Projects
At the Center for Project-Based Learning (PBL), we offer hands-on projects that allow students to apply their knowledge, develop new skills, and collaborate on real-world challenges. Below, you’ll find our current projects open for applications. Whether you’re looking to innovate, prototype, or conduct cutting-edge research, this is your chance to get involved!
Interested in past projects? Click here to explore previous student work and get inspired.
Modular Multi-Form-Factor ExG Sensing Platform
This master project aims to design, prototype, and evaluate a modular wearable platform that can acquire and process multiple ExG signal types (EEG, EOG, EMG, ECG) using a shared electronics and firmware architecture.
Keywords
PCB, Biosignals, EEG, EOG, Electronics
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-12-12
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Polonelli Tommaso
Topics Engineering and Technology
Adaptive Intelligent Front-End for Dry ExG Sensing Systems
Despite these successes, both systems relied on fixed analog front-end configurations and task-specific ML models, optimized only for the given hardware and application. However, in practical wearable devices, dry-electrode impedance, skin condition, and body-location variability demand a self-adaptive sensing architecture. This project addresses that next step: developing an adaptive, intelligent front-end capable of automatically adjusting its analog and digital parameters to ensure stable, high-quality ExG acquisition across modalities and conditions. This work directly supports Datwyler’s roadmap to evolve from electrode supplier to provider of complete reference architectures for dry ExG sensor solutions.
Keywords
PCB, Firmware, Biosignals, Analogic Signals, Electronics
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-12-12
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Polonelli Tommaso
Topics Engineering and Technology
Perceptive Whole-Body Control for Mobile Manipulation on Quadrupedal Robots
Whole body control is an essential part of mobile manipulation on quadruped robots as it allows to exploit all the degrees of freedom of the robot to execute tasks. Recent works have shown great success in training such policies in simulation using reinforce- ment learning, but most of these works develop "blind" controllers that are not able to perceive their surroundings. This poses a severe limitation as many potential use cases of quadruped manipulation would involve task execution in tight spaces, such as collapsed buildings, that offer limited space for maneuvering. Hence, the goal of this project is to develop a perceptive whole-body controller that uses depth sensors to enable quadruped robots to operate in confined spaces.
Keywords
Robotics, Reinforcement Learning, Legged Robotics, Mobile Manipulation
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Master Thesis
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Published since: 2025-12-10
Organization Center for Project-Based Learning D-ITET
Hosts Boyle Liam
Topics Information, Computing and Communication Sciences , Behavioural and Cognitive Sciences
Nested Learning for Resource-Constrained Models: Designing Multi-Timescale Optimizers for Efficient Adaptation
This thesis investigates whether Nested Learning (NL), a recently proposed paradigm in which models incorporate multiple nested optimization processes operating at different time scales, can be engineered to function as an efficient learning mechanism under strict computational and memory constraints.
Keywords
Joint-Embedding Predictive Architectures, World Models, Efficient AI Computing
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-12-06 , Earliest start: 2026-01-05 , Latest end: 2026-12-31
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Bonazzi Pietro
Topics Mathematical Sciences , Engineering and Technology
IoT System for Spatial Monitoring and Perimeter Surveillance
This project aims to develop a modular IoT sensing device designed specifically for surveillance and perimeter monitoring applications. The system will collect targeted environmental and security-related data from various sensors(e.g. vision, event-vision, audio, vibration, etc) and will feature both hardware and software modularity for easy expansion. Wireless communication interfaces will enable remote monitoring, configuration, and real-time alerts. Project tasks include electronic circuit design, embedded firmware development, IoT platform integration, and comprehensive prototype testing under realistic operating conditions.
Keywords
Embedded System, IoT, PCB, Firmware, Sensing, DAQ
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Energy Harvesting (PBL) , Semester Project , Bachelor Thesis , Master Thesis , Microcontroller (PBL) , PCB Design (PBL) , Software (PBL) , Firmware (PBL) , Wearables (PBL)
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Published since: 2025-12-01 , Earliest start: 2024-01-03
Organization Center for Project-Based Learning D-ITET
Hosts Mayer Philipp
Topics Information, Computing and Communication Sciences , Engineering and Technology
Miniaturized and lightweight Radars for Autonomous nano-Drones
This project focuses on the Unmanned Autonomous Vehicle class, characterized by a few centimeters in diameter, tens of grams in weight, and a few Watts total power consumption. In this field, Crazyflie (https://www.bitcraze.io/) is one of the best commercial products, providing a versatile quadcopter for research and education.
