What can Smartphone Apps learn about their Users, using Big Data and Machine Learning?
Our vision is to create smartphone apps that know their users well and can therefore support them with their personal development goals or dealing with chronic illness. Are you interested in exploring how well exactly your smartphone could get to know you?
Magnetic Resonance Fingerprinting
MR Fingerprinting (MRF) is a new approach of MRI, where unique NMR tissue signatures (“MR Fingerprints”) are collected to provide simultaneous, quantitative maps of most essential MRI markers used routinely in clinical practice.
Medical Image Segmentation using Domain Adaptation
The topic of this project is medical image segmentation using deep neural networks. More specifically, the goal is to investigate domain adaptation techniques so segmentation algorithms can be applied to new datasets that are different from the labelled training datasets.
Development of a 3D finite element model of a cell to determine cell stiffness in tensile stress experiment.
In our group we experimentally analyze the resistance of cells to substrate deformations. In the present project we plan to generate a finite element model of the cell response to biaxial stretching and use it to estimate cell stiffness from the experimental outcomes.
Patient Specific Bone Density optimized Pedicle Screw Placement
Development of an algorithm to optimize positioning for pedicle screw placement, including a subsequent experimental study.
3D-printed soft-robotics
A 3D printer at the nanoscale (Nanoscribe) will be used to fabricate soft-robots employing a wide range of stimuli-responsive polymers. The applications span from bio devices to actuators.
Turbulence modeling usind the ODT model
The One-Dimensional Turbulence (ODT) model is an original and interesting simulation method. It allows affordable computations of complex quantities such as turbulent kinetic energy budget terms and multi-point statistics at the cost of an applicability limited to certain categories of flows.
Rarefied Gas Dynamics Simulation
Gas flows where the mean free path is significant compared to gradient lengths may not be simulated by conventional CFD. The stochastic Fokker-Planck-DSMC algorithm is a successful alternative, for with a high performance implementation is being developed.
Medical image registration of forearm joints for preoperative analysis of 3D planning of orthopedic interventions
One of the current challenges in the 3D planning of orthopedic surgeries is the automatic registration of the reconstruction target to the joint of the affected bone. The student project focus on the development of a registration algorithm to ensure a correct alignment reconstruction target - bone.
Method to generate input data for high-fidelity noise emission model of an airliner
Based on airframe and propulsion models, the required input parameters for a high-fidelity noise emission model can be computed. Using flight trajectories obtained from secondary radar data and take-off mass for departures as input, the flight states and the thrust setting shall be estimated.
Generalized CTRW for Transport in Heterogeneous Porous Media
The generalized CTRW method can be used to simulate streamlines in heterogeneous porous media. Validation studies showed that the transversal spreading deviates from the expected behavior. An addition to the model is currently under development to overcome these flaws.
Optical Flow-Based Obstacle Avoidance
The optical flow of an image sequence holds some information about approaching obstacles. This could possibly be used to avoid obstacle during quadrotor flight maneuvers in a reactive fashion, especially in fast maneuvers.
Automatic Layout Generation of Visual Ads on Social Media Platforms
A method for automatic creation of visual ads based on raw input provided by a user within the constraints defined by a platform and while considering fundamental principles of visual attention, saliency, attention, rules of composition and keywording.
Realization of an High-Speed Flight Experimental Setup based on a Tether
Aerodynamic effects on a quadrotor become more prominent with higher velocities. This project aims at setting up high-speed experiments for quadrotors using a tether and collect data to model and control the aerodynamic effects precisely.
Internship / Master Thesis
Participation in a project aiming at elucidating the effects of chronic sleep restriction in healthy humans.
Investigating the influence of multiple force patches acting on the heart's epicardium
If the heart can't pump a sufficient amount of blood to the body's circulation, a support device is required. In order to obtain an optimal design, knowledge about how to deploy force on the epicardium is important. Thus, this shall be investigated numerically using IFD's human heart framework.
Executive Director
The Swiss Competence Center 3Rs (3RCC) promotes Refinement, Reduction and Replacement of animal experimentation in Switzerland. It is a joint initiative of 9 Swiss Higher Education Institutions, Interpharma, the Swiss Animal Protection society and the Federal Food Safety and Veterinary Office.
