Multi-Contact Motion Planning
The goal of this project is to develop a motion-planning algorithm for our quadruped ANYmal. Our robot should be able to use multiple contact points on the feet, knees, and belly for locomotion. To find effective motions plans in such scenarios,we want to combine our planner with a physics simulator
Student Internship (4 - 6 months) at KOF Swiss Economic Institute, ETH Zurich
https://apply.refline.ch/845721/7064/pub/1/index.html
Development of a computational model of the human pelvic plexus nerves to design a neural interface for bioelectronic device treating erectile dysfunction
Nearly 30% of erectile dysfunction patients do not respond to drug treatments and to achieve erection, these patients mostly rely on intra-penile injections. We propose the development of a subcutaneously implantable bidirectional neurostimulation system to restore erectile functions.
Is irrigation leading to glacier growth in the Karakoram?
A number of observations acquired in recent decades have pointed at an anomalous behaviour of glaciers in the western part of High Mountain Asia. The goal of this thesis is to test a recent hypotesis for the deeper causes of this so-called "Karakoram anomaly".
Super paramagnetic manipulation of nanowires for engineered strain sensors used in biomedical implants.
Stretchable Electronics, currently being used in biomedical engineering makes use of elastomers and different conductive fillers. This combination enables the creation of strain sensors which can be implanted inside of the human body. Manipulation of the fillers will allow novel sensors.
In-vivo Quantification of Bone Remodeling in Fracture Healing
Registered time-lapse in-vivo images of fractures of the radius and scaphoid can be used to quantify structural changes during the fracture healing process. By combining this data with clinical imaging and blood-based biomarkers, we hope to identify the specific metrics relevant to fracture healing.
Quantification of Trabecular Bone Morphology using Correspondence-based Shape Modeling Techniques
Existing methods to quantify trabecular bone structure utilize unnecessary classifications and, as a result, ignore the shape-based morphology of the microstructure. In contrast, tThis project combines 3D morphological quantification with correspondence-based shape analysis to elucidate the trabecul
Effect of Humidity and Elevated Temperature on the ageing behaviour of Fibre Reinforced Polymers
Humidity and elevated temperature can reduce the performance of fibre reinforced polymers used in the mechanical and civil engineering sector. In the framework of a student's thesis, these effects shall be investigated to generate a material model for accelerated ageing.
Model for the Coefficient of Friction of Plastic Materials under hydrostatic Conditions above Yield Stress
In the framework of a student's thesis, a friction model shall be generated for plastic materials above their yield stress under hydrostatic conditions for high performance applications. The model is generated on the basis of experimental work.
Acoustophoretic particle manipulation for cell secretome analysis
High throughput analysis of cell secretome using mass spectrometry is a major goal in microbiology. In this project, steps towards reaching this goal using acoustophoretic devices are investigated.
Improving the resolution of metal 3D printing by means of acoustophoresis
Metal 3D-printing is limited in minimal feature size. In this project, acoustofluidic is utilized to make a huge step in improving the minimal feature size of laser powder deposition 3D printing.
Growth cycle acceleration in bean breeding
This project aims at studying different treatment which induce rapid flowering and development of a single pod and compare different treatments in greenhouse trials.
Mapping of biomolecule excretions next to cells using AFM integrated nanopores
Proteins, ions, and other excretions secreted from single cells are the key signaling factors to determine the interaction of cells with the extracellular matrix and the neighboring cells. We integrated a nanopore into an atomic force microscope (AFM) for sensing secreted molecules.
DNA Aptamer-Based Electronic/Plasmonic Biosensors
Integrating DNA-based biorecognition elements termed aptamers that recognize chemical targets with high specificity and selectivity into next-generation electronic/plasmonic biosensors.
Control and design optimization for a special type multi-robot system
We are developing a special type multi-robot system which has the potential to be scaled to large scale robotic systems with nice properties such as high mobility, re-configurability. In this project, we aim to work on the control and task-based design optimization of these multi-robot systems.
Simulation, design optimization and control of knee type jointed mechanisms
Human bodies are made up of bones (equivalent of links in a traditional robot). The relative movement of bones is often constrained along different complementary surfaces which serves as joints.Work on this project involves simulation, design optimization and control of knee type jointed mechanisms.
