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.
Economic Evaluation of Landscape Quality Payments in Swiss Agriculture
Economic evaluation of landscape quality payments in Switzerland using a non-parametric propensity score matching approach (difference-in-difference estimator). The underlying hypothesis is that the voluntary program creates windfall effects that undermines the efficiency of the policy.
Visual Bundle Adjustment with an Event Camera
The goal of this project is to improve an existing visual odometry pipeline using an event camera by designing and integrating a visual bundle adjustment module in order to reduce the drift in the odometry pipeline.
A real-time Event Camera Simulator
Event cameras such as the Dynamic Vision Sensor (DVS) are recent sensors with large potential for high-speed and high dynamic range robotic applications. The goal of this project is to extend and improve an existing event camera simulator developed in our lab.
PhD position: Real-time fMRI-based Neurofeedback in elderly individuals
A 3-year PhD position is available at the Department of Old Age Psychiatry and Psychotherapy at the University of Bern in Switzerland (Head: Prof. Dr. Stefan Klöppel).
Optical Flow Estimation with an Event Camera
The goal of this project is to use event cameras to compute the optical flow in the image plane induced by either a moving camera in a scene or by moving objects with respect to a static event camera.
Event Camera Characterization
Event cameras such as the Dynamic and Active Pixel Vision Sensor (DAVIS) are recent sensors with large potential for high-speed and high dynamic range robotic applications.
Building a high-speed camera! Learning Image reconstruction with an Event Camera
The goal of this project is to turn an event camera into a high-speed camera, by designing an algorithm to recover images from the compressed event stream.
A Visual-Inertial Odometry System for Event-based Vision Sensor
The goal of this project is to develop visual-inertial pipeline for the Dynamic and Active Vision Sensor (DAVIS). The system will estimate the pose of the DAVIS using the event stream and IMU measurements delivered by the sensor.
Continuous Structure From Motion (SfM) with an Event Camera
The goal of this project is to explore the possibilities that continuous structure from motion (SfM) has to offer for event cameras.
Augmented Reality Brick-Laying
We are looking for an exceptional student for a Master's Thesis developing an augmented reality system to guide the construction of a brick building.
Learning Control
Machine learning for advanced control of intelligent systems
Implementing a mechanical testing methodology for assessing the flexure stiffness of healed mouse femurs
Assessing the mechanical properties of healed mouse femurs with three point bending tests poses a challenge due to certain test artifacts. Implementation of an experimental, imaging and computational approach will allow accurate determination of these properties.
Modelling external fixators in mouse defect loading studies
During our bone fracture healing experiments, we implant an external fixator. Understanding this fixators behavior and incorporating its implant geometries into our boundary conditions is a key step in understanding the strain in the mechanical environment during healing.
Developing Approaches for Computational Modelling of a Nanoprinted Structure in an In Vitro Osteocyte Model
Nanoprinting has enabled the creation of osteocyte scale structures to investigate the mechnobiological processes involved in cell to cell signalling. Applying computational simulation techniques to model the domain poses a challenge yet will allow insight into loading and cell to cell communication
Effects of pesticide use on the provision of ecosystem services
Ecosystems provide important services to society. The use of pesticides though might reduce provision of such services. Possible effects have to be identified and to be accounted for in pesticide policies.
Pesticide policies - adding a spatial dimension
Pesticide use has negative effects on the environment and human health. Impact is though often dependent on landscape characteristics - effective and efficient pesticide policies should therefore consider such characteristics.
Optimal control of muscular systems for movement biomechanics
Development of algorithms for the optimal control of musculoskeletal systems in human motion
How can Smartphone Apps support their users' personality development goals, 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 apps can support their users by analyzing sensor data and usage logs?
Optimization of 3D printed integrated sensors for composite materials
Integrated sensors aid in real-time damage detection in structural components for aerospace wind turbines, prosthesis and automobiles. The application of these sensors starts even before the service life of the product via online monitoring during cure, repairs and lasts beyond its design life.
Registration of biomechanical atlas to subject data
Registration of surface models, a.k.a. meshes, between generic an atlas to subject-specific data
Low-cost and Handheld Interferometric Imager with Subnanometer-resolution for Point-of-Care Diagnosis
This project is about developing and verifying a prototype of an imaging device (based on CMOS) for point-of-care (PoC) applications (such as early state detection of blood infections (SEPSIS) and other diseases).
