Open theses and project topics
Details about the currently avaliable topics can be found on SiROP. The categories (Bachelor Thesis, Master Thesis and Semester Project) are primarily recommendations. Depending on the topic, it might be possible to adapt the scope to make it suitable for a different type of thesis/project.
Implementation of factor graph optimization in RTKLIB for enhanced GNSS positioning
Traditional Global Navigation Satellite System (GNSS) positioning algorithms mostly rely on the Extended Kalman Filter (EKF). While EKF is efficient in real-time applications, it has limitations, particularly in handling complex, nonlinear systems and large amounts of data. In recent years, Factor Graph Optimization (FGO) emerged as a more flexible and robust alternative. FGO represents the GNSS problem as a graph where variables (e.g., positions, velocities) are connected by factors (e.g., observations, motion models). Unlike EKF, FGO does not rely on sequential processing of data, allowing for more accurate, batch-based optimization of all variables simultaneously. This holistic approach can more effectively integrate various data sources and detect outliers, promissingly leading to improved performance, particularly in complex environments.
Keywords
Factor graph optimization, FGO, GNSS, RTKLIB
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-18 , Earliest start: 2025-01-01 , Latest end: 2025-09-30
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Development of a Visualization Tool for the Geopotential
Our lives on Earth are greatly influenced by the geopotential and its variation based on location, yet understanding it is often challenging. Therefore, a visualization tool is needed to show how changes in the Earth's shape and density affect the geopotential and its derivatives.
Keywords
Earth, Geopotential, Topography, Density anomaly
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-18 , Earliest start: 2025-01-01 , Latest end: 2025-09-30
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Simulation of VLBI Observations to the GENESIS Satellite
In 2028, the European Space Agency (ESA) will be launching the GENESIS mission, a groundbreaking initiative aimed at strengthening the connection between the four primary space geodetic techniques: Very Long Baseline Interferometry (VLBI), Global Navigation Satellite Systems (GNSS), Satellite Laser Ranging (SLR), and Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS). By providing space ties between these techniques, the GENESIS mission is expected to significantly enhance our understanding of Earth's shape, orientation, and gravity field, with widespread applications in geosciences, satellite positioning, and global navigation. In this thesis, we will focus on simulating potential VLBI observations of the GENESIS satellite, with a particular emphasis on studying scheduling-related topics. VLBI is a key technique for precise geodetic measurements, and the ability to effectively schedule observations of the GENESIS satellite is crucial for ensuring the success of the mission.
Keywords
GENESIS, simulation, VLBI, scheduling
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-16 , Earliest start: 2025-01-01 , Latest end: 2025-09-30
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Total Electron Content Derived from Smartphone GNSS Data for Ionosphere Monitoring
Global Navigation Satellite System (GNSS) is a well-recognized technique for ionosphere monitoring as additional signal contributions, that GNSS signals experience while traversing the ionosphere, are proportional to the total electron content (TEC). Currently, the operational and publicly available GNSS-based global ionosphere maps are exclusively derived from slant TEC (STEC) acquired using geodetic-grade receivers. GNSS observations that are potentially available at large scale from affordable smart devices, such as smartphones, could form an attractive source of information to improve the spatio-temporal resolution of GNSS data sets that are available for the analysis in this subject. Since 2016, Android phone users can access the raw GNSS data within smartphones. In addition, modern smartphones can track nowadays dual-frequency multi-GNSS signals, which makes extraction of carrier-phase-based VTEC possible. The Space Geodesy group at ETH Zurich initialized a crowdsourcing campaign in March 2022 for collecting smartphone observations from interested participants. Up to now, several TBs of smartphone GNSS data has been collected globally, which provides a great opportunity to study the potential of ionosphere modelling using smartphones.
Keywords
smartphone, GNSS, ionosphere monitoring, Toal Electron Content,
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-01-01 , Latest end: 2025-09-30
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
VLBI local baseline observations at the Geodetic Observatory Wettzell
To provide the geodetic infrastructure necessary for monitoring the Earth system and for Global Change research, an end-to-end redesign of the current geodetic VLBI operations called the VLBI Global Observing System (VGOS) is underway. In this framework, new radio telescopes are constructed worldwide. These new telescopes form an independent network that has to be linked to the legacy station network that already has a decade-long observing history. The Geodetic Observatory Wettzell is equipped with three radio telescopes, one 20-meter large legacy antenna that has been operational since 1983 and has contributed the most VLBI measurements worldwide, as well as two new 13-meter large VGOS-style telescopes. By using specially designed VLBI observation sessions between these three telescopes, it is possible to calculate the local baselines between the telescopes with highest accuracy, helping to link the legacy network to the VGOS network.
