ETH Zurich, Switzerland invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at ETH Zurich, Switzerland.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD Position on ‘Neuromodulation and Arousal Regulation through Bio-/Neurofeedback’
This project focuses on neuromodulatory systems (and the locus coeruleus in particular), their role in regulating the brain arousal levels and effects on other bodily signals. By using a novel biofeedback approach based on our eye’s pupil dynamics in combination with neuroimaging, electrophysiological, and respiratory recordings, we intend to understand and modulate these crucial brain functions and their effects on bodily physiology during wake and sleep.
Deadline : June 12th 2025
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Position on Antifragile Traffic Control in Urban Road Networks
We invite applications for a PhD position in the field of AI-driven Traffic Control and Antifragility in Urban Mobility Systems. The successful candidate will join a dynamic team at the Traffic Engineering Group (SVT) of the Institute for Transport Planning and Systems (IVT), ETH Zurich.
The Traffic Engineering group (SVT) of the Institute for Transport Planning and Systems (IVT) at ETH Zurich intends to develop scalable optimization systems for operational support in large-scale road networks. Modeling and simulation are powerful tools for the development and validation of traffic management and control strategies in urban and freeway environments. At the same time, data-driven methodologies and machine learning offer new opportunities for optimal traffic management strategies but often they lack physical intuition, which creates obstacles towards large-scale deployment and public acceptability.
Deadline : 20 June 2025
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Applied Computer Science and Machine Learning for Digital Health and Digital In-Vehicle Biomarkers
In light of these challenges, we are looking for a personality with a strong will to create a meaningful impact. Our goal is to design, implement, and evaluate a cannabis-impaired driving detection and prevention system. Building upon previous studies that have been well-recognized for their contributions (ETH medal, CHI Best Paper Award), we will first conduct a real-world study in which subjects are put under the influence of cannabis while performing a pre-driving test and a driving task on a test track. We then develop and evaluate a robust cannabis-driving detection model before and while driving. Ultimately, we are working towards a scalable digital biomarker platform for in-vehicle driver state detection, contributing to the long-term goal of Vision Zero (eliminating traffic-related fatalities and severe injuries).
Deadline : Open until filled
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD position in machine learning for photocatalysis
As a PhD student in our growing team, you will develop machine learning methods to predict the reactivity and selectivity of energy-transfer-catalyzed photocycloaddition reactions. You will furthermore identify descriptors for photochemical reactions that can be used by the models to generalize better to new substrates and reaction types. You will be expected to collaborate closely with our experimental partners in the group of Prof. Dr. Glorius. Further responsibilities include contributing to the teaching activities of our department.
Deadline : Open until filled
(05) PhD Degree – Fully Funded
PhD position summary/title: Student Research Assistant for Developing Python tools for holographic cloud-particle imager
The HoloPython project aims to develop a specialized Python-based software tool for the comprehensive analysis of data from holographic imaging systems. These systems, deployed during field measurements, capture high-resolution imagery of cloud droplets and ice crystals to determine their size distributions and types. The resulting large datasets (often several terabytes) necessitate advanced software capabilities. Key functionalities of the HoloPython tool will include:
- Efficiently handling and managing large data volumes.
- Performing numerical reconstruction of holograms, optimized for high-performance computing (HPC) environments.
- Classifying ice crystal habits using Convolutional Neural Networks (CNNs).
- Providing intuitive graphical interfaces for user interaction and data visualization.
Deadline : Open until filled
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(06) PhD Degree – Fully Funded
PhD position summary/title: Student Research Assistant for Cloudlab Data Management and Preparation
The primary goal of this student position is to clean up, organize, and prepare the diverse datasets collected during the Cloudlab seeding experiments. This involves working with data from a suite of in-situ and remote sensing instruments. The impact of your work will be significant: the curated dataset will be published, making it accessible to the international research community for further analysis and for model intercomparison studies, advancing our understanding of cloud processes.
Deadline : Open until filled
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Decentralized Resource-Constrained Machine Learning
The Distributed Computing group at ETH Zurich is looking for a PhD candidate to work on the SNSF Ambizione 2023 project “eDIAMOND: Efficient Distributed Intelligent Applications in Mobile-Network Dynamics”, starting on 1 September 2025. The eDIAMOND project aims at developing new methods and systems for decentralized and distributed data-driven methods for Federated Learning on resource-constrained networks. Your research within the project will contribute towards your doctoral degree at ETH Zurich. You will be supervised by Prof. Dr. Roger Wattenhofer and Dr. Antonio Di Maio.
You will be entrusted with designing, developing, and evaluating data-driven methods, algorithms, and systems for three independent but related research directions in the eDIAMOND project, namely:
- Distributing model training and inference over a network of resource-constrained devices.
- Online, context-aware adaptation of Federated Neural Network Architectures based on the available system resources (e.g., communication, computation, energy).
