This project aims to collect diverse forehead PPG datasets using a newly developed device, to evaluate variability across populations and sensor placements and, to explore their impact on signal quality. You will apply classical signal processing and machine learning methods to extract reliable MRI triggers from the PPG signal to statistically quantify the pulse arrival time (PAT) and its variability. If time permits, you may further investigate the extraction of respiratory-modulated components from the PPG waveform. - Artificial Intelligence and Signal and Image Processing, Biomechanical Engineering, Electrical Engineering, Optometry
- Bachelor Thesis, Semester Project
|
Für den Hochwasserschutz im Oberpinzgau soll eine Alternative zum vom Land Salzburg erstellten Projekt erarbeitet werden. In einer Machbarkeitsstudie wird ein Entlastungsstollen in den bestehenden Speicher Durlassboden inklusive Wasserkraftnutzung geprüft. - Water and Sanitary Engineering
- Master Thesis, Semester Project
|
This thesis allows you to contribute to our research on high-temperature heat pumps with refrigerant mixtures. Heat pumps have the potential to decarbonize substantial shares of industrial heat supply and with refrigerant mixtures the efficiency and flexibility could be increased. However, critical challenges remain and are yet to be researched, one of which is the knowledge gap around lubrication.
In your thesis, you will assess the lubrication challenge by developing and using thermodynamic models, thereby enabling potential issues in an early development stage. - Fluidization and Fluid Mechanics, Mechanical Engineering, Process Control and Simulation
- Master Thesis
|
Investigate how best to unite Koopmans and Perdew-Zunger self-interaction corrections for electronic structure calculations. - Theoretical and Computational Chemistry, Theoretical and Condensed Matter Physics
- Master Thesis, Semester Project
|
Investigate how best to unite Koopmans and Hubbard corrections for electronic structure calculations. - Theoretical and Computational Chemistry, Theoretical and Condensed Matter Physics
- Master Thesis, Semester Project
|
Develop a plugin for the Jupyter-based AiiDAlab Quantum ESPRESSO app focused on calculating the work function of material surfaces. Ideal for students aiming to apply their coding skills and scientific knowledge to contribute to scientific software in material science research. - Software Engineering, Theoretical and Condensed Matter Physics
- Master Thesis, Semester Project
|
This project uses Visual Language Models (VLMs) for high-level planning and supervision in construction tasks, enabling task prioritization, dynamic adaptation, and multi-robot collaboration for excavation and site management.
prioritization, dynamic adaptation, and multi-robot collaboration for excavation and site management - Information, Computing and Communication Sciences
- Master Thesis, Semester Project
|
Recent advancements in AI, particularly with models like Claude 3.7 Sonnet, have showcased enhanced reasoning capabilities. This project aims to harness such models for excavation planning tasks, drawing parallels from complex automation scenarios in games like Factorio. We will explore the potential of these AI agents to plan and optimize excavation processes, transitioning from simulated environments to real-world applications with our excavator robot. - Engineering and Technology
- Master Thesis, Semester Project
|
This project aims to develop heat-resistant magnet-hydraulically amplified (MHA) soft actuators for high-performance wearable haptic devices or soft robotic systems. MHA actuators use an internal electromagnet and external permanent magnet embedded in a thin-film pouch to generate strong, high-frequency actuation forces by displacing water. While existing MHA actuators demonstrate promising capabilities such as robust operation in both air and water, their performance is limited by heat buildup within the membrane, reducing operational time. To address this limitation, the project proposes the use of heat-resistant materials in the actuator's construction. The work includes material selection, actuator fabrication using heat sealing or adhesive bonding methods, and comprehensive characterization of actuation performance (force, frequency, displacement, and repetition). Ultimately, the project will explore multi-dimensional actuator designs and integrate them into robotic systems such as wearable haptics and underwater devices. The work will be conducted at the Laboratory of Sustainability Robotics at Empa in collaboration with EPFL. - Engineering and Technology
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
|
We invite applications for a PhD position in the field of theoretical condensed matter physics, to join our research group (see https://sites.google.com/view/schueler-research-group/home) at the Paul Scherrer Institute and the University of Fribourg in Switzerland. The successful candidate will work on the project “Steering Dynamical Material Properties by Controlling Coherent Processes”, which aims to uncover novel ways of controlling quantum materials using through strong laser pulses. - Theoretical and Condensed Matter Physics
- PhD Placement
|