Bio-inspired quadruped design & control with legs having parallel actuation
Design, morphology and the actuation scheme for the legs greatly influence the control and capability of the quadruped robots for agile and dynamic motion. We aim to build a general purpose quadruped base platform with direct drive actuation where we test novel bio-inspired quadruped robot designs.
Deep Learning Models for the Smartphone
This thesis centers around the development of a Deep Learning model and its deployment for the smartphone.
Asthma Self-Monitoring Technologies
This thesis investigates the state-of-the-art of self-monitoring technologies for asthma.
Deep/machine Learning for Speaker Verification
This thesis centers around the development of a Machine/Deep Learning model for smartphone speaker verification.
Improved machining control with machine learning
The combination of model predictive control and gaussian processes will be experimentally evaluated to demonstrate better precision in following a contour path.
ETHypertrophy
You will use workout videos from a human study to annotate concentric and eccentric muscle contractions and total time under tension. Therefore, you can use existing computer vision and/or machine learning tools, e.g. OpenCV, Keras, PyTorch, Tensorflow.
Multi-Echo Proton Spectroscopic Imaging to Map Cardiac Metabolite Levels
While MRI provides anatomical and functional information, magnetic resonance spectroscopy (MRS) allows to obtain biochemical information about substrate utilization and energy status of the heart. Multi-echo spectroscopic imaging can be used to map cardiac triglyceride and creatine levels.
Mechano-regulation of cellular interplay between mesenchymal, hematopoietic and vascular systems in the bone marrow microenvironment
Bone marrow tissues are essential for sustained production of blood cellular components, the continuous remodeling of bone and efficient immune responses. This project aims to investigate the mechano-regulation of mesenchymal, hematopoietic and vascular systems in the bone marrow microenvironment.
Printed transistors based on two dimensional materials
In recent years, despite great progress in printing of transistors, their low temperature fabrication has remained a challenge. Among the numerous approaches for tackling this problem, particle-based transistors are one of the most promising candidates.
Conducting Rehabilitation Studies with ARMin V
Recrute and supervise a designed therapist-orientated study to further increase usability of the robotic rehabilitation device ARMin V. The study will contain ca. 15 physiotherapists and the measurements will be taking place at the Balgrist Campus and Clinic Lengg.
Crystallization fouling and rational design of intrinsically scale-phobic surfaces
Crystallization fouling due to mineral scale formation on industrial devices is associated with equipment failures and increased energy consumption. We will attempt to understand the fundamentals of scale nucleation on nanoengineered substrates with advanced experimental methods.
Master Thesis: Data Science Thesis (Predicting Nutrition from Shopping Data, e.g. Cumulus, Supercard)
Our research project “Receipt2Nutrition” is the world’s first large-scale voluntary panel that contributes digital receipt data from loyalty cards anonymously to assess the data’s potential to predict dietary behaviour automatically.
Master Thesis
AI FOR PERSONAL AND EMOTIVE WALKING STYLES FOR A PHYSICAL ROBOT BY EMULATING A HUMAN
Better Living (ASPIRE League Summer School, Tokyo Tech)
8 - 12 July, 2019 - Tokyo Tech. The ASPIRE Forum brings together vice presidents from its member universities. The Student Workshop will include speakers from the fields of architecture, medical engineering, and robotics. Researchers from ASPIRE universities will discuss innovation and technologies.
Research Assistant and PhD Student – Data Strategy for the IoT and AI
At the heart of the Internet of Things (IoT) and artificial intelligence (AI) is data. Join us and conduct an exciting PhD at the University St. Gallen on a timely issue with significant business impact!
Research Assistant and PhD Student – Internet of Things Platform Economy
Are you eager to investigate how the convergence of the Internet of Things (IoT) and platform business models will disrupt existing business domains? Join us and conduct an exciting PhD at the University St. Gallen on a timely issue with significant business impact!
Castle Maker: Simultaneous and collaborative robotic assembly
Assembly is one of the fundamental tasks that robots were designed to do. The standard approach that has been used since the dawn of robotics is to break the assembly procedure into smaller tasks that can be run sequentially. This approach benefits from easy programming and computation. However, the
Deep learning Hololens project in collaboration with Microsoft
Microsoft has proposed two projects related to object pose estimation and interaction with robots. More details in the attached document.