- Communication-efficient knowledge exchange among networked federated large models.
Deadline : Open until filled
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Reliability-Based Design Optimization using Stochastic Emulators
This PhD position is part of the ORACLES project (“Optimization, Reliability And CaLibration using Emulators of Stochastic computational models”), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by developing and applying novel stochastic emulators. A key focus is using these advanced emulators to tackle complex, previously intractable UQ problems involving deterministic simulators. This specific PhD position focuses on leveraging stochastic emulators for Reliability-Based Design Optimization (RBDO).
Deadline : Open until filled
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Hierarchical Bayesian Inference using Stochastic Emulators
As the successful candidate, your research will focus on developing and applying advanced computational methods for Bayesian inference and model calibration. Your main tasks will include:
- Investigating and developing novel computational strategies to enhance the efficiency and scalability of Bayesian methods for complex models
- Exploring the use of advanced surrogate modeling techniques (e.g., stochastic emulators) to accelerate likelihood computations and posterior exploration in Bayesian frameworks
- Addressing challenges related to high-dimensional parameter spaces and complex, potentially high-dimensional model outputs in Bayesian analysis
- Developing methods to improve the accuracy and robustness of parameter estimation and uncertainty quantification using Bayesian techniques
- Applying the developed methods to calibrate and validate computational models against experimental data in relevant engineering contexts
- Disseminating research findings through publications in leading peer-reviewed journals and presentations at international conferences
Deadline : Open until filled
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Green Hydrogen Production
At the Solar Energy Engineering Laboratory, our mission is to accelerate the deployment of renewable energy by developing cost-effective technologies that convert sunlight into a storable and more usable form.
The successful candidate will contribute to this mission by applying fundamentals of thermodynamics, chemistry, and materials science to design new methods for producing hydrogen from water that are not only compatible with sustainable heat sources (e.g., concentrated solar radiation) but also scalable by volume. The performance of the conceived methods will be experimentally evaluated using both custom-built equipment and advanced thermophysical characterization techniques, such as thermogravimetry and differential scanning calorimetry. In addition to conducting original research, the successful candidate will be responsible for writing and publishing research findings in leading scientific journals, presenting at international conferences, supporting team members in various scholarly activities, and mentoring Master’s and Bachelor’s students.
Deadline : 2 June 2025
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Thermal Energy Storage
At the Solar Energy Engineering Laboratory, our mission is to accelerate the deployment of renewable energy by developing cost-effective technologies that convert sunlight into a storable and more usable form.
The successful candidate will contribute to this mission by applying fundamentals of thermodynamics, heat and mass transfer, and experimental design to develop materials – and scalable methods for their fabrication – that not only substantially outperform conventional sensible heat-based thermal energy storage media but also exhibit robust thermal and mechanical stability at temperatures above 1000°C. Different aspects of the fabricated materials, as well as their overall performance, will be experimentally evaluated using both custom-built equipment and advanced thermophysical characterization techniques, including thermogravimetry, differential scanning calorimetry, and laser flash analysis. In addition to conducting original research, the successful candidate will be responsible for writing and publishing research findings in leading scientific journals, presenting at international conferences, supporting team members in various scholarly activities, and mentoring Master’s and Bachelor’s students.
Deadline : 2 June 2025
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Computational Genomics / Animal Genomics
Cattle are an interesting «model organism» to study inherited genetic variation and the molecular-genetic underpinnings of complex traits and dieseases. Whole-genome sequencing and dense phenotyping data are availble for tens of thousands of individuals that are connected thrpugh relatives. These data enable studying the transmission of alleles and powerful association testing to study the genetic architecture of complex traits and diseases.
The project «OPISCOW – Origin, prevalence, and impact of complex structural variation in a large mammalian genome discovered through genome assembly at the population scale» was recently funded by the Swiss National Science Foundation (SNSF). This 4-years project builds upon previous research conducted by the Animal Genomics group that investigated the presence of structural variants in the bovine genome. We have collected large amounts of long read sequencing data (PacBio HiFi) to build genome assemblies and integrate them into pangenomes. This allowed us to investigate the distribution of structural variants in cattle and related species, construct different pangenome graphs, and identify trait-associated structural variants.
Deadline : Open until filled
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Researcher in Experimental Cloud Physics: Investigation of Aerosol-Cloud Interactions in Warm Clouds through Seeding Experiments
The BeyondCloudlab project leverages weather modification techniques to enhance our understanding of aerosol-cloud interactions, ice crystal growth, cloud-radiation interactions, precipitation initiation, and cloud seeding. Building upon the Cloudlab project, the collaborating SNF project BeyondCloudLab (4 PhDs, 2 PostDocs) brings together a team including Prof. Lohmann and Dr. Henneberger (ETH) working on cloud microphysics and seeding, Prof. Mohr (PSI/ETH) leading aerosol chemical analysis, and Dr. David and Dr. Carlsen (University of Oslo) focusing on aerosol-cloud-radiation interactions.