Implementation of a Model Predictive Control Algorithm with Extension to Obstacle Avoidance
Model Predictive Control allows to execute fast and agile maneuvers with quadrotors in a robust and safe way. It is extremely versatile and covers many control scenarios and goals, and could even integrate planning like obstacle avoidance. This project aims at implementing MPC for quadrotors.
Sensitivity analysis in capillary networks
The microcirculation consists of a network of highly interconnected blood vessels that ensures oxygen delivery to the brain tissue. A constant rate of cerebral blood flow (CBF) is essential to achieve sufficient energy supply of the brain.
Development of a new RANS/TLES hybrid turbulence model
Despite the advances in computational performance LES is still expensive and RANS therefore preferred in the industry. However, RANS provides only averaged results. The idea of hybrid solvers is to combine the advantages of both. The coupling is a major difficulty since LES is spatially filtered.
3D voxel data analysis of silver nanowire meshes in stretchable electronics
3D X-ray reconstructed tomographies of silver nanowires embedded in PolyDiMethylSiloxane was collected on the TOMCAT line at the Swiss Light Source at 65^3 nm^3 voxel size. The position and orientation of wires need to be extracted from data through various image analysis approaches.
Development of biological sensors for applications in protein engineering
Development and application of biosensors for in vivo high-throughput screenings
Novel solutions to insure against droughts - The use of the Standardised Precipitation-Evapotranspiration Index (SPEI) and phenological phases in designing weather index-based insurance
This study should test whether an improved representation of agricultural droughts using the Standardised Precipitation-Evapotranspiration (SPEI) Index and the inclusion of phenological observations can improve insurance solutions.The thesis makes use of rich farm-level yield and weather data
PhD opportunities in Computer Science, Computational Science, Computational Biology and Bioinformatics
Seeking top-notch candidates for fully-funded PhD positions in Computational Biology, Systems Biology, Applied Mathematics, and related fields at the Max Planck Institute in Dresden, Germany.
Bluetooth Embedded System for Parkinson Study (C++ Firmware Coding)
C++ Coding for a low power SoC microcontroller wearable device that helps people with Parkinson's Disease to move. Duration approx. 6 months for Master Thesis or approx. 3 month for Bachelor Thesis.
Cardiac Magnetic Resonance Image Reconstruction Using Machine Learning
Dynamic Magnetic Resonance (MR) imaging offers exquisite views of cardiac anatomy and function. The objective of this project is to develop and implement methods that allow learning a data model from large sets of training data to be used in nonlinear data recovery from highly undersampled MR data.
C++ Embedded System Programming for Parkinson Study
Coding for a low power SoC microcontroller wearable device that helps people with Parkinson's Disease to move. Duration approx. 2-3 months.
How can propionibacterium acnes cause back pain?
The aim of this project is to identify molecular mechanisms that may be explain pain development upon bacterial infection of the intervertebral disc, specifically by propionibacterium acnes.
Hand-Eye Calibration Toolbox
Hand-Eye calibration is a paramount pre-processing stage of many robotic and augmented reality applications. The goal of this project is to develop a user-friendly hand-eye calibration toolbox integrated with our robotic system.
Integrated Multi-Camera Calibration Toolbox
Camera calibration is a paramount pre-processing stage of many robotic vision applications such as 3D reconstruction, obstacle avoidance and ego-motion estimation. The goal of this project is to develop a user-friendly, single and multi-camera calibration toolbox adapted to our robotic system.
Lagrangian Numerical Scheme for Advective/Diffusive Transport
For the simulation of transport in fluid flows, Lagrangian numerical schemes have the advantage that they do not suffer from numerical diffusion. In this project, a new Lagrangian scheme shall be developed that is representing the advective/diffusive motion with a stochastic process.
Robust Control for Quadrotors
In this project, we aim at designing a robust quadrotor controller which can reject external disturbances and enhance overall quadrotor control accuracy.
Fast Minimum Time Trajectory Generation for Quadrotors
In this project, we aim at designing quadrotor trajectories to fly through the predefined waypoints in the time optimal manner.