Image-Registration in Fractured Bone
Image registration is an essential tool in bone research, yet existing software can only deal with easy geometries like healthy bone or single fractures. Therefore, the present study will investigate possibilities to register 3D images with higher geometrical complexity.
Open research assistant position at the Institute for Biomedical Engineering- 15-20 hours per week
We are currently looking for a research assistant who will technically support our project, which aims to better characterize the link between tumor hypoxia and cancer metastasis, during 15-20 hours per week. The laboratory work associated with the project will involve generation of stable reporter
Development of drug delivery wet dressing for localized treatment of psoriasis
Psoriasis is a chronic skin disorder addressed mainly with inefficient topical treatments. Here we propose a wet dressing to control the release of nanosized particles able to penetrate the dermis and provide a localized action of drugs through the use of functionalized electrospun fibers.
Investigating behavioral consequences of neuroactive micropollutant exposure in zebrafish larvae
Selecting an appropriate behavioral response is critical for the survival of an animal. This innate ability might be severely affected by substances that act on the nervous system. Many neuroactive chemicals are present in our water, but the effects on non-target organisms are only poorly understood
Optimization of a blood pump with a levitating impeller
A blood pump with a levitating impeller is used as a prototype to optimize the hydraulic efficiency by exploring potential improvements of the impeller and housing design.
Master thesis topic in the field of Focussed Ion Beam Time-Of-Flight Mass Spectrometry (FIB-TOF-SIMS)
Focussed Ion Beam Time-Of-Flight Mass Spectrometry (FIB-TOF-SIMS) is an analytical technique that allows all ionized atoms and molecules to be detected and represented in a 3D space with high resolution.
Master- /Semester Thesis on Computer Vision
Road lanes and region of operation detection.
Simultaneous Optical and Electrical Imaging of Neural Activity
The main goal of this project is to combine optical and electrical functional readouts on microelectronics-based microelectrode array, in order to study neural network in vitro.
Simulation of Kiss-Roll Coating
This thesis shall build on an existing simulation tool in ANSYS Fluent which models dip-coating of single fibers for the production of bicomponent fibers. The model geometry shall be modified to resemble kiss-roll coating of a single fiber.
The use of meta-analyses to evaluate and map ecosystem services
Meta-analyses seem to be an interesting alternative to overcome the lack of data available to assess ecosystem services. A state of the art of research on the use of meta-analysis would be of interest to identify gaps and contributions of such approachs.
Development of Online Temperature Estimation of ARMin Motors
Get an overview about the present ARMin motor setup and common torques. Develop and adapt an online algorithm for the estimation of the actual motor temperature to protect the expensive hardware.
Mimic a Therapist: Estimation and Control of Human Shoulder Kinematics with a Redundant Manipulator
Together, the Sensory-Motor Systems Lab (SMS) and the Robotic Systems Lab (RSL) are searching for novel concepts in robotic therapy. We want to investigate if it is possible to estimate/learn the human shoulder kinematics (5 DoF) with a torque controllable redundant manipulator (6 DoF). We expect that this could make the alignment procedure more efficient and precise.
Improving robustness of industrial yeast strains using CRISPR/Cas9
Within this project, the student will alter the expression of different tolerance-related genes by CRISPRi. Eventually, beneficial alterations will be established permanently using CRISPR. Furthermore, strain tolerance will be will be evaluated through cultivations in small scale fermentations.
Semester- / Master Thesis
We developed a mapless method to warn drivers of upcoming accident hotspots. This method must be evaluated and optimized.
Predictive Triggering for Multi-agent Systems
Master thesis project on intelligent resource allocation in distributed control of multi-agent systems
Dielectric metasurfaces
We aim at studying the absorption/transmission characteristics of dielectric metasurfaces that outperform their plasmonic counterparts in terms of spectral resonance confinement, extinction and overall transmission. The goal is to develop a theoretical framework for simulating dielectric metasurface
4D-printed medical devices
Fabrication of stimuli-responsive 3D-printed medical devices for minimally invasive surgery. The project will be carried out in tight collaboration with medical doctors.