Keywords
UAV, robotics, nano drones, radars, sensors
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-12-01 , Earliest start: 2024-01-11 , Latest end: 2024-12-31
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Polonelli Tommaso
Topics Information, Computing and Communication Sciences , Engineering and Technology
Ultra Low Power Eye Tracking with QVar Sensors for Smart Glasses
Smart wearables is a growing market, and eye-tracking is a must for user interaction with devices such as Smart Glasses and AR/VR Headsets. Current solutions like image recognition require high power consumption and elevate computational demand. Thus, extending battery life and reducing the footprint of such systems is a must and can be achieved by using low-power QVar sensors, a novel and unique electrostatic sensors, and optimized tiny Machine Learning able to run on resource-constrained MCUs.
Keywords
smart glasses, sensors, eye tracking, wearable, IoT
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-12-01 , Earliest start: 2024-01-11 , Latest end: 2024-12-31
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Polonelli Tommaso
Topics Information, Computing and Communication Sciences , Engineering and Technology
Design for an Ultra-Low Power Air Quality and Occupancy Monitoring Node
We are developing a cutting-edge, battery-powered, and energy-harvesting monitoring system to provide real-time data on indoor air quality (AQ) and occupancy. This data is crucial for smart building automation, enabling intelligent adjustments to ventilation, heating, and cooling systems to reduce energy waste without compromising occupant comfort. Smart building technologies have the potential to cut energy consumption by up to 30%.
Keywords
IoT, PCB, Firmware, MCU, sensors
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-12-01
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Polonelli Tommaso
Topics Information, Computing and Communication Sciences , Engineering and Technology
Domain Transformation for Radar-Based Vital Sign Monitoring using Attention Mechanism
This project aims to replicate a domain transformation approach for radar vital sign data and adapt it to extend the vital signs retrieved from the radar data.
Keywords
Radar, Biomedical, Machine Learning, Neural Networks
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Semester Project , Master Thesis , Software (PBL) , Machine Learning (PBL) , Biomedical (PBL) , Radars (PBL)
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Published since: 2025-12-01 , Earliest start: 2024-01-31 , Latest end: 2024-08-01
Applications limited to Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Marty Steven
Topics Information, Computing and Communication Sciences
Roboracer Flagship Project @ ForzaETH
Develop and implement state-of-the-art robotic algorithms in the context of autonomous racing for your thesis. You have the opportunity to join the ForzaETH racing team and test your work in the actual RoboRacer (formerly F1TENTH) racing competition, hosted at prestigious robotic conferences.
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Autonomous Driving (PBL) , Semester Project , Bachelor Thesis , Software (PBL) , Machine Learning (PBL) , Computer Vision (PBL) , Robotics (PBL)
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Published since: 2025-12-01 , Earliest start: 2026-02-16
Organization Center for Project-Based Learning D-ITET
Hosts Brunner Maurice , Ghignone Edoardo
Topics Information, Computing and Communication Sciences , Engineering and Technology
Self-Supervised Multi-Modal Terrain Mapping for Autonomous Quadrupedal Robots
This thesis investigates the integration of compact millimeter-wave radars into the perception stack of a resource-constrained quadrupedal robot, enabling self-supervised multi-modal terrain mapping through fusion with vision-based sensing and improving autonomous navigation robustness in complex and unstructured 3D environments.
Keywords
Quadrupedal Robots, State Estimation, Sensor Fusion, Robot Learning
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Master Thesis , Radars (PBL) , Robotics (PBL)
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Published since: 2025-12-01 , Earliest start: 2026-02-01 , Latest end: 2026-10-01
Organization Center for Project-Based Learning D-ITET
Hosts Plozza Davide , Brunner Maurice
Topics Information, Computing and Communication Sciences , Engineering and Technology
Non-invasive remote tracking and vita sign monitoring with low-power and miniaturized FMCW radars
In many applications, from robotics to home and industry automation, localizing objects and people is an essential feature. Outdoor localization is generally performed using GNSS, GPS, which does not work in indoor scenarios. In this applications, systems like BLE and UWB tag-anchor system are commonly implemented. However, these systems involve the necessity of carrying a battery supplied tag together with the tracked object. This limits the applicability to human and/or animals, that are not happy to wear 24/7 electronic devices, or it can increase the system cost for industrial products.