Master Thesis: Image2Product: Computer Vision Thesis
You will use computer vision and machine learning to predict for a product image (i.e. 2D images), its corresponding product category (e.g. italian dish) and confidence for your respective prediction. Therefore, you can use existing computer vision tools, e.g. Keras, PyTorch, Tensorflow.
Development of a MRI compatible DC-DC converter
Develop an MRI compatible DC-DC power converter. Electronics inside the MRI scanner are affected by the very strong background field, strong switching gradients and kW of RF power. The envisioned DC-DC converter should be immune to this harsh electromagnetic environment and shall not disturb the MRI
Master Thesis / 2nd Semester Project: Image-based Indoor Navigation
Many people rely on mobile navigation applications when they are visiting a new area. Such applications, however, fail to deliver the same service for indoor environments. This is mostly due to the attenuation of GPS signals inside buildings. We aim to replace GPS with image-based localization.
Reconstructing Jöri Glacier history using lake sediments
The Jöri Lakes are the first sediment sink downstream the Jöri Glacier and, therefore, ideally situated to reconstruct the glacial history of the area. As the lakes are lying outside the Little Ice Age extent, they have the potential to contain a long climatic record that covers the entire Holocene
Full-frame Readout Circuit for High-density Microelectrode Arrays
Neural cells can be cultured on top of microelectrode arrays (MEAs), what allows stimulating neurons and monitoring their electrical activity. We aim to design a CMOS MEA with tens of thousands of electrodes recorded in parallel with low noise and high spatio-temporal resolution.
Post-Doc in Wearable and Embedded Systems (IoT)
Our interdisciplinary team seeks a post-doctoral fellow for strengthening our efforts in developing wearable biomedical devices.
Project in mobile health systems
Develop and test personalized and efficient methods, devices and systems that can be used by anyone at the point-of-care to increase our ability to diagnose, monitor, prevent and treat major global health issues.
Real-Time Epileptic Seizure Detection by Deep Learning on EEG Data
In this master thesis you will develop machine learning algorithms to automatically detect and predict epileptic seizures in real-time.
Design of a tendon-based robotic device for locomotion training
The proposed project aims at designing a novel tendon-based parallel robotic device for locomotion training that can guide or resist the patients’ movements during training.
Fingertip 6-axis force sensor for robotic grasping and manipulation
Grasping and Manipulation of unknown objects in robotics requires forces to be detected in a precise and robust way. Goal of this project is to design state of the art solution for contact detection in such applications.
Student/in für 3-monatiges Forschungspraktikum am Exercise Physiology Lab gesucht
Der/Die Student/in wird im Rahmen des Praktikums bei einem laufenden Forschungsprojekt mit gut trainierten Athleten zum Thema “Decremental exercise protocol as a training stimulus: more or less efficient than traditional high-intensity interval training?” mitarbeiten.
A Perfusion System for Vascularized In-Vitro Skin Models
This interdisciplinary project focuses on the development of a perfusion system for vascularized in-vitro skin models.
An Automated System for Skin Model Production
This interdisciplinary project focuses on the development of an automated system for skin model production.
Ethics in Research (Politecnico di Milano Summer School)
2 - 6 September, 2019. The School is aimed to make participants a) fully aware on how scientific and technological research have ethical implications; b) to identify ethical issues in specific research cases and procedures; c) to understand how the adherence to ethics standards.
Mobility Concepts 2030 (RWTH Aachen Summer School)
16 - 20 September, 2019 - Global megatrends as urbanization, digitization and environmental change lead to disruption both in society and in mobility. In this year’s Summer School we will figure out how the demand for urban mobility is going to change.
Ethics of New Biotechnologies (TU Delft Summer School)
19 - 25 October, 2019 - New biotechnologies create new opportunities in many fields such as medicine, agriculture and industrial biotechnology. What are risks and ethical issues that arise from these developments? What can be done to prevent undesired effects of these advances and profit from them?
Infrastructures of Science (ETH Zurich / RWTH Aachen Summer School)
15 - 19 July, 2019 - The interdisciplinary Summer School investigates the history and philosophy of digital infrastructures. How do infrastructures affect science? And how do sciences configure their technologies?
