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!
Master Thesis/Semester Project/Master Project: Building a GenAI Pipeline for Student-Generated Animations
Drawing is a well‑established learning strategy, but it often falls short when it comes to representing how students visualize dynamic changes over time. Student‑created animations could address this gap, yet conventional software is usually too complex for everyday classroom use. To overcome this, we envision a platform that uses GenAI to automate the manual rendering and technical steps involved in animation. This allows students to focus entirely on the problem at hand rather than the mechanics of the software. You are tasked to build a multi-modal feedback loop between a student and a GenAI. The system should translate the conceptual understanding of the student into a dynamic animation through an iterative, co-constructive process. You are encouraged to experiment with vibe coding, but you are also expected to take responsibility for ensuring proper code quality control.
Keywords
Generative Artificial Intelligence (GenAI), Educational Technology (EdTech), Human-Computer Interaction (HCI), Full-Stack Development
Labels
Semester Project , Internship , Master Thesis
Description
Goal
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Published since: 2026-03-18 , Earliest start: 2026-03-18
Applications limited to Department of Computer Science , Department of Informatics (IFI) , ETH Zurich , University of Zurich
Organization Research on Learning and Instruction
Hosts Nigsch Isabel , Nigsch Isabel
Topics Information, Computing and Communication Sciences , Engineering and Technology , Behavioural and Cognitive Sciences
Hierarchical reinforcement learning for modular manufacturing plant control
Downtime of assembly manufacturing lines is estimated to cost $2.2M per hour, with the overall cost of unplanned downtime is estimated to exceed $1.4T 50B $. FORGIS, an ETH AI Center spin-off, recently raised 4.5M CHF to solve this problem by optimizing manufacturing assembly line control. To develop their method FactoryCell, a modular factory assembly line has been installed at their facilities in Zürich. During this project, we aim to build a hierarchical control scheme leveraging model-based reinforcement learning to control FactoryCell. The first part of the project will revolve around modeling the manufacturing machines through system identification and Neural ODEs. Once the machines have been modeled, the aim will be to design a hierarchical controller able to control the entire manufacturing plant. The controller will then be benchmarked using classical control techniques such as Model Predictive Control.
Keywords
Reinforcement, learning, manufacturing, robotics, control
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Master Thesis , ETH Zurich (ETHZ)
Description
Goal
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Published since: 2026-03-10 , Earliest start: 2026-04-16 , Latest end: 2026-09-16
Applications limited to ETH Zurich
Organization ETH Competence Center - ETH AI Center
Hosts Rimoldi Alessio
Topics Engineering and Technology
Towards Adaptive Auditory Neural-Network Based Prosthesis
This project focuses on developing targeted sound extraction algorithms for audio prosthesis using audio or audio and vision input.. You will design and implement signal processing techniques and machine learning models tailored for hearing aids or embedded audio devices. The work involves optimizing neural architectures, exploring trade-offs between computation cost and accuracy, and validating the system using real-world audio and visual data or data collected from augmented reality glasses.. Qualifications: Experience with Python, signal processing, and training neural networks, preferably also experience with embedded audio algorithms, VR/AR Application process: Write to us about your interests, 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 thesis projects.
Keywords
audio signal processing, deep neural networks, efficient networks, audio prosthesis, VR/AR, hearing aids
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Semester Project , Bachelor Thesis , Master Thesis , Other specific labels , ETH Zurich (ETHZ)
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Published since: 2026-02-03 , Earliest start: 2025-11-17
Applications limited to ETH Zurich , University of Zurich
Organization ETH Competence Center - ETH AI Center
Hosts Liu Shih-Chii
Topics Information, Computing and Communication Sciences , Engineering and Technology
Crowd Simulation for RL Robot Navigation
This project focuses on improving RL-based social navigation by creating a simulation framework with diverse and realistic human behaviors. Current RL methods often train on simplified crowds where all pedestrians behave similarly, which limits generalization in real-world environments.
Keywords
RL, Robot Navigation
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Master Thesis
Description
Goal
Contact Details
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Published since: 2026-01-26 , Earliest start: 2026-09-01 , Latest end: 2026-09-30
Applications limited to ETH Zurich
Organization Spinal Cord Injury & Artificial Intelligence Lab
Hosts Alyassi Rashid , Alyassi Rashid , Alyassi Rashid
Topics Engineering and Technology
Learning-based Control and Motion Analysis of Biomimetic Tendon-driven Fish Robot
The student will use a provided simulation and reinforcement learning pipeline to identify and model a real robotic fish, train a control policy, deploy it on hardware, and compare its motion to biological swimming under real-world constraints.
Keywords
robotics, simulation, sim-to-real, underwater
Labels
Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2026-01-24 , Earliest start: 2026-02-16 , Latest end: 2026-11-01
Organization ETH Competence Center - ETH AI Center
Hosts Michelis Mike
Topics Information, Computing and Communication Sciences
Benchmarking Neural Surrogate Models for Computational Fluid Dynamics
Comparing various neural network surrogate models on computational fluid dynamics problems.
Keywords
surrogate modeling, deep learning, fluid simulation
Labels
Semester Project , Internship , Bachelor Thesis
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Published since: 2025-12-30 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization ETH Competence Center - ETH AI Center
Hosts Michelis Mike
Topics Information, Computing and Communication Sciences , Engineering and Technology , Physics
Iterative Optimization for 3D Computational Soft Swimmer Design
Extending an iterative surrogate model optimization framework to include soft bodies with fluid-structure interaction. Design optimization will then be shown in 2D and 3D on passive soft swimmers.
Keywords
surrogate modeling, deep learning, fluid simulation, optimization
Labels
Semester Project , Bachelor Thesis , Master Thesis
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Published since: 2025-12-30 , Earliest start: 2026-01-01 , Latest end: 2026-12-31
Organization ETH Competence Center - ETH AI Center
Hosts Katzschmann Robert, Prof. Dr. , Michelis Mike
Topics Mathematical Sciences , Information, Computing and Communication Sciences , Engineering and Technology
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: 2025-11-20 , 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