Keywords
VLBI, scheduling
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Bachelor Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-02-17 , Latest end: 2025-05-31
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Ionospheric electron content from Kalman filtering VLBI data
The ionosphere causes delays in radio signals, measured by Vertical Total Electron Content (VTEC). This project replaces the least squares (LSQ) algorithm with a Kalman Filter (KF) for more accurate and adaptable VTEC estimation from VLBI data under dynamic ionospheric conditions.
Keywords
Ionosphere, Kalman Filter, Stochastic Models, VLBI, VGOS.
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-01-01 , Latest end: 2025-09-30
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Detection of Atmospheric Rivers using GNSS Zenith Wet Delay
This project aims to develop a machine learning framework for detecting landfalling atmospheric rivers by using GNSS-derived zenith wet delays. The goal is to explore the feasibility and effectiveness of GNSS data for atmospheric river detection, potentially providing an additional, valuable tool for monitoring and prediction.
Keywords
atmospheric rivers, GNSS, zenith wet delay, machine learning
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-01-01 , Latest end: 2025-09-30
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Unveiling Digital Doping in GPS-Based Sports Competitions
In outdoor sports competitions, GPS data plays a crucial role in ensuring fairness by reflecting the true performance of athletes. However, manipulating raw GPX data to gain an unfair advantage, a practice known as "digital doping," is becoming increasingly common. While it is relatively easy to alter GPX data, detecting such fraud automatically remains a significant challenge. We are looking for a talented and motivated student to develop an algorithm capable of detecting GPX manipulation across various sports activities.
Keywords
GPS, GPX, outdoor competitions, sports activities, digital doping, fraud detection
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Semester Project , Bachelor Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-02-17 , Latest end: 2025-05-31
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology
Analysis of Digital Elevation Models for the CERN region
Thanks to dedicated space missions, such as SRTM and TanDEM-X, and the thorough processing of their observations, DEMs are generally available for all parts of the world with consistent accuracy and resolution. Furthermore, regional models for areas such as Europe or Switzerland are available, often derived from photogrammetry and dedicated radar flights. The absolute vertical error is typically reported to range from 1 m to 10 m. However, local errors can vary significantly depending on data restrictions, data collection methods, processing techniques, and local topographic conditions.
Keywords
Digital Elevation Model, relative errors, interpolation methods
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Bachelor Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-02-17 , Latest end: 2025-05-31
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Detection of Heavy Precipitation using GNSS Zenith Wet Delay
This project focuses on detecting heavy precipitation events by analyzing GNSS-derived zenith wet delays (ZWDs). The primary aim is to develop a machine learning framework that identifies patterns in ZWD time series to predict and detect heavy rainfall. The study will explore the potential of using ZWD as a direct predictor, providing an innovative approach to monitoring extreme weather conditions. Additionally, comparisons with predictions based on precipitable water vapour (PWV) will be carried out.
Keywords
heavy precipitation, GNSS, zenith wet delay, machine learning
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-01-01 , Latest end: 2025-09-30
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Automated VLBI data analysis pipeline
Over the past four decades, Very Long Baseline Interferometry (VLBI) data analysis has relied heavily on manual processing by various analysts, introducing inherent human biases and leading to inconsistent results. Automating VLBI analysis stands to revolutionize this field by not only simplifying the workflow but also significantly enhancing the quality and consistency of data interpretation.
Keywords
VLBI, data analysis, automation
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-01-01 , Latest end: 2025-09-30
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Analyzing and Exploiting Discrepancies in GNSS Solutions of Different Latencies with Machine Learning
The Nevada Geodetic Laboratory (NGL) is a global provider of GNSS solutions, offering data for approximately 20,000 stations worldwide. This includes both daily coordinate estimates and final solutions at a 5-minute resolution. While these final solutions typically exhibit a latency of about 2 weeks, the potential for additional solutions with shorter latency is recognized. Specifically, approximately 9,000 stations are poised for rapid solutions with a latency of around 24 hours, while 640 stations are designated for ultra-rapid solutions with a mere 2-hour latency. This extensive dataset presents a compelling opportunity for the application of machine learning (ML).