Collision Free Trajectory Generation
In this project, we aim at designing a collision free trajectory generation method using visual information provided by an onboard monocular or stereo camera.
Student assistant for the development and maintenance of agent-based traffic simulations (28 CHF/h)
At the Institute for Transport Planning and Systems at ETH Zurich we're currently searching for a motivated student to support the development and maintenance of our agent-based transport simulation platform MATSim.
Mathematical modeling of a novel in vitro system for measuring permeation of hydrophobic and volatile chemical across a fish intestinal epithelial cell monolayer
Permeation of organic chemicals from the aquatic environment across cellular barriers is a critical step for accumulation in organisms, such as fish. To better understand the underlying processes, we aim to study the role of the fish intestine as barrier for hydrophobic and volatile chemicals. There
Design and Characterization of Smart Nanostructured Coatings for Medical Applications
This highly interdisciplinary project aims at the design of antimicrobial coatings. The student will con-tribute to the design and nanostructural characterizations of the coating using microscopy techniques, scattering methods and spectroscopy in our lab and at large-scale research facilities such a
Learning from UAV based Spatio-temporal-Spectral Environment Maps
This thesis will be performed within the framework of the European project Flourish. The aim of the project is to develop the underlying science and technologies required to use a combination of aerial and ground vehicles to enable precision agriculture in a cost effective and user friendly manner.
Internship / Master Thesis: District Thermal Energy and Power System Modelling and Optimisation (TUMCREATE)
Developing a computational approach for integrated planning and operation of district-scale energy systems. The focus is on interlinking the design of thermal systems and electrical systems to exploit synergies in the system infrastructures, such as storage capabilities & demand side flexibility.
Skin bioelectronics and cognitive processes
With a partner lab at University of Oslo, we investigate how bioimpedance signals can serve to infer cognitive processes.
Master studies or internships at ETH spin-off company
FGen is a biotechnology spin-off company of the ETH Zurich active in the field of Synthetic Biology and high throughput screening. We are located at the Technologie Park Basel and offer positions for bachelor/master studies and internships.
Master Thesis – Extrusion of unbreakable cables
At the startup-up company nanoleq from ETH Zurich, we developed a new cable technology providing higher lifetime and mechanical flexibility based on stretchable electronics.
Research Assistant in Economics
We are looking for a RA with an economics background and/or a very strong interest in economics. This position is ideal for people who later on want to pursue a Ph.D. in economics.
Coupling Human and Robot: A Novel Cuff System for Arm Exoskeletons
Together, the Sensory-Motor Systems Lab (SMS) and the Robotic Systems Lab (RSL) will develop a new generation of the ARMin Exoskeleton (www.sms.hest.ethz.ch/research). The cuff system is the only part of the device that is in direct contact with the user and transfers all the forces exchanged betwee
Research Assistant Python/Django for economics experiments
We are looking for a RA with strong Python and Django skills, to code economics experiments and online surveys using the open source software otree.org https://apply.refline.ch/845721/5725/pub/1/index.html
Molecular warfare in infected wheat: How does specific resistance against a fungal pathogen work?
We are looking for a master student with interests in molecular plant pathology. The project focuses on plant immune responses that are triggered upon recognition of a fungal protein via an unknown resistance gene.
PhD position in the Institute of Physiology, University of Zürich – Endocrine control of phosphate balance
The concentration of phosphate in blood is tightly controlled to avoid the consequences of hypo- and hyperphosphatemia. The project dissects the role of endocrine factors in the acute defence against phosphate overload.
Use of a DVS for SLAM in high speed applications
Visual SLAM proved to provide high localization accuracy for many applications. With the use of a dynamic vision sensor, this project aims to improve SLAM accuracy and robustness for high speed applications.
Adaptive Trajectory Sampling and Control Throttling for High-Speed Flight
The goal of this project is to analyze the impact of the sampling frequency on the tracking performance of a quadrotor flying an high-speed trajectory.