First WACQT Summer School on Quantum Technology (Chalmers University Summer School)
21 - 26 August, 2019 - The PhD School of the Wallenberg Centre of Quantum Technology (WACQT) organises its first summer school. Six internationally renowned speakers will lecture on different aspects of Quantum Technology.
Multi-Sensor Continuous-Time SLAM for UAVs
The goal of this project is a continuous-time incremental trajectory estimation and mapping formulation for multiple sensors on-board of fixed-wing or rotary-wing UAVs
Development of a microspine gripper for ANYmal
The goal of this project is to investigate the feasibility of a microspine based gripper. The basic gripping principle will be implemented in a gripper, foot for ANYmal or custom climbing robot.
Design and development of prehensile feet for ANYmal
The goal of this project is to prototype a prehensile foot that will be used on ANYmal. The final goal is to allow ANYmal to manipulate objects using the same actuation usually dedicated to locomotion.
Active learning for anomaly detection in environmental data
In situ sensors for environmental monitoring are increasingly used in both engineered and natural systems. Given the growing quantity of data, dedicated tools are needed to ensure high data quality. The main goal of this Master thesis project is to evaluate whether active learning can provide an ade
Robotic clay modeling
Robots can perform many tasks today, but can they model clay? In contrast to previous robotic manipulation technique, which mostly deal with hard materials, in this project we will explore robotic manipulation of materials that \emph{flow}: clay, plaster, stucco, etc. Our ultimate goal is to control a robot that can perform sculpting tasks or pottery like the ones in the picture above.
Real-time Dynamic Scene Reconstruction
Autonomous interaction in real-world environments requires robots to build an internal representation of the observed scene and the objects therein. The goal of this project is to integrate efficient tracking of multiple (potentially) moving objects into an existing scene reconstruction framework.
Patterning brain organoids
Using microfluidics to guide brain organoid development.
Fully Biocompatible conductive fibers for one-dimensional implantable biomechanical sensing system
Healthcare is one of most important issues for modern societies as global age demographics shift, particularly as the proportion of people over 65 rises to near 17% by 2050. In the last couple of years, stretchable electronics became more and more popular in medical devices. While the existing 2D stretchable sensor systems are not easily applicable to the various curved surfaces in vivo, the fiber-shaped electronic device is suturable which dramatically improves its suitability for various (bio)medical problems. The aim of this project is to develop a fully biocompatible and highly conductive fiber, which can be used for wireless and implantable biomechanical sensing systems in biomedical applications. The developed implantable systems will be applied to continuously monitor various bio-mechanical signals such as strains on ligaments, blood pressure, and flow in medical area and sportbiomechanics.
Line Clustering and Description for Place Recognition
The goal of this project is to develop a place recognition pipeline using RGB-D or stereo cameras, by extracting line clusters.
Fabrication and testing of composite sandwich structures with load-tailored lattice cores
Motivated by the potential to increase the performance of composite lattice core (CLC) sandwich structures through load-tailored core topologies, the goal of this thesis is to fabricate and experimentally characterize optimized CLC sandwich structures for multi-axial load cases.
Custom FDM nozzle for 3D printing in a magnetic field
Additive manufacturing has shown great promise for enhanced prototyping of magnets. We will use Fused Deposition Modeling (FDM) to print magnets with predefined magnetic orientations, by incorporating an octopol magnet into a custom 3D printer.
DEVELOPMENT OF A 3D SPATIAL COMPOUNDING (STITCHING) ALGORITHM FOR HANDHELD OPTOACOUSTIC TOMOGRAPHY OF LARGE VOLUMES IN HUMANS
There is a growing need for non-invasive clinical imaging modalities covering large volumes of the human body accurately and rapidly for disease diagnosis and treatment monitoring. Optoacoustic tomography (OAT) images human tissue, particularly important vasculature structures, in a non-invasive, real-time and volumetric (3D) manner [1].
Master/Bachelor Thesis: Early life stress & functional abdominal pain disorders - role of the gut microbiota
Childhood trauma is a major risk factor for mental disorders and gastrointestinal diseases. This project proposes to examine the effects of early life stress on the composition/function of the gut microbiota, and the relationship between microbial metabolites and functional abdominal pain disorders.
