theoretical and Condensed Matter Physics
- PhD Placement
| This project focuses on developing robust reinforcement learning controllers for agile drone navigation using adaptive curricula. Commonly, these controllers are trained with a static, pre-defined curriculum. The goal is to develop a dynamic, adaptive curriculum that evolves online based on the agents' performance to increase the robustness of the controllers. - Engineering and Technology
- Master Thesis, Semester Project
| qCella, a deep tech startup from ETH Zurich, specializes in innovative materials for resistive heating applications. Their paper-thin, flexible heating mats aim to replace traditional heating wire technology in various products like car seats, clothing, and shoes. They are looking for master's students in Materials Science or Chemistry to contribute to product and material development, tackle research challenges with practical applications, design and conduct experiments, and analyze results. - Chemistry, Engineering and Technology
- Master Thesis, Semester Project
| Robots capable of climbing vertical or near-vertical surfaces are currently the subject of extensive technologically innovative research. Climbing abilities in animals have inspired many capabilities in scansorial robots. This project aims to develop a bioinspired climbing robot. The role of the student is to integrate rotors and biomimetic materials to create a wheg-based terrestial robot, leveraging research from Soft Kinetic Group at Empa. For control of the climbing robot the student will leverage neuromorphic computing hardware and neural-network based algorithms developed at the Neuromorphic Computing Group at ZHAW. - Electrical Engineering, Intelligent Robotics, Mechanical Engineering
- Master Thesis
| Adherence to rehabilitation therapy is crucial for the recovery of hand functionality in stroke and traumatic brain injury (TBI) patients. However, sustaining patient motivation to train at home remains a challenge. This project aims to explore the impact of push notifications on adherence to physical therapy among stroke and TBI patients. By investigating the optimal frequency and content of notifications, the goal is to develop a notification/reminder system that fosters continuous engagement with the rehabilitation plan, ultimately promoting increased therapy and better functional outcomes for patients. - Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
- Internship, Master Thesis, Student Assistant / HiWi, Summer School
| Improving and characterizing hardware system to experimentally investigate the interactions of tachycardia and ration therapy. - Biomedical Engineering
- Semester Project
| Digital tools, such as dashboards, offer promising opportunities to streamline healthcare processes and enhance supportive care for patients with cancer. Dashboards can provide real-time assessment of patients' symptoms and supportive care needs gathered with smartphones, facilitating timely interventions and improving communication between nurses and patients. However, the development of such dashboards often overlooks the input of end-users, leading to potential usability issues and barriers to adoption. By adopting a co-design approach involving healthcare professionals, we aim to create a dashboard that meets the specific needs and preferences of nurses and healthcare professionals working in supportive care settings. - Behavioural and Cognitive Sciences, Engineering and Technology, Information, Computing and Communication Sciences, Medical and Health Sciences
- Master Thesis, Semester Project
| In this project, we will investigate how the productivity level of a global supply chain is impacted by local interaction structures and decision-making dynamics via mathematical analysis and simulation. We will extend existing models on the two-player supply chain game to multi-player supply chains with non-trivial connectivity structures modeled via graph theory, and investigate various player dynamics (e.g. consensus, best response, gradient descent) in combination with different interconnection structures(e.g. trees, small-world network, star) to study the stability of the overall supply chain. - Engineering and Technology, Operations Research, Optimisation, Systems Theory and Control
- Master Thesis
| The Mahmood Lab (faisal.ai) seeks applications for master's students interested in developing deep learning methods for pathology image analysis. We build large-scale foundation models to improve cancer diagnosis, prognosis, and biomarker discovery.
Selected students will work on histology representation learning, multi-modal fusion, survival models, among others. The developed methods will be applied to unique datasets collected at the Brigham and Women's Hospital and Mass Gen Hospital (some of the largest hospitals in the world). The detailed description of the projects can be discussed and adapted according to the interest and profiles of the selected students.
The Mahmood Lab is located in the Division of Computational Pathology at the Brigham and Women's Hospital (BWH), a Harvard Medical School teaching hospital. The lab is also affiliated with the Broad Institute of Harvard and MIT, Dana-Farber Cancer Institute, and Mass General Hospital.
- Engineering and Technology
- Internship, Master Thesis
| Gait patterns in multiple impairments present unique and complex patterns, which hinders the proper quantitative assessment of the walking ability for chronic ambulatory conditions when translated to daily living. In this project, we will focus on finding clusters of gait patterns through unsupervised learning from a large dataset of incomplete spinal cord injury individuals. The goal is to investigate hidden patterns in relation to the type of injuries and find their application for future diagnosis and rehabilitation treatment.