Keywords
Radars, FMCW, Low Power, Sensors, Digital Signal Processing
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Semester Project , Master Thesis
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Published since: 2025-12-01 , Earliest start: 2026-02-02
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Polonelli Tommaso
Topics Engineering and Technology
High-Precision Localization in Distributed Sensor Networks
This project aims to develop embedded sensor nodes capable of centimeter-precise localization within a sensor network. The system will consist of multiple GNSS RTK-enabled nodes exchanging information grid-independently via wireless communication. The tasks include circuit design, firmware development, IoT integration, and prototype testing.
Keywords
Embedded System, IoT, PCB, Firmware, Sensing, GNSS, LoRa
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Energy Harvesting (PBL) , Semester Project , Bachelor Thesis , Master Thesis , Microcontroller (PBL) , PCB Design (PBL) , Software (PBL) , Firmware (PBL) , Wearables (PBL)
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Published since: 2025-12-01 , Earliest start: 2026-01-01
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Mayer Philipp
Topics Information, Computing and Communication Sciences , Engineering and Technology
Software & AI Engineer — Build the Future of Digital Urology (UROPATCH, ETH Zurich)
Join us at ETH Zurich to build the intelligent software and analytics engine behind UROPATCH, the first wearable capable of continuous, real-time bladder monitoring. Together with our partners at the Swiss Paraplegic Center (SPZ), we are revolutionising digital urology by turning raw physiological signals into meaningful clinical insights. You’ll work across data engineering, machine learning, mobile integration, and IoT cloud pipelines, developing algorithms that learn from real patients and reshape how bladder and kidney care is delivered worldwide. If you want to push software, data science, and MedTech impact to the next level — this is your challenge.
Keywords
digital urology, personalisation, data science, data analysis, Iot
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ETH Zurich (ETHZ)
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Published since: 2025-12-01 , Earliest start: 2026-03-02
Organization Center for Project-Based Learning D-ITET
Hosts Dheman Kanika
Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences
Semantic Segmentation for Online 3D Scene Graphs
3D scene graphs are becoming a vital part of many embodied AI tasks, such as Object Goal Navigation (OGN). The fidelity of such scene graphs is reliant on high-quality semantic segmentations of the observed scene. While recent advances in multi-modal foundation models have seen powerful segmentation models emerge, it remains to be seen how these models can be adapted to run in real-time on resource-constrained devices such as mobile robots.
Keywords
Robotics, Computer Vision, Segmentation, Embodied AI
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Semester Project , Master Thesis
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Published since: 2025-12-01 , Earliest start: 2026-02-02 , Latest end: 2026-09-30
Organization Center for Project-Based Learning D-ITET
Hosts Boyle Liam
Topics Information, Computing and Communication Sciences
Advance digital biomarkers for women’s health using ML, deep learning, and probabilistic modelling.
We are building a digital ecosystem that seamlessly integrates multimodal data from consumer wearables and smartphones with advanced machine learning and graph-based analytics. This platform will generate insights that empower women to understand hormonal transitions, detect meaningful physiological changes, and receive data-driven support throughout perimenopause and beyond. Joining the project means working at the forefront of digital health, women’s health equity, and AI-driven precision medicine—with the opportunity to help redefine a domain that has long lacked scientific visibility and technological innovation.
Keywords
women's health, FemTech, menopause, hormonal tracking, digital health
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-12-01 , Earliest start: 2026-01-30
Organization Center for Project-Based Learning D-ITET
Hosts Dheman Kanika
Topics Medical and Health Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Embedded IoT Engineer — Bring Intelligent Medical Devices to Life (UROPATCH)
Join us at ETH Zurich to build UROPATCH, a next-generation wearable medical device that measures human physiology in real time. Together with our clinical partners at the Swiss Paraplegic Center (SPZ), we are revolutionising digital urology and creating life-changing solutions for patients. You’ll work at the intersection of embedded systems, biosensing, and digital health, designing firmware that runs on cutting-edge hardware and directly impacts patient lives. If you want to shape the future of MedTech and solve problems no one has solved before — this is your challenge.
Keywords
wearable sensing, digital urology, Medtech, Internet of things
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ETH Zurich (ETHZ)
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Published since: 2025-12-01 , Earliest start: 2026-02-02
Applications limited to Balgrist Campus , ETH Zurich , Wyss Translational Center Zurich , University of Zurich , IBM Research Zurich Lab
Organization Center for Project-Based Learning D-ITET
Hosts Dheman Kanika
Topics Medical and Health Sciences , Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
Sim-to-Real Reinforcement Learning on Robot Platforms
However, the mostly used simulation algorithms are different from the most effective real-world algorithms, and this thesis would address this gap, investigating methods to achieve sim-to-real transfer of policies, with possibly different training algorithms.