Swimming performance of ABFs with different geometry
ABFs have shown greet potential to be used in biomedical application, such as, drug delivery and DNA transfection. Their geometry parameter is one of the main factors that affect their swimming behaviors. This work is aiming at experimentally understanding how ABF’s geometry affect their swimmi
Mimic a Therapist: Control and Kinematic Design of a Rehabilitation Device with Two Force Controlled 6 DoF Manipulators
Together, the Sensory-Motor Systems Lab (SMS) and the Robotic Systems Lab (RSL) are searching for novel concepts of robotic therapy. We want to investigate the possibilities of human-robot interaction with two force controlled 6-7 DoF end-effectors. Hence, mimicking the two arms of a therapist.
PhD position in the Institute of Physiology, University of Zürich – Molecular identification of phosphate sensing pathways
Phosphate is essential for life. In mammals, the blood concentration of phosphate is tightly controlled to avoid the consequences of hypo- and hyperphosphatemia. Even though much is known about phosphate sensing mechanisms in bacteria or yeast, little is known about mammalian phosphate sensing.
Determining the Effects of Joint Misalignment in the Upper Limb Exoskeleton ARMin 5
Together, the Sensory-Motor Systems Lab and the Robotic Systems Lab will develop a new generation of the ARMin Exoskeleton. The alignment of the human and exoskeleton joints has a large influence on the quality of the interaction, e.g. the transparency and the assessment of human joint stiffness.
Exploring the microbial potential for bioelectrochemical production of value-added chemicals from CO2
This project has been evaluated by Formas as “outstanding” with regards to its societal relevance and importance. It deals with some of our societies’ biggest concerns; sustainability in producing our society’s chemicals and fuels from non-oil-based sources, and reduction of our net CO2 emissions.
Enzymatic tools for Seaweed Biorefinery - Biomass deconstruction and extraction of fine chemicals
New enzymatic tools and processes need to be developed for the proper utilization and processing of seaweed polysaccharides as renewable resource. We have different approaches to achieving this, and hence the project can be tailored to the candidate’s skills and interests.
Master Thesis: Computational modeling and simulation of flow and transport in the Kidney
The kidneys are responsible for filtration of blood and removal of waste products of metabolism. To date, kidney O2 regulation is poorly understood. With the help of computational methods and using the latest supercomputers, we aim to determine oxygen distribution in the kidney.
Development of a Robotic Laser Photocoagulation Probe
Laser photocoagulation is a tool used for treating certain retinal disorders in ophthalmology, and is usually performed using a handheld laser tool. Such procedures require a level of dexterity and precision, and as such we propose developing an automatically positioned tool.
Graphical analysis of biopsy probes during liver perfusion experiments
Analyzing tissue probes from pig liver perfusion experiments.
Surgical Robot for Laser Osteotomy
In this project, the Master candidate will participate in the development of a surgical robot for the manipulation of a semi-flexible endoscope. The robot has 6 DoF for the control of the position and orientation of the endoscopes tip and an additional DoF for the bending of the tip.
Designing icephobic surfaces
Surface icing is ubiquitous in nature and industrial applications. It plays a significant role in everyday life and can result in catastrophic events when not properly managed. Understanding and counteracting surface icing brings with it significant scientific challenges, which form an intersection
Obstacle Avoidance with Quadrotors Using a Neuromorphic Event Camera
This projects aims at implementing and evaluating state-of-the-art algorithms for time to contact using a Neuromorphic Event Camera. Such algorithms can be applied to obstacle avoidance with quadrotors.
Modelling, Control and Planning for a Shape-Shifting Quadrotor
The majority of the quadrotors available on the market rely on a fixed mechanical structure, which cannot be changed while flying. The goal of this project is to enable quadrotors to change their morphology while they are airborne, guaranteeing stability during the entire flight.
Deep learning techniques for quantitative characterization of microscopy multidimensional images
Segmentation of cells/structures in 3D microscopy images
High accuracy mobile manipulation
The goal of this project is to investigate how an end-effector-centric sensing and control system for a mobile manipulator impact system performance in tracking desired trajectories in Cartesian space.
Object tracking for augmented reality building construction
This project considers a object tracking system to be used as the back-end for an augmented reality building construction system. Different project options are available to expand the capabilities of the existing system.