Your work will guide future rehabilitation methods in general clinical practice, through applied classification and dimensionality reduction in Biomechanics of walking.
Goal: Develop an unsupervised clustering pipeline for a large dataset of gait patterns from spinal cord injured individuals for class similarity evaluation
- Engineering and Technology, Expert Systems, Medical and Health Sciences, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing, Simulation and Modelling
- Bachelor Thesis, ETH Zurich (ETHZ), Internship, Master Thesis
| This project addresses the task of 6D pose estimation for general-purpose objects, particularly when dealing with occlusion. We aim to leverage recent deep learning methods and synthetic data generation schemes to enable robust object manipulation. - Intelligent Robotics
- Master Thesis, Semester Project
| In the past few years, there has been significant progress in developing 3D in vitro cancer models. These models serve as a link between 2D cell culture models and in vivo xenograft mouse models, which are considered the gold standard in cancer research and preclinical drug assessment. Various 3D methods have been explored, and among them, spheroids have shown great potential as an alternative to traditional methods. These are often used in a scaffold-free context lacking the physical environment and interactions present in vivo. Therefore, scaffold-based approaches have gained more attention due to their ability to mimic the tumor microenvironment (TME), which is a crucial factor in tumor behavior. By providing a scaffold that mimics the TME, we can gain a better understanding of the influence of TME on tumor spheroid behavior and drug response.
This project aims to establish a 3D scaffold-based spheroid tumor model that mimics the behavior of human squamous cell carcinoma (SCC) at varying degrees of aggressiveness. The model will be designed to replicate the tumor and its microenvironment using a molecular and biophysical defined system. The ultimate objective is to create optimized models that have a physiological similarity to human SCC, which can enhance overall knowledge and increase the predictive value, enabling preclinical-to-clinical translation. By doing this, we hope to provide a 3D in vitro model that can reduce and potentially replace the use of animal models as whenever possible. - Biology, Biomedical Engineering, Medical and Health Sciences
- Internship, Master Thesis
| We extend the lamar.ethz.ch benchmark to develop accurate SLAM methods that can co-register drones, legged robots, wheeled robots, smartphones, and mixed reality headsets based on visual SLAM. - Computer Vision, Intelligent Robotics
- Bachelor Thesis, Master Thesis, Semester Project
| To limit climate change and global warming to below 2°C; substantial emission reductions will be needed
to reach net-zero anthropogenic CO2 emissions by 2050 at the latest. Carbon capture and storage (CCS)
will be a key instrument for mitigating hard-to-abate point-source emissions. Another environmental
challenge of this century is the large amounts of waste materials produced by industry, which are often
landfilled or used for low-value applications and have a detrimental environmental impact due to the
leaching of heavy metals. For industrial waste management and small-scale CCS, a solution is offered
by ex-situ mineral carbonation: an accelerated form of natural rock weathering, i.e., the formation of
stable carbonates by the reaction of CO2 with naturally occurring oxides or silicates of magnesium, iron,
and calcium. Many industrial residues have been studied for mineralization, including iron and steel-making
slags, fuel combustion ashes, mine tailings, alkaline paper mill wastes, cement kiln dusts, and recycled
concrete aggregates. Mineralization of these industrial residues has the potential to permanently
store up to 360 Mt of CO2 per year in the form of carbonated minerals and generates value through the
use of the resulting products. One mineralisation pathway involves using a solvent, aqueous ammonium salts,
to accelerate the process. However, for economical and environmental reasons, the solvent must be recycled
multiple times. This aspect is often forgotten or not investigated in the literature. A novel experimental setup has
been developed to perform multiple cycle experiments, and this setup will be used to assess the process
stability and performance over multiple recycling cycles of the solvent. - Environmental Technologies, Mechanical Engineering, Membrane and Separation Technologies
- ETH Zurich (ETHZ), Master Thesis
| What optimizations are necessary to make reflective PPG sensors reliably work on tissue with limited blood perfusion?
Note: Candidates should have experience in hardware design (analog circuits, embedded systems, and basic signal processing). - Electrical and Electronic Engineering, Information, Computing and Communication Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| The project aims to develop an open-source tool using satellite images and machine learning to optimize environmental DNA sampling in rivers. The tool will help researchers identify diverse ecological conditions, design effective sampling campaigns, and enhance biodiversity monitoring. The innovative approach promises to revolutionize eDNA sampling and inform conservation strategies. - Earth Sciences, Engineering and Technology
- Bachelor Thesis, Master Thesis, Semester Project
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