Semester and Thesis Projects
The ETH AI Center offers a wide range of semester and thesis projects for students at ETH Zurich, as well as other universities. Please see the list below for projects that are currently available.
How do you publish a thesis or semester project with the ETH AI Center?
- Academia: If you are affiliated with the ETH AI Center as faculty member, post- or doctoral fellow, please add the following affiliation to your Sirop account. If you tag your thesis project with this affiliation, it should appear in the list below.
- 'ETH Competence Center - ETH AI Center (ETHZ)'
- Industry: If you represent a company that has a corporate partnership with the ETH AI Center, please contact .
Need help?
- We provide a external page template for thesis projects accouncements that you can use for your upcoming project & upload to external page SiROP.
- Is your thesis project still missing from the list below? We are constantly adding new thesis projects that are available within the ETH AI Center.
- Are you a student? Check out our Semester and Thesis projects below!
Synthetic Data Generation for Automated Speech Recognition for Impaired Speech
Automatic Speech Recognition (ASR) for individuals with impaired speech is severely hampered by data scarcity. This project addresses this problem by developing a personalized Text-to- Dysarthric-Speech (TTDS) model to serve as an advanced data augmentation method. Unlike assistive technologies that aim to correct speech impairments, the primary goal here is to faithfully clone a speaker’s unique impaired speech patterns. Using state-of-the-art generative audio models (e.g., VITS), the system will learn to generate synthetic yet realistically impaired speech data from very few recordings. A key innovation will be to leverage phoneme uncertainty analyses from prior work to guide the synthesis process, enabling the targeted generation of more realistic phonetic deviations. This project is designed for a highly motivated, independent individual ready to take ownership of a challenging research topic.
Keywords
Automated Speech Recognition (ASR), Data Synthesis, Personalization, Scarce Data Availablity
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Semester Project , Master Thesis
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Published since: 2025-11-03 , Earliest start: 2025-11-18 , Latest end: 2027-02-03
Organization ETH Competence Center - ETH AI Center
Hosts Böhringer Roman
Topics Information, Computing and Communication Sciences
MSc Thesis and Short Project - Developing an XR Platform for Demonstrating Human Perceptual Adaptation and Brain Plasticity
Human perception actively adapts to continuous sensory input, allowing the brain to recalibrate and maintain accurate representations of the world. Optical illusions, phantom sensations, and visuomotor distortions provide unique insights into this adaptability. At the Life Science Learning Centre (UZH and ETH), such eects are currently demonstrated using physical setups. This Master’s short project will evaluate how Virtual Reality (VR) or Augmented Reality (AR) technologies could modernize and extend these neuroscience demonstrations. During this initial phase, you will explore commercially available systems and gain an understanding of the neuroscience behind perceptual illusions and adaptation. Once a feasible approach is identified, the prototype will be developed into a full implementation as part of a Master’s Thesis. This will include designing a behavioral experiment in which the XR solution is tested and evaluated with human volunteers. The overall goal is to enable users to experience visual and proprioceptive illusions interactively using immersive technology, ultimately contributing to educational and research applications in neuroscience and psychology.
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-11-03 , Earliest start: 2025-11-03 , Latest end: 2026-04-03
Organization ETH Competence Center - ETH AI Center
Hosts Böhringer Roman
Topics Engineering and Technology , Behavioural and Cognitive Sciences
Personalizing Automatic Speech Recognition Models for Non-normative Speech using MoE
Automatic Speech Recognition (ASR) for individuals with impaired speech remains a significant challenge due to extreme data scarcity and high acoustic variability. This project builds upon a successful, data-efficient Bayesian personalization framework (Variational Inference Low-Rank Adaptation, VI-LoRA), coming from our team. This project aims to further increase personalised ASR performance by exploring the implementation of Hydra VI-LoRA. Hydra VI- LoRA, is a novel Mixture-of-Experts (MoE) architecture capable of learning specialized adapters for different speakers or phonetic challenges within a single model. This project is designed for a highly motivated and independent student eager to take ownership of a cutting-edge research topic.
Keywords
Automated Speech Recognition (ASR), Mixture of Experts, Personalization, data scarcity
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Semester Project , Master Thesis
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Published since: 2025-11-03 , Earliest start: 2025-11-15 , Latest end: 2027-04-01
Organization ETH Competence Center - ETH AI Center
Hosts Böhringer Roman
Topics Information, Computing and Communication Sciences
Toward Human-Like Perception with Multisensory AR Glasses
How can we give machines a perceptual experience closer to that of humans — fast, continuous, and adaptive? At the Sensors Group at the Institute of Neuroinformatics, we explore bio-inspired sensing and computation to bring human-like perception to real-world devices. In this project, you will work with state-of-the-art multimodal sensing devices, including AR glasses (RGB cameras, IMU, audio) and bio-inspired event cameras. Together, these sensors offer a unique opportunity to study how multiple sensory modalities can be fused to perceive and interpret the world in real time. Your research will advance real-time sensor fusion, embodied perception, and neural-inspired computation, forming the foundation for future research in AR scene understanding and augmented human-environment interaction.