Mechatronic Design of a Wheel Electrode Sensor for Robotic Inspection
The goal of this project is to design, build, and integrate a light-weight wheeled electrochemical sensor on a flying robot, and test its ability to evaluate the state of concrete infrastructure
Learning to paint with an autonomous spray painting UAV
PaintCopter [1] is an autonomous UAV capable of spray painting on complex 3D surfaces. Currently the system is capable of painting basic elements such as lines, gradients and area-fill with a color of choice (see Fig.b). The motivation for this project is to find a way to decompose a provided textur
Evaluation of an Industrial Exoskeleton
Workers in industries such as construction and logistics execute physically demanding jobs every day. Over time, these tasks put workers at a high risk of injury. To mitigate these risks, we are developing wearable assistive exoskeletons that support and protect workers.
Development of a mechanical exoskeleton for construction workers.
Workers in industries such as construction are executing physically demanding jobs every day. Over time, these tasks put workers at a high risk of injury. To mitigate these risks, we are developing wearable assistive exoskeletons that support and protect workers.
Master/Bachelor Thesis: Antimicrobial resistance gene transfer in complex microbial communities
We aim to investigate and further characterize the antimicrobial gene transfer between chicken and human microbiota components using in vitro continuous modelling systems and in vivo trials. The project has two main areas of research, for which highly motivated and capable students are needed.
Transfer learning techniques for application of deep neural networks in 3D fluorescent microscopy images
Application of deep neural networks to 3D fluorescent microscopy datasets poses some specific challenges such as differences in their input distributions or scarce labeled data. We aim to address them by investigating transfer learning techniques such as domain adaptation of multi-task learning.
Development of a sensor-based workload assessment for an industrial exoskeleton.
Workers in industries such as construction and logistics are executing physically demanding jobs every day. Over time, these tasks put workers at a high risk of injury. To assess this risk, you will develop a wearable, sensor-based workload assessment tool.
Estrogens in husbandry animals and their potential environmental effects
The Master’s thesis aims at focusing on the analytical chemistry of estrogens, the output of estrogens from the endocrine organs of livestock and/or the environmental fate and behaviour of estrogens.
Clean room fabrication process optimization for small structures
Special acoustofluidic devices demand for small strucutres. In this project the used clean room processes are optimized to achieve an improvement in minimal feature size.
Deep learning enhanced trinocular depth optimization for obstacle avoidance onboard of a fixed-wing UAV
The goal of this project is to combine classical geometric with deep learning based depth estimation for binocular and trinocular camera setups
Automated 3D registration between optoacoustic tomography and magnetic resonance imaging
The objective of this study is to further develop an algorithm for 3D image registration between MRI and optoacoustic imaging, to streamline and automatize the registration processes for imaging in animal models.
Smoking Lung Prototype for Cell Culture
Interdisciplinary project for the development of an automated smoking machine for biological cell tests
Master thesis: Wound healing during aging in C. elegans
Wound healing might decline with aging and is impaired in diabetic patients. We aim to establish C. elegans as an in-vivo wound healing model.
Master thesis: How 2 neurones control longevity through dietary restriction
Previously, 2 neurons have been shown to be required for organismal longevity under dietary restriction via the transcription factor SKN-1 in C. elegans doi:10.1038/nature05904. However, the mechanism how these neurons communicate with the peripheral tissue to improve health during aging is unknown
Numerical Investigations of Stent Folding and Deployment for Fetal Membrane Repair
The aim is to develop an efficient finite element (FE) based numerical model of a Nitinol stent which will be used for fetal membrane repair after surgery. More info in the PDF file.
Research assistant wanted to work on the neurofeedback study
We are looking for an interested student/research assistant to work on a neurofeedback project in the Neural Control of Movement La (NCM Lab). In the experiments, we collect a larger amount of data on motor imaginary using transcranial magnetic stimulation (TMS) and electroencephalography (EEG) toge
Control Algorithm Development for a Series Elastic Actuated Exoskeleton
Robot-assisted therapy of stroke patients is a promising approach to improve the therapy outcome and to tackle the challenges of demographic ageing. Using a novel 6 DoF exoskeleton prototype, we want to investigate/develop new control strategies for the next generation of these robots.
Mapping bone cells in vivo within their 3D environment
Bone remodeling is a dynamic process that requires coordinated interactions between different bone cell types. In order to further our understanding in bone metabolism, these cellular networks and their micro-environments must be investigated locally in a site specific manner.