Master thesis: Molecular responses to herbicide exposures in stream biofilms
Linking exposure to herbicides and effects on microbial communities is a key scientific and societal challenge. In this project, you will explore this causal relationship at different levels of biological responses.
Master Thesis - Methods development for monitoring metal transporters in green algae Chlamydomonas reinhardtii
In this project we will adapt targeted proteomics techniques existing in our lab for the selective detection of metal transporters in extracts of metal-exposed and control Chlamydomonas reinhardtii.
Optical imaging of neutrophil pathology after stroke
The project will employ preclinical models of ischemic stroke and advanced optical imaging techniques to elucidate the mechanisms by which neutrophils affect ischemic tissue damage and outcome. A special focus will be to investigate their effects on hemodynamic function and vascular integrity.
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.
Ph.D position in modelling neurodevelopmental psychiatric disorders
The current post- doctoral position will involve work with neuronal cell modelling generated from personalized patients’ specific induced pluripotent stem cells (iPSCs). Growth and maturation alterations will be investigated (methods: live microscopy, molecular, biochemical and electrophysiology/ ME
Gaze and Cognitive State Estimation During Motor Learning Trainings using Camera
The goal of this thesis is to form a modular face tracking system, using cameras or similar hardware, to estimate the gaze and emotional or cognitive states of a human during robotictraining or therapy.
Estimating arm posture from an end-effector rehabilitation robot
The goal of this technical project is to evaluate different techniques to estimate the posture of the human arm (i.e. arm join angles) in real time using end-effector robots and other technologies (e.g. vision systems).
Motor Learning Studies with Novel Error Amplification Strategies
Robots can be employed to perturb subjects by amplifying their errors. The way these amplifications must be designed to maximize learning is still unknown. The topic of this thesis is to design novel error amplification strategies, implement them using robotics and VR, and run a feasibility study.
Dynamic fluorescence molecular tomography based on finite element method
Objective 1.Development of image reconstruction algorithm for solving dynamic FMT problem based on FEM/STIFT. 2.Validation of such an algorithm using silicone phantom studies. 3.Potential in vivo studies can be performed if the former two targets finished.
PhD Position in Plasma-Pulse Geo-Drilling (PPGD)
Plasma Pulse Geo-Drilling is a contactless drilling technology which utilizes an electric discharge to break away crystalline rock. We are looking for a PhD student to test PPGD on rock samples to understand its fundamental behavior and to inform product development.
Master Thesis: BetterChoice: Purchase Feedback App
We will build a mobile application called BetterChoice. Our app aims to scan Swiss products and give nutritional feedback based on ingredient data. The app has 3 innovations: 1) evaluation purchase history long-term, 2) user-specific recommendations, 3) aggregating multiple product databases.
Bachelor/Master Thesis: Food AllergyChecker App
Together, we will build a mobile app that allows user to check food items (barcode scan products or assess machine-readable menu items) and validate them versus a new interoperable user-specific allergy profile. This research will help to create a new allergy standard for users world-wide.
Master Thesis: NutritionAvatar: Creating Intention to Eat Healthier: Food Diary based Avatar
In this thesis, you will use & improve an existing nutrition avatar app that predicts a user's health in 10 years based on his/current nutrition. Your avatar will be tested under real-life conditions and validated by real users via the Swiss mobile app stores.
Master Thesis: Swiss FoodTracker – App Validation Study
We plan to validate a salt/sodium intake tracking app called "Swiss FoodTracker". The app was completed in 2017 and during this thesis, we will compare its salt intake estimate versus state of the art instruments, such as paper-based and urine-sampling based methods and measure the app's accuracy.
(Conditional) Generative Motion Modelling
Focus of this project is designing a generative temporal model that is able to synthesize novel human motion sequences.
Style Manifold of Digital Ink
By using generative temporal models we aim to learn interpretable representations of digital ink including handwritten text and hand-drawn sketches.
Master Thesis: Image2Product: Computer Vision Thesis
You will use computer vision and machine learnine to prdict 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 such as Keras, PyTorch or Tensorflow.