From Dense Descriptors to (Semi-)Sparse SLAM
The goal of this Master thesis is to explore the use of sparse keypoint detection from densely extracted feature descriptors in the context of Simultaneous Localization And Mapping (SLAM).
Carbon storage and water use efficiency in silver fir (Abies alba): investigating the effect of simulated browsing in a provenance trial
The main objective of this study is to reveal the respective roles of genetics, environmental and biotic stress in shaping the natural variation of drought tolerance in silver fir and to identify populations with high evolutionary potential for drought and browsing adaptation. We shall use stable isotope measurements of silver fir seedlings to determine the extent to which water use efficiency and C storage are influenced by genetic factors and ungulate browsing. Our study will help to understand the genetic and environmental drivers in determining how stress factors such as drought and herbivory modify the growth patterns of silver fir seedling. Our results will help advising the management of forest genetic resources by potentially identifying silver fir population resistant to drought and/or browsing by ungulates.
Designing Robot Control Using Machine Learning
The automated design of a control strategy for virtual robots
Computational Design of Rigid Robots Using Shape Grammars
The automated design of virtual rigid robots
Electrical Impedance Tomography on High-density Microelectrode Arrays
Electrical impedance tomography (EIT) of Cell layers (e.g., iPSC-derived cardiomyocytes) or tissues (e.g., retina or an acute slice of mouse brain) placed on the high-density microelectrode arrays to infer the cell morphology, position and growth.
Master thesis "Gestagen metabolites during late pregnancy in Asian elephants (Elephas maximus)"
Elephants are among the few mammalians which do not use progesterone as functional gestagen. A detailed analysis of specific progestins using LC-MS/MS will unravel the gestagen meabolites of Asian elephants during late pregnancy and calving.
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.
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.
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.
Master thesis: Innovation policies and technological change: The case of battery storage in the energy and mobility sectors
Research field and tasks In the Paris agreement, almost 200 countries committed to drastically reduce their CO2 emissions. In order to achieve this goal, both the energy and mobility sector, which together account for almost half of these emissions, need to transform towards low-carbon technologies. For the energy sector this means ever-increasing solar PV and wind power capacities, and therefore an increasing share of intermittent power. Correspondingly, balancing electricity supply and demand is considered a key challenge in this transition. For the mobility sector, we currently see almost all major automakers shifting their portfolios towards electrified vehicles and announcing massive investments in production capacities. E.g., Volkswagen plans additional investments in this area of EUR 20bn until 2030. In both these sectors, policy makers and practitioners consider battery storage as a key component of future systems – especially given the rapid decline of battery system costs during recent years. As part of our research agenda on battery storage policies, EPG is looking for a student that likes to conduct her/his Master’s thesis on this topic – specifically analyzing the linkages between battery storage policies and manufacturing investment in different countries. The student’s tasks may comprise, amongst others: • Further developing existing databases on battery storage manufacturing plants and on battery storage policies for selected countries (e.g., EU, China, USA, Korea) • Conducting quantitative and qualitative analyses to study the interdependency of policies and manufacturing investments • Discussing the results and deriving policy implications Requirements We are looking for an excellent student with strong English skills, who is self-dependent, ambitious, has a highly structured and goal-oriented way of working and the ability to work in a team. A good understanding of battery storage technologies and/or policy analysis/ assessment is a plus. We are open in terms of disciplinary background (e.g., engineering, political science, business, and economics) and will tailor the thesis topic accordingly. Applications from non-ETH students are also welcome. Conditions The student will work in close collaboration with EPG team members and Prof. Tobias Schmidt. She/he will have the opportunity to become an integral part of the EPG research team. The duration of the thesis is 6 months – starting date is flexible. Your application Your application documents should include a short letter of motivation (one page), your CV, and transcript of records (with grades). Please send your complete documents via email to: Martin Beuse (martin.beuse@gess.ethz.ch) At www.epg.ethz.ch you can find more information about the group.
Master’s thesis: What drives Swiss energy efficiency policy in the building sector?