Machine Learning for Advanced Magnetic Resonance Perfusion Quantification
Magnetic Resonance (MR) perfusion imaging is a clinically established technique to detect coronary artery disease by visual assessment. However, quantitative evaluation of myocardial blood flow is desirable as it promotes objective diagnosis. Here, ML may help to avoid expensive fitting procedures.
Redesign of a Robotic Articulated Endoscope with Series Elastic Actuation
In this project you will redesign and extend an existing articulated endoscope. The focus lies on integrating series elastic elements in the actuation and implementing stable force control.
Autologous biomaterial for bone repair
The regeneration of bone defects still constitutes a major clinical challenge. New approaches use additive manufacturing technology (3D printing) and autologous cells. Here we propose to develop an autologous ink, based on platelet-rich-plasma for the biofabrication of customized bone implants.
Werde Teil eines Bildungsprojekts für nachhaltige Entwicklung!
Werde Teil von “WeltFAIRsteher”, dem Bildungsprojekt für nachhaltige Entwicklung, das deine Ideen in den Schulalltag bringt.
Collaborative Virtual/Mixed Reality using Hololens/ARKit/ARCore
The goal is to develop an interface to easily extract mapping data from Hololens to be used in the open source mapping framework maplab. The project will then look into novel techniques to improve pose-estimation, 3D reconstruction or co-localization between devices.
Blockchain: Numerous Topics
Our group does a lot of research on blockchain technology, both in the CS/ML data analytics part as well as the business/investment part. Drop me a quick message to see what’s on at the moment.
Blockchain ICOs (Initial Coin Offerings): Can we predict returns with social media?
Use the existing deep knowledge in our group to investigate ICOs: Can we predict ICO returns with social media data?
Data-driven inverse polynomial stochastic optimal control with applications to autonomous quadcopter flight
This project considers discrete-time Markov decision process and addresses the inverse problem of inferring a cost function from observed optimal behavior. The proposed method will avoid solving repeatedly the forward problem and its relevance will be illustrated on the quadcopter flight problem.
Adding Illusions to Surgical Training Simulators
Pilots have been using simulators for years in order to get practical experience in a safe and repeatable way. Doctors have begun using simulators instead of practicing on patients. You will use Human Factors, System Design, and Statistics to test and verify the effect of haptic illusions in sims.
Design automation of flow structures for additive manufacturing
Additive manufacturing allows to fabricate structures with complex geometries. This project focuses on the automated design generation of mixers and extruders. Based on an existing framework the goal is to implement and test further features.
The influence of curing parameters on the cured shape of thermally stressed ultra-thin prepreg material
This work shall investigate the effect of curing parameters on the cured shape of ultra-thin CFRP laminates.
Artifact Detection in Challenging Conditions
Detecting artifacts in challenging environments using a multimodal sensor setup. The goal is to design robust artifact detection deep neural networks that can operate in challenging conditions with respect to illumination and other noise sources such as dust and smoke.
Electrospun, double-layered scaffolds for 3D Skin Tissue Engineered
This project is part of the Zurich Hochschulmedizin Flagship Project “Skintegrity”, with a collaboration between ETHZ and USZ. The student, who ideally has experience in electrospinning and cell culture, will participate in the development of double-layered nanonfibrous scaffolds for 3D skin tissue engineering.
Why do Countries differ in their Soil Erosion Rates?
Soil Erosion is one of the large challenges that contemporary agriculture faces. In this master thesis, several datasets on country level soil erosion will be explored using regression analysis. Potential explanations for differences in soil erosion include environmental, political, social, and econ
Personality in Agricultural and Environmental Economics
There is a growing recognition that in addition to standard preferences, incentives, and constraints, there are also other explanations for farmer and consumer behaviors. One such explanation is personality. In this Master Thesis, the literature is reviewed and discussed.
Developing of Adaptable Compliant Mechanism with Additive Manufacturing
Additive Manufacturing, Prostheses, Compliant Mechanism, Biomechanical Engineering
How do cells sense mechanical loading?
This project will investigate how cells sense mechanical loading and how sensing can be altered with ageing or tissue degeneration. The project is interdisciplinary and includes engineering and biology aspects. The thematic emphasis can be adjusted to the student's background and interests.

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