Hilfsassistierende Sportphysiologie-Praktikum für HS 2018
Für das Herbstsemester 2018, sucht das Exercise Physiology Lab (ETH Zürich) initiative und sportphysiologie-gewandte Hilfsassistierende für das Sportphysiologie-Praktikum.
Image Reconstruction Methods for Sparsely Sampled 4D Flow Magnetic Resonance Imaging
4D Flow magnetic resonance imaging provides quantitative information about blood flow and its temporal evolution in three dimensions. Advanced imaging techniques allow the image reconstruction from highly undersampled data and thus decrease the acquisition time to clinically acceptable durations.
Assessing and Reducing Society`s Environmental Footprint (ETH Zurich Summer School)
3 - 7 September, 2018 - This summer school focuses on measuring and assessing the environmental footprint of countries, industries, firms, and people; government/state-led measures within and beyond the respective country; firm- and industry-level measures; and voluntary consumer measures.
Ethics of New Biotechnologies (TU Delft Summer School)
27 - 31 August, 2018 - 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?
Advanced Atomic Scale Characterisation (IDEA League Doctoral Schools)
Atomic scale characterisation makes it possible to shorten development cycles, improve the lifetime and enable new technological innovations. The aim of the School is to nucleate a sustainable network for exchange of human resources and competencies between the individual locations.
Smart Cities (ASPIRE League Summer School, NTU Singapore)
9 - 13 July, 2018 - Nanyang Technological University (NTU). The ASPIRE Forum brings together vice presidents from its member universities. This year’s Student Workshop will comprise a mix of academic talks and site visits, which will facilitate the students’ comprehension of the theme.
Future Urban Mobility (RWTH Aachen Summer School)
17 - 21 September, 2018 - The Mobility Summer School 2018 covers various lectures regarding solutions for future urban mobility. Concepts for passenger and commercial vehicle usage will be elaborated based on urban development scenarios to meet the challenges of future transportation.
Empowering Imagination (Politecnico di Milano Summer School)
3 - 7 September, 2018 - The course aims at empowering imagination as one of the most promising tools we have at our disposal when we think of both how to act and interact and how to work on the objects we create in science, engineering, architecture and design.
Rational texturing of metal surfaces for enhanced dropwise condensation under vapor flow
Condensation is a process found extensively in nature and technology. In this project employing fundamentals in wettability engineering we promote dropwise condensation (DWC) which exhbits much better heat transfer performance as compared to filmwise condensation (FWC).
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
Hands on a Spin Qubit Device: g-factor anisotropy in GaAs
We are looking for a motivated, talented and technology-savvy physics or nanoscience student for research of the theoretically predicted g-factor anisotropy in a lateral Gallium Arsenide (GaAs) quantum dot spin qubit device measured at sub-Kelvin temperature.
Programming of 5-axis path strategies for additive manufacturing by DMD
The IWF owns a 5-axis machine for combined DMD and milling. The task of this thesis is to conceptualize, develop and integrate 5-axis path strategies in MATLAB for additive manufacturing.
Master thesis: Turn a physiological mathematical model into a gaming engine
Computational models of complex physiological systems represent a unique opportunity for tailored teaching and learning of complex biomedical systems, provided that they can be translated into **effective didactic tools**. In this project, you will translate a mathematical model into a game engine.
2018 Dresden Summer School in Systems Biology
This school provides lectures and tutored hands-on training in spatiotemporal modeling and simulation of biological systems for students with a computational/quantitative background. It is intended primarily for Master and Diploma students of Computer Science, Physics, Engineering & Mathematics.
Optimization of drug-eluting coating on neural implant
The aim of this work is to improve the functionality of long-term electronic implants via polymer-based controlled drug release.
Exploration Strategies for a Legged Robot
Path planning strategies to allow a quadruped robot to operate autonomously in an unknown environment.
Advanced Computer Models for Magnetic Resonance Perfusion Imaging
Magnetic Resonance (MR) perfusion imaging is a clinically established technique to detect coronary artery disease (CAD). Advanced computer models are important to test novel image acquisition and reconstruction strategies. This project aims to further develop computer simulations for MR perfusion.
Experimental study on Selective Laser Sintering/Melting of ceramics
The project will focus on understanding and analyzing the influence of different laser, process and material parameters on ceramics selective laser sintering/melting (SLS/SLM).