Research field and tasks In the Paris agreement, almost 200 countries, including Switzerland, committed to drastically reduce CO2 emissions. With buildings being responsible for roughly one third of total Swiss greenhouse gas emissions, this sector is key in achieving the country’s emission reduction pledges. In Switzerland, building regulation is administered at the cantonal level, and some cantons have started promoting energy efficiency in buildings as early as the 1970s with measures such as standards and loan programs for energy efficient building renovations. Parallel to policy change, new and improved technologies have emerged in the building sector. How this technological change and the interests of the expanding industry for low-energy building technologies feed back into the political and policymaking processes has not been analysed, yet. EPG offers a master’s thesis that aims to investigate this co-evolution of policy and technology. The student’s task will comprise, amongst others: • Reviewing the relevant literature • Develop a database of energy efficiency policies and industry development in Swiss cantons over time • First statistical analyses of the gathered data Requirements We are looking for an excellent student with experience and interest in data collection and analysis and the ability to work in a team. Fluency in German, French, and English is required. Strong communication and project management skills, experience in statistical analysis, and knowledge of Italian are an asset. We are open in terms of disciplinary background and master program. Applications from non-ETH students are also welcome. Conditions The master student will work in close collaboration with Léonore Hälg and Nicolas Schmid, two PhD students at EPG, as well as Prof. Tobias Schmidt. She/he will have the opportunity to become an integral part of the EPG research team and contribute to EPG’s emerging research agenda. Duration of the thesis is 6 months. Ideally, the start would be in Fall 2017. Your application Your application documents should include a short letter of motivation (max. one page), your CV, and transcript of records (with grades). Please send your complete documents by email to: Léonore Hälg (Leonore.haelg@gess.ethz.ch) At www.epg.ethz.ch you can find more information about the group. The review of applications will start immediately after publication of this ad and will continue until the position is filled.
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.
Master theses: “Scaling up computational emotion research”
BachLab now offers MSc projects on scaling up computational emotion research, by harnessing the power of crowdsourcing and ubiquitous consumer-grade sensors. Please find more information in the attached document.
Global Structure-from-Motion from Learned Relative Poses
The goal of this Master thesis is to explore the use of relative poses and dense depth maps estimated via a neural network in the context of Global SfM.
Efficient Carbon based Water Adsorbers for Sustainable Cooling
Energy efficiency of cooling and air conditioning are a significant future challenge. Activated Carbon xerogels are promising water adsorbers for sustainable cooling. The in-house developed next generation carbons will have to be upscaled, integrated in a heat exchanger prototype and fully tested.
Master thesis: Spillovers in natural resource behavior, A survey experiment
Student designs a survey experiment on MTurk (n=3,500) on behavioral spillovers in economic behavior.
Atomistic Simulation of Carbon Sorbents for Sustainable Cooling
Energy efficiency of cooling and air conditioning are a significant future challenge. Activated Carbon xerogels are promising water adsorbers for sustainable cooling. In order to optimize their performance the link atomistic structure-performance has to be better understood.
Multi-IMU Sensor Fusion for Visual Simultaneous Localization and Mapping
The goal of this thesis is to extend the existing visual SLAM system by developing a novel multi-IMU sensor calibration and fusion algorithm. This algorithm will have high impact and improve the autonomy of the robot by allowing the robot to retain a more accurate and robust location in the world when the visual system fails (e.g., sudden illumination changes, texture less regions, reduced drift, etc.).
Research Assistant (100%) – Digital Therapy, Data Analytics & Mobile Computing with the objective of obtaining a PhD - SNF MobileCoach
Be part of our team and change health behavior through technology - A background in computer science, business informatics, machine learning, statistics and programming is recommended.
High-speed Augmented Realty with Event-based Cameras
The goal of this project is to achieve high-speed camera pose tracking of a single event-based camera unlocking the possibility of virtual reality applications. The tracking system shall use an a priori unknown pattern which will have to be learnt on-the-fly.
Finite-Element simulation of acoustic wave propagation to measure bone properties
The goal of this master thesis is to simulate the application of acoustic waves to detect bone pathologies and measure individual bone properties using Finite-Element techniques.
Monitoring fracture healing using acoustic waves
Bone fractures are frequent, lead to a strong decrease in mobility and ability to work, and impose a heavy burden on the economic and public health systems. Quantitative acoustics could offer a new method to monitor bone fracture healing in a non-invasive, portable and inexpensive manner.
