Search for public opportunitiesRegister now and browse all open positions. It's free!Profit from a great search interface and directly apply to the position of your choice. SiROP - Excellence in Science! Profit from a great search interface and directly apply to the position of your choice. SiROP - Excellence in Science! Notify me when new projects of my interest are advertized!You define what you are interested in and we will send you an Email when a new project matches your criteria, it's that easy. You define what you are interested in and we will send you an Email when a new project matches your criteria, it's that easy. Results |
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We want to perform the human behaviour analysis using a deep learning architecture with multiple modalities include hand pose, facial expression and speech. - Information, Computing and Communication Sciences
- Master Thesis
| Computer vision/behavioural neuroscience project: Use of 3D markerless computer vision deep learning algorithm (DeepLabcut) for pose estimation, followed by classification algorithms (e.g. TreeBagger) to estimate behavioural output during various neuroscience studies. This would ideally suit a stude - Central Nervous System, Systems Biology and Networks
- Bachelor Thesis, Master Thesis, Semester Project
| In the context of global Covid-19 pandemic it may be tempting to side-line other health issues, however lockdowns and imposed restrictions are expected to worsen impacts of two of them in particular – bodyweight/metabolic and mental health problems. What is even more telling is that often these are comorbidities of one another - that is they are commonly diagnosed with one another. From an evolutionary biology point-of-view this link is less surprising, as all animals share a risky survival strategy – to move in order to secure energy and nutrients, avoid danger, spread out to novel environments and ultimately reproduce. However, this also means animals require expending a lot more energy, which in turn must be scavenged with surplus. To enable a mobile lifestyle, complex regulatory systems have evolved that compute energy and nutrient requirement against energy expenditure and metabolic needs: from sensory to digestive and metabolic systems, all the way regulatory hormonal and nervous systems, most important of which is the brain. Because these systems evolved to work together it therefore makes sense to study them in concert, which until recent technological advances was prohibitively difficult. - Central Nervous System, Modeling and Simulation, Systems Biology and Networks
- ETH Organization's Labels (ETHZ), Master Thesis, Semester Project
| The project aims at developing a marker-based approach for identifying subject-specific segmental mass distribution parameters of the trunk and to investigate its effect on musculoskeletal simulations of spinal loading during various functional activities. - Biomechanical Engineering, Biomechanics
- Master Thesis
| Become part of a great and motivated, young research team! This interesting project offers the unique opportunity to get experience with portable electrophysiological techniques, pupillometry, and advanced cognitive tasks. Furthermore, our motivated team is eager to mentor you in terms of good clini - Behavioural and Cognitive Sciences, Medical and Health Sciences
- Bachelor Thesis, ETH Organization's Labels (ETHZ), Internship, Master Thesis
| A muscle synergy is represented as a combination of a time-invariant muscle activation pattern, which is activated by time-dependent coefficients in a selected time frame, and muscle synergies whose activation patterns with only one or two main peaks are called fundamental synergies. Combined muscle synergies, which are similar to a linear combination of fundamental synergies, are often observed during daily activities. This combination resulted in reduction in the number of total muscle synergies, and a clear characterization of this phenomenon could be crucial to understanding pathological conditions such as instability. Thus, the aim of this project to identify and study combined synergies of low extremity muscles after total knee arthroplasty by using different algorithm-based methods, such as non-negative matrix factorization (NMF) and Principle component analysis (PCA). - Clinical Sciences, Neurosciences
- Internship, Master Thesis, Semester Project
| Current solutions for aerial physical interaction still lack the required precision and robustness required in real applications. This project goes beyond state-of-the art control methods with the use of integrated force sensing at the rotors.
- Aerospace Electrical Systems, Electrical and Electronic Engineering, Flight Control Systems, Mechanical Engineering, Robotics and Mechatronics
- Master Thesis
| Flow networks play a role in engineering applications as well as environmental flows. For the generation & flow simulation of large networks involving hundreds of millions of nodes, Python computer codes shall be implemented that interact with existing high-performance-computing libraries. - Earth Sciences, Environmental Engineering, Mechanical and Industrial Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| High-accuracy interaction and manipulation of the environment with flying MAVs requires a precise knowledge of interaction forces and torques. This project intends to improve aerial interaction by optimally estimating interaction forces exploiting multiple sensor measurements. - Aerodynamics, Flight Control Systems, Flight Dynamics, Mechanical Engineering
- Master Thesis, Semester Project
| In this project we aim at apply and extend robust data-driven dynamic programming (DDP) algorithms present in literature. We will test the performance of the developed scheme in the context of energy system management. - Engineering and Technology
- Master Thesis, Semester Project
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