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: Adaption and implementation of two fluoroscopic C-Arms
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: Adaption and implementation of two fluoroscopic C-Arms
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: Design and validation of the electrical drive system (vertical axis)
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: Design and validation of the electrical drive system (vertical axis)
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: Implementation of a tracking system – Feedback control algorithm
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: Implementation of a tracking system – Feedback control algorithm
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: 2 Positions: Design and validation of the mechanical drive (vertical axis)
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: 2 Positions: Design and validation of the mechanical drive (vertical axis)
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: Definition of biomechanical and technical parameters
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: Definition of biomechanical and technical parameters
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: DuoFluo Operating System
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: DuoFluo Operating System
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: Design and validation of the electrical driveway (horizontal axis)
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: Design and validation of the electrical driveway (horizontal axis)
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: Implementation of a real-time tracking system – evaluation and testing
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: Implementation of a real-time tracking system – evaluation and testing
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: 2 Positions: Design and validation of the mechanical driveway (horizontal axis)
Development of a Tracking Dual-plane Fluoroscope for assessing musculoskeletal and orthopaedic kinematics: 2 Positions: Design and validation of the mechanical driveway (horizontal axis)
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.
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.
Clinical application: Assess gait variability parameters with inertial sensors (IMU)
This project focuses on the development and implementation of new gait analysis algorithms for use with our new inertial measurement units (IMUs), as well as their comparison with existing solutions and validation against motion capture data.
Operational mapping of snow cover on glaciers with Sentinel-2: Data processing and analysis
You will set up a framework to map snow cover of all Swiss glaciers operationally. The basis for the mapping will be Sentinel optical imagery.
Congruency of different devices to detect motor imagery activity: a validation and test-retest reliability study
Aim: The aim of the project is to undertake a validation and reliability study to compare EEG, EMG data with recording from the J!NESE MEME smart eyeglasses. Tasks: The successful candidate will have the opportunity to learn neurophysiologic recordings and data analysis (under supervision). A study
Control of a Wingsuit-equipped Quadrupedal Robot
This project focuses on the motion planning and control of a quadrupedal robot when equipped with a wingsuit to glide over great distances.
Solubility of High-Performance Polymers
Hybrid bicomponent fibres are a new class of material suitable for the fabrication of thermoplastic composites. At CMASLab we investigate a process to efficiently coat individual glass fibres with a polymer in solution. Solubility is therefore key for the success of this technique.
EXPERIMENTAL AND NUMERICAL STUDY OF DIGITALLY FABRICATED HEATERS
The goal of this thesis is to investigate the implications of geometry and surface temperatures of digitally fabricated structures on heat transfer. The study will involve conducting experiments on proof-of-concept prototypes as well as validation of transient energy models.
Fibre-matrix Interface in high-speed manufacture of hybrid bicomponent fibres
Fibre-matrix adhesion in fibre-reinforced composites plays an important role for the mechanical properties. However, adhesion promoting measures in high-speed manufacturing of bicomponent fibres are challenging to implement which is why we want to tackle this problem.
Upscaling of High-Speed Coating for Hybrid Bicomponent Fibres
Investigation on the high-speed manufacturing of hybrid bicomponent fibres by upscaling from coating monofilaments to fibre bundles.
Drying of Polymer Films: A modelling approach
This work explores the drying of solvent-coated polymer films for the case of hybrid bicomponent fibres using a finite difference model.
Deep learning techniques for quantitative characterization of microscopy multidimensional images
Segmentation of cells/structures in 3D microscopy images
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.
Mobile App for Exercise Detection (master project in team of 2 or more)
See the project description on SiROP (UZH login required)
Development of a software toolbox for electrical stimulation experiments using micro-electrode arrays (MEAs)
Semester project with the goal of developing a Python toolbox for electrical stimulation of neurons on micro-electrode arrays.
Nanoscale phase diagram of Cu-Au
Au-Cu nanoparticles attract a considerable attention in a new technologically important field, nanoscale catalysis. The size reduction, however, also affects the nano-”phase diagram” of the system. A kinetic and thermodynamic characterization study by atom probe tomography and in-situ STEM is planned

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