Magnetic microtubules for cargo delivery
Microtubules are the highways for motor proteins to delivery cargos inside the cells. Inspired by the microtubules, we are going to develop magnetic fibers that can guide the magnetic objects transport at microscale. This fiber can later been used for accurate cargo delivery in complex environments.
Define effective DMD parameters on design for laser AM of metallic parts
Definition and validation of the effect process parameters on the final geometry of the additive manufactured metallic part made by Direct Metal deposition process.
Engineering Complex Systems with Big data and information Technology (IDEA League Doctoral School - ECS-BIT’18)
The ECS-BIT’18 doctoral school will offer the students a broad perspective on the role of big data analysis and emergent IT technologies in complex systems engineering in large-scale, interconnected, highly complex and dynamic socio-technical systems, from the point of view of different disciplines.
„Genotoxicity of engineered Nanomaterials”
Engineered nanomaterials (ENM) are intentionally manufactured nanomaterials with novel physicochemical characteristics that find application in industry, healthcare and in the field of biomedicine. Despite the many benefits of ENM, there is a growing concern on the potential consequences of ENM exposure to human health and the environment. Our interest lies in nanosafety assessment and the investigation of the genotoxic potential of ENM. In the context of the proposed master project, we will investigate the effects of different ENM on DNA damage induction in human cells. One method to assess ENM induced DNA damage is the automated FADU (Fluorimetric detection of Alkaline DNA Unwinding [1]) assay, which measures DNA strand breaks. The results obtained by using this assay will be compared to results of the comet assay, currently the most frequently used method for assessment of nanogenotoxicity. Another part of this project is the analysis of potential interferences of ENM with the FADU assay.
Horizontal Behavior of Particle Damping
The usage of composite materials brings new opportunities in terms of structural damping. Particle Damping has proved to be an efficient technology in such structures. Its behavior under horizontal excitacions will be investigated.
Semi-automatic labelling of 2D images using reconstructed 3D models
The scope of this thesis is to develop a pipeline to automatically label 2D images of objects like cell towers or windmills by using a reconstructed 3D model of the object.
Registration Based Relative Path Planning and Collision Avoidance for Industrial Drone Inspection
The scope of this thesis is to develop a map based algorithm for path planning in potential drone inspection environments like cell towers, wind parks and power plants.
Deep Learning: Image Recognition, Registration and Viewpoint Estimation
The scope of this thesis is to learn the detection of common infrastructure elements like GSM antennas, powerline isolators & valves based on 3D models using according Convolutional Neural Networks.
Diffusion Tensor Imaging of the Human Heart
Diffusion tensor imaging (DTI) is a non-invasive Magnetic Resonance Imaging (MRI) technique to probe the cardiac muscle fiber orientation. The ability of DTI to image the complex cardiac fiber architecture is a promising tool for assessing cardiac function in patients suffering from cardiomyopathy.
Design and Development of an AM-CFRP Exoskeleton Hip Component
As part of ETH’s Strategic Focus Area: Advanced Manufacturing, CMASLab and pd|z are investigating on individualized, cost-efficient ultra-lightweight structures. These types of structures are achieved by a combination of Additive Manufacturing (AM) and Carbon Fiber Reinforced Polymers (CFRP) process
Learning Deep Priors for Image Reconstruction
Dynamic Magnetic Resonance (MR) imaging offers exquisite views of cardiac anatomy and function. The objective of this project is to develop and implement methods that allow learning a data model from large sets of training data to be used in nonlinear data recovery from highly undersampled MR data u
Disambiguating Structure-from-Motion Using Repetition Detection
The goal of this work is to design and implement a pre-processing stage for SfM. This stage will be based on an image matching strategy that takes into account repetitions detected in the images, in order to avoid matching ambiguous images with each other.
The Effect of Surface Wettability on Corona Onset in HVDC Electric Fields
Corona is a partial discharge that is observed on High Voltage overhead lines and water drops play significant role in the enhancement of this phenomenon.In this work we investigate the effect of the surface wetting behavior on the onset of corona formation in homogeneous high voltage electric field

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