Keywords
robot learning, Sim-to-real
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Autonomous Driving (PBL) , Master Thesis , Software (PBL) , Machine Learning (PBL) , Robotics (PBL)
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Published since: 2025-12-01 , Earliest start: 2026-02-16
Applications limited to Department of Information Technology and Electrical Engineering , Department of Computer Science , Department of Mechanical and Process Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Plozza Davide , Ghignone Edoardo
Topics Engineering and Technology
Boolean Neural Networks: Implementation and Benchmarking on MNIST and CIFAR-10
This project focuses on the design and development of a functional implementation of the Boolean Logic Deep Learning (BOLD) framework [1,2], a recently proposed method that enables training deep neural networks natively in the Boolean domain.
Keywords
Neuro-Symbolic AI, Efficient Deep Learning, Image Classification.
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-11-27 , Earliest start: 2025-11-30 , Latest end: 2026-12-31
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Bonazzi Pietro
Topics Mathematical Sciences , Engineering and Technology
Ultrasound measurement of microbubble stiffness for in situ detection of protease activity in clinical settings
A new kind of gas-filled microbubble enables the detection of protease activity by using ultrasound imaging techniques. The main goal of this work is to develop a setup that can reliably be used to measure the stiffness of microbubbles, first in a microbubble solution, and then in a model built to simulate the vasculature of a mouse.
Keywords
Ultrasound imaging techniques, microbubbles, signal processing, modeling, analog and digital filter design, circuit design
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Semester Project , Master Thesis
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Published since: 2025-11-26
Applications limited to Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Villani Federico
Topics Engineering and Technology
Development Of An FPGA-Based Optoacoustic Image Reconstruction Platform for Clinical Applications
Optoacoustic (OA) imaging is a hybrid imaging method that enables deep tissue imaging with a high spatial resolution by combining optical illumination with ultrasound detection. The goal of this student project is to devise a parallel HW accelerator and explore different HLS code optimizations to achieve the best performance for OA image reconstruction on an FPGA in real-time.
Keywords
Digital design (HDL), biomedical imaging, image reconstruction, hardware acceleration, Linux
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-11-26
Applications limited to ETH Zurich , Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Villani Federico
Topics Engineering and Technology
Development Of A Test Bed For Ultrasonic Transducer Characterization (1 S/B)
The main goal of this work is to develop a modular system for the characterization and tuning of ultrasonic transducers both in hard- and software Due to the intended modularity of the system in soft- and hardware, we can guarantee a high flexibility of the setup. This means that the system can be adapted in operation for a wide variety of transducer types and setups.
Keywords
Ultrasound, Flexible transducers, Mixed signal design, Network theory, Simulation
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Semester Project , Bachelor Thesis
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Published since: 2025-11-26
Applications limited to Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Villani Federico
Topics Engineering and Technology
A FPGA-based data streaming system that enables real-time monitoring of cell culture and neuroactivities
This project aims to create a FPGA-based interface capable of streaming live data from a ETH-developed CMOS biosensor and monitor neuroactivity and cell cultures in real time
Keywords
Sensing, ADC, FPGA, High-performance computing, biosensing
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Semester Project , Master Thesis
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Published since: 2025-11-26
Applications limited to Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Villani Federico
Topics Engineering and Technology
Convolution Logic-Gate Networks for Image Classification
This thesis expands the CUDA implementation of convolutional differentiable logic gate networks introduced in [3], lifting the current depth-3 logic trees to depth-4 to enable more expressive logical reasoning within LGNs.
