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 |
---|
Fabrication of microneedle array for extracting dermal interstitial fluid. - Biomedical Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| Thermal energy storage (TES) operating at temperatures above 500 °C has the potential to help decar-bonize processes which typically rely on fossil fuels to produce high-T heat on demand.
Modelling this type of TES is challenging since heat transfer is dominated by radiation at high tempera-tures, which must be coupled with conduction and, for molten materials, convection. In a recent Master Thesis project, a voxel-based Monte Carlo model dedicated to these problems was developed and suc-cessfully validated against reference solutions [1].
The scope of this project is to exploit this software tool to investigate the design space of high-T thermal energy storage concepts, and to propose the design of a representative small-scale prototype to be tested in our labs. - Mechanical Engineering
- ETH Zurich (ETHZ), Master Thesis
| We’re looking for a driven student, passionate about innovation in healthcare, ready to take on exciting challenges in brain imaging and AI.
Near-infrared spectroscopy (NIRS) is widely utilized in clinical and research settings to measure tissue oxygenation (StO₂), especially in the brain. While NIRS offers a non-invasive approach to understanding brain oxygenation, measurements in adults are often impacted by extracerebral tissues, like the skull and skin, which can interfere with obtaining an accurate value for brain oxygenation. Traditionally, NIRS data is analyzed through iterative algorithms based on diffuse optical models, which require substantial computational resources. In this project, we explore the potential of artificial neural networks (ANNs) to replace or complement these traditional analytical methods. ANNs, through their adaptive learning, may offer faster, efficient solutions while maintaining or even improving accuracy, thereby opening up new possibilities in brain oxygenation monitoring.
- Biomedical Engineering, Information, Computing and Communication Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| Various strategic interactions involve hierarchical decision-making processes, where one entity leads and others react accordingly. Stackelberg games provide a mathematical framework to model such scenarios, capturing the dynamics between a leader and multiple followers. However, in many real-world applications of such structures, we often only observe the response of the followers but we are unsure about the optimization problem that the followers are optimizing. This research
question, also known as inverse game theory, poses significant challenges, further complicated by noisy observations, bounded rationality, and many more. This project aims to develop methodologies for inferring the utility functions of followers in such scenarios by leveraging observed actions and partial knowledge of their parameters, working on Swissgrid energy market data provided by the MAESTRO project.
- Applied Economics, Applied Statistics, Numerical Analysis, Optimisation, Simulation and Modelling
- Master Thesis
| Modern buildings' HVAC (Heating, Ventilation, and Air Conditioning) systems incorporate a complex network of sensors, control units, and actuators working in coordination across multiple levels to ensure optimal operation. Key building control tasks include regulating air quality, temperature, and ventilation. Achieving efficient building control is critical for occupant comfort and meeting energy efficiency and sustainability targets. Due to the substantial energy consumption associated with buildings, enhancing operational efficiency by leveraging data analytics for control has a high potential for energy savings and sustainability gains. Effective control strategies can, in many practical cases, significantly reduce CO2 emissions from buildings. - Control Engineering, Electrical Engineering, Interdisciplinary Engineering, Mechanical Engineering, Systems Theory and Control
- Master Thesis
| The chair of Software Systems Programming and Development (Asst.-Prof. Dr. Ronny Seiger, Prof. Dr. Barbara Weber) invites for applications for a PhD position on software architectures for cyber-physical systems (CPS). - Information Systems, Software Engineering
- PhD Placement
| The project will involve working with experimentally evolved communities of the bacterial human pathogens, Pseudomonas aeruginosa (PA), Staphylococcus aureus (SA), and Klebsiella pneumoniae (KP). These opportunistic pathogens are often isolated together in both chronic and acute infections of the lung, other organs, and skin in immunocompromised patients and are a leading cause of bacteremia. The aims of the project will be to better understand the nature of interactions between the focal pathogens when they have been evolved together in an infection mimetic growth medium. - Bacteriology, Microbial Ecology
- Master Thesis
| This project will investigate how the
assumption of rationality affects leader-follower dynamics in Stackelberg games, particularly focusing on the potential loss of the leader’s first-mover advantage when followers act irrationally. We will examine scenarios where followers employ non-credible threats, take into account empirical evidence of irrational behavior and frame communication noise as a form of bounded rationality among followers. The aim of the project is to show that followers can strategically exploit their ”irrationality” to diminish the leader’s influence and to propose new insights into strategic interactions where rationality cannot be assumed, with implications for policy-making and other leader-follower contexts. - Mathematical Economics, Operations Research, Optimisation
- Master Thesis
| The goal of this project is to develop a miniature milling mechanism that allows high-speed revolution (200K-450K rpm) of a milling tool.
- Engineering and Technology
- Master Thesis
| This project aims to investigate and implement a miniature robot milling trajectory planning and trajectory tracking control for tooth preparation. - Engineering and Technology
- Bachelor Thesis, Master Thesis
|
|