Keywords
Machine learning, GNSS, coordinate, troposphere, earth observation data
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Semester Project , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-02-17 , Latest end: 2025-05-31
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Calibration of Low-cost GNSS Antennas Using a Robot Arm
The Global Navigation Satellite System (GNSS) serves as a versatile tool in both scientific research and everyday life. However, the Phase Center Offset (PCO) and Variation (PCV) models of GNSS antennas are necessary for high-precision demanding applications, such as accurate attitude determination for nano satellites and the determination of station coordinates at mm-level. The robot arm-based calibration method can achieve absolute antenna calibration with full coverage of azimuth and elevation angles, and thus it is commonly employed for calibration of geodetic GNSS antennas. Nowadays, low-cost GNSS antennas are extensively utilized across various applications owing to their cost-effectiveness. However, such low-cost antennas typically lack the necessary PCO and PCV models, impeding their broader applications. The primary objective of this thesis is to calibrate of several low-cost GNSS antennas using a robot arm located on the rooftop of the HPV building at the ETH Hönggerberg campus. The antennas include products from taoglas and Frauenhofer designed for nano satellites, as well as several smartphone antennas. Additional experiments will be designed to validate and apply the obtained antenna models, with a focus on enhancing attitude determination, positioning accuracy and tropospheric delay determination. Successful completion of this thesis will equip the student the skills to operate the robot arm and a comprehensive understanding of the antenna calibration process.
Keywords
GNSS, antenna calibration, low-cost receiver, robot arm
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-01-01 , Latest end: 2025-09-30
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Detection of abnormal GNSS ephemerides with machine learning
A machine learning-based classifier will be developed to automatically detect abnormal GNSS ephemerides in daily broadcast ephemeris files.
Keywords
GNSS ephemeris, Machine learning, classification
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Semester Project , Bachelor Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-02-17 , Latest end: 2025-05-31
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Implementing a dynamic noise model to improve drone-based GNSS RTK tropospheric estimation
A dynamic tropospheric process noise model will be implemented into GNSS real time kinematic (RTK) algorithms to improve the estimation of drone-based GNSS zenith total delays (ZTDs).
Keywords
GNSS, drone, tropospheric process noise, atmospheric monitoring
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Semester Project , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-01-01 , Latest end: 2025-09-30
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Physics-Informed Neural Networks for Regional Geoid Modeling
This master thesis aims to explore the application of Physics-Informed Neural Networks (PINNs) to regional geoid modeling. PINNs integrate physical constraints into neural network architectures, offering a novel approach to accurate geoid modeling while maintaining interpretability.
Keywords
Regional geoid modeling, Gravity field, Physics-Informed Neural Network (PINN), Machine learning
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Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-01-01 , Latest end: 2025-09-30
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Quantifying contributions of individual water storage components to terrestrial water storage using a generative model
In this study, the student should develop a generative model to separate the total signals measured by GRACE(-FO) satellite missions into the contributions of individual water storage components. The results will be evaluated by comparing them with independent in-situ and satellite-based storage observations. The findings of this study will contribute to a better understanding of the terrestrial water cycle from a global perspective.
Keywords
Terrestrial water storage, GRACE(-FO), Hydrological model, Generative model
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Semester Project , Bachelor Thesis , Master Thesis , ETH Zurich (ETHZ)
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Published since: 2024-10-15 , Earliest start: 2025-01-01 , Latest end: 2025-09-30
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences
Gaussian Processes for Ionospheric Modelling
This thesis explores ionospheric modeling using GNSS and potentially VLBI data, employing Gaussian Process regression to address the non-linear behaviors and noise inherent in such data. The study focuses on enhancing predictive accuracy and the quantification of uncertainties in ionospheric variations, which are essential for improving global navigation and communication systems.
Keywords
Ionosphere, GNSS, VLBI, Gaussian Processes, machine learning
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Bachelor Thesis , ETH Zurich (ETHZ)
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Published since: 2024-08-21 , Earliest start: 2025-02-17 , Latest end: 2025-05-31
Applications limited to ETH Zurich
Organization Space Geodesy (Prof. Soja)
Hosts Soja Benedikt
Topics Engineering and Technology , Earth Sciences