Keywords
Neuro Symbolic-AI, Image Classification
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-11-25 , Earliest start: 2025-11-30 , Latest end: 2026-09-30
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Bonazzi Pietro
Topics Mathematical Sciences , Engineering and Technology
Pushing Ultrasound to the Limit: 100 Gbit Ethernet Interface for Imaging at the Edge of Physics
Next-generation ultrasound (US) imaging demands exceptionally high data throughput, exceeding 90 Gbps for ultrafast applications. This project harnesses datacenter networking techniques—100G Ethernet, RDMA, and HPC-grade storage—to enable real-time streaming of raw US data at minimal latency. By integrating advanced optical interfaces and bypassing conventional CPU-intensive workflows, this project aims to achieve sustained multi-gigabit performance, paving the way for cutting-edge imaging analytics and machine learning within modern datacenter environments
Keywords
Datacenter networking, 100G Ethernet, HPC, RDMA, Infiniband, high-speed streaming, ultrasound, Linux kernel programming
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Semester Project , Master Thesis , FPGA (PBL) , Software (PBL) , Firmware (PBL) , Biomedical (PBL)
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Published since: 2025-10-09 , Earliest start: 2025-07-01
Applications limited to Department of Computer Science , Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Villani Federico
Topics Engineering and Technology
Design of a Quadrature Sampling Detector for Low Power Wireless On-Body Communication
Wearable, wirelessly connected sensors are pushing the limits of energy efficiency and miniaturization. Traditional RF front-ends remain one of the most power-hungry blocks, challenging the realization of truly low-power and unobtrusive body area networks. In this context, the Tayloe mixer (also known as a quadrature sampling detector) emerges as a highly efficient candidate for body-coupled communication, providing low-power frequency translation with minimal analog complexity. Its passive switching principle makes it especially attractive for ultra-low power receiver designs where linearity and selectivity are critical yet power budgets are constrained. Applied to Human Body Communication (HBC), the Tayloe mixer enables efficient down conversion of signals coupled through the body into baseband with reduced hardware overhead compared to conventional Gilbert-cell mixers, especially when it comes to off-the-shelf implementation. This approach paves the way for robust, energy-efficient wireless personal body area networks (WBANs), where physiological sensors can communicate securely and reliably with a central gateway device, such as a smartwatch, while minimizing battery consumption.
Keywords
Hardware design, Firmware design, analog circuit design, digital circuit design, signal processing, field evaluation
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Energy Harvesting (PBL) , Semester Project , Bachelor Thesis , Microcontroller (PBL) , PCB Design (PBL) , Biomedical (PBL) , Wearables (PBL)
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Published since: 2025-09-30
Applications limited to Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Schulthess Lukas
Topics Engineering and Technology
Closing the Gap between Events and RGB : Cross-Modal Distillation of DINOv3 Semantics into Event Encoders
Event cameras provide asynchronous, high-temporal resolution measurements with low latency, high dynamic range, and robustness to motion blur, making them promising for robotics and automotive applications. However, the lack of large annotated datasets limits supervised training. In contrast, RGB vision models such as DINOv3 [6] have been pretrained on massive image corpora and learn highly transferable features, Fig 1. This project aims to bridge the gap by distilling DINOv3 features from RGB inputs into a self-supervised event-based encoder, enabling the learning of rich event representations without labels.
Keywords
Computer Vision, Self-Supervised Representation, Multi-Modal Architecture, Knowledge Distillation
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-09-30 , Earliest start: 2025-09-30 , Latest end: 2026-06-30
Applications limited to ETH Zurich
Organization Center for Project-Based Learning D-ITET
Hosts Bonazzi Pietro
Topics Information, Computing and Communication Sciences , Engineering and Technology
Design of a Quadrature Amplitude Mixer for Low Power Wireless On-Body Communication
Wearable and body-attached sensors increasingly rely on efficient physical layer techniques to balance data rate, robustness, and power consumption. While many HBC (Human Body Communication) systems to date focus on simple modulation schemes, higher spectral efficiency becomes essential as the number of sensors and transmitted features grows. Quadrature Amplitude Modulation (QAM) offers a compact constellation design enabling higher data throughput within limited bandwidths, making it an attractive option for body-coupled communication channels. The availability of off-the-shelf QAM modulators further accelerates prototyping and evaluation, reducing the barrier for system-level demonstrations. In the context of Human Body Communication, integrating such modulators provides a practical path toward assessing trade-offs between data rate, energy efficiency, and channel robustness in real-world conditions. Leveraging ready-made hardware reduces the design overhead of RF front ends, allowing the focus to shift toward system optimization, channel characterization, and advanced signal processing for body area networks (WBANs).
Keywords
Hardware design, Firmware design, analog circuit design, digital circuit design, signal processing, field evaluation
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Semester Project , Bachelor Thesis , ETH Zurich (ETHZ)
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Published since: 2025-09-30
Applications limited to Department of Information Technology and Electrical Engineering
Organization Center for Project-Based Learning D-ITET
Hosts Schulthess Lukas
Topics Engineering and Technology