Keywords
Multimodal Perception • Sensor Fusion • Augmented Reality • Event-Based Vision • Real-Time Systems
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Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-10-17 , Earliest start: 2025-10-20 , Latest end: 2026-02-28
Applications limited to ETH Zurich , University of Zurich
Organization ETH Competence Center - ETH AI Center
Hosts Liu Shih-Chii , Li Zixiao
Topics Information, Computing and Communication Sciences , Engineering and Technology
(For ETH students) Master’s Thesis in cooperation with Lufthansa Group (LHG): Improving Reliability and User-Centered Evaluation of Retrieval-Augmented Generation (RAG) Systems in the Aviation Airline TechOps Domain
Retrieval-augmented LLMs offer promising capabilities for supporting aircraft troubleshooting in airline technical operations (Airline TechOps). They can help engineers access large volumes of manuals, fault reports, and historical data quickly and efficiently. A previous thesis in cooperation with Lufthansa CityLine developed a framework to evaluate the performance of a RAG system for Airline TechOps use cases and identified issues influencing the system’s reliability. The feedback collected from engineers revealed persistent challenges: incorrect or missing references to technical manuals, hallucinated or irrelevant responses, inconsistent formatting, and too long or generic summaries. While some outputs were useful, user trust and adoption remain limited due to these issues. This thesis aims to address these shortcomings by designing evaluation and improvement methods that better align the RAG system with user needs, increasing its reliability and usability in the safety-critical contexts of aviation.
Keywords
LLM, RAG, Evaluation, NLP, user-centric
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-09-29 , Earliest start: 2025-10-15 , Latest end: 2026-06-30
Organization ETH Competence Center - ETH AI Center
Hosts Akhtar Mubashara
Topics Information, Computing and Communication Sciences
Engineering Wearable Platforms
This project focuses on the design, engineering, and prototyping of next-generation wearable technologies. The goal is to create microfluidic platforms that enable automatic sampling, reliable fluid control, and seamless integration of diverse sensing modalities.
Keywords
Wearables, materials, microfluidics
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Internship , Master Thesis , Student Assistant / HiWi
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Published since: 2025-09-16 , Earliest start: 2025-09-21 , Latest end: 2026-09-01
Applications limited to Balgrist Campus , ETH Zurich , University of Zurich , EPFL - Ecole Polytechnique Fédérale de Lausanne , Empa , Zurich University of Applied Sciences
Organization ETH Competence Center - ETH AI Center
Hosts Dosnon Lucas
Topics Engineering and Technology
RA position: CoMind: Joint Interaction Understanding through Intent Prediction
Understanding human intent and anticipating future actions is crucial for enabling seamless human-robot interaction in real-world tasks. Intention prediction not only facilitates smoother collaboration with robots but also represents a fundamental challenge in the development of intelligent systems. In this project, we aim to collect a dedicated interaction dataset using the Meta Aria glasses and use the collected data to develop multimodal learning models that are capable of predicting human intent and anticipating future behaviors across a variety of tasks.
Keywords
egocentric vision, intent prediction, anticipation, multimodal learning
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Semester Project , Master Thesis , Student Assistant / HiWi , ETH Zurich (ETHZ)
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Published since: 2025-07-14 , Earliest start: 2025-07-14
Organization Computer Vision and Geometry Group
Hosts Wang Xi , Kaufmann Manuel , Chen Jiaqi , Gavryushin Alexey
Topics Information, Computing and Communication Sciences
Brain Machine Interface - Visual Neuroprosthetics
Join the Sensors Group at the Institute of Neuroinformatics (INI) to develop next-generation visual neuroprosthetics and advance the future of brain-machine interfaces! Topics Include: - develop neural networks that learn optimal stimulation patterns - utilize recurrent/spiking neural networks for creating stimulation patterns - implementing real-time computation on embedded platforms (FPGA, uC, jetson) - investigating closed-loop control strategies for electrical brain-stimulation Application process: Write us about your interests, include CV and transcript, and we can arrange a meeting. We can supervise students from UZH and ETH. We offer semester projects as well as bachelor's and master's theses projects.
Keywords
brain machine interface, visual neuroprosthetics, bmi, neural networks, Real-time computation, Embedded platforms, FPGA, Closed-loop control, neural recording analysis, Control systems, Deep learning, Verilog, Vivado, hls4ml, Hardware acceleration, Jetson, VR, Android, Unity/Blender
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2025-06-17 , Earliest start: 2025-02-01 , Latest end: 2026-12-31
Applications limited to ETH Zurich , University of Zurich
Organization ETH Competence Center - ETH AI Center
Hosts Moure Pehuen , Liu Shih-Chii , Hahn Niklas
Topics Information, Computing and Communication Sciences , Engineering and Technology
Learning a Simulation-Trained Safety Critic for Safe Online Learning in Legged Robots
This project focuses on developing a safety critic—a model that predicts the safety of robot states—to enable safe online learning on legged robotic hardware. The safety critic is trained in simulation using labeled data from diverse robot behaviors, identifying states likely to lead to failure (e.g., falls). Once trained, the critic is deployed alongside a learning policy to restrict unsafe exploration, either by filtering dangerous actions or shaping the reward function. The goal is to allow adaptive behavior on real hardware while minimizing physical risk.
Keywords
safety critic, online learning
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Master Thesis
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Published since: 2025-06-16
Organization Robotic Systems Lab
Hosts Li Chenhao , Li Chenhao , Li Chenhao , Li Chenhao
Topics Engineering and Technology