Deadline : Open until filled
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD position: modeling fracture in soft materials
The successful candidate will develop numerical and theoretical models to investigate fracture in soft and slender bodies. She/he will explore how nonlinear elasticity, dissipation, and slender geometry interact to influence crack initiation and growth. Using in-house codes and high-performance computing resources, the candidate will simulate fracture processes and analyze the dissipative mechanisms to uncover the mechanisms driving failure. She/he will contribute to the development of predictive models that capture the complex interplay of length scales in soft materials. The candidate will work in close collaboration with experimental researchers within the project, providing modeling insights and helping to interpret experimental observations.
Deadline : Open until filled
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD position – Developing innovative plasmonic materials
The research focuses on developing innovative plasmonic materials. Surface plasmon resonance (SPR) and localized surface plasmon resonance (LSPR) are strong photon-induced collective hot-electron coupling effects, which can create intense and sensitive electromagnetic near field. SPR and LSPR have found intriguing successes in biosensing, control switches, signal amplifiers and modulators, and high-performance photocatalysis. The conventional plasmonic materials include noble metals, e.g. gold, which was extensively used in biosensing research in our group. On the other hand, the plasmonic properties are strongly dependent on the materials, the surrounding media, and the geometrical parameters, which makes engineering of the material and nanostructure extremely important to realize highly tunable and designable optical properties.
Deadline : Open until filled
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD position: Design automation of electromagnetic induction coils using additive manufacturing
The position offers the possibility of a PhD, which will be supervised by Prof. Mirko Meboldt at ETH Zurich. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A particular focus will be on exploring design generation based on physical models and validating these designs through experimental testing on dedicated test benches. This research will be conducted in close collaboration with both academic and industrial partners.
Deadline : Open until filled
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Nanoscale magnetism-defect interaction
You will investigate the impact of alloying on the magnetic properties of Sm-Co magnets, using Fe-Cr as a test bed material. This project combines advanced experimental techniques with computational modeling, including:
- Advanced Transmission Electron Microscopy (TEM): High-resolution magnetic field distribution characterization, temperature-dependent microstructure and magnetic texture evolution study.
- Atomic-Scale Analysis: Atom-probe tomography (APT) and high-resolution scanning TEM for atomic-level microstructure and chemical composition analysis.
- Computational Modeling: Micromagnetic and molecular dynamics (MD) simulations.
Deadline : Open until filled
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Polymer Synthesis
- New methods to prepare organic and polymer materials: Selective bond formations on both small and macromolecules will be studied. Catalysis and metal-mediated reactions are the main candidates. Tandem catalysis to rapidly build up the complex macromolecules is also one of the goals.Controlling their nano
- structures by adopting state-of-art self-assembly techiques via taking advantage of living polymerization
- Conjugated polymers for organic electronics: the key components of electronic devices. New materials will be applied to OTFT, organic memory and solar cell devices.
Deadline : Open until filled
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Moisture Transport in Carbonated Cementitious Materials
It is well known that reinforcing steel corrosion in carbonated concrete is highly dependent on the internal moisture condition. Therefore, to mitigate steel corrosion, especially in environmentally friendly cement types, there is an urgent need to understand moisture transport in carbonated concrete and to control the water content at the steel-concrete interface. Previous studies reported that moisture transport in carbonated cementitious materials is different from non-carbonated cementitious materials because of the different microstructural stability under the variations of moisture content.
This PhD project includes the experimental characterisation of microstructure and moisture transport properties of carbonated and non-carbonated cementitious materials. Both established, state-of-the-art and advanced experimental techniques will be applied. This project will be in collaboration with numerical modelers in the research group. Experimental data will be used to feed, calibrate and validate moisture transport models.
Deadline : Open until filled
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(20) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Students in Production Management
We offer regular research associate positions with a competitive salary in accordance with ETH standards at ETH Zurich and with HSG standards at HSG. The candidates will be involved in teaching and supervision activities at their respective home institutions. The candidate should indicate their preference for the home institution.
There is flexibility concerning the starting date to accommodate the selected candidate’s availability. The average duration for a doctoral student at ITEM and POM is four years. The contract is limited.
Deadline : August 31, 2025
About ETH Zurich, Switzerland- Official Website
ETH Zürich is a public research university in the city of Zürich, Switzerland. Founded by the Swiss Federal Government in 1854 with the stated mission to educate engineers and scientists, the school focuses exclusively on science, technology, engineering and mathematics. Like its sister institution EPFL, it is part of the Swiss Federal Institutes of Technology Domain, part of the Swiss Federal Department of Economic Affairs, Education and Research.
In the 2021 edition of QS World University Rankings, ETH Zurich was ranked 6th in the world, placing it as the second-best European university after the University of Oxford. In the 2020 QS World University Rankings by subject, it ranked 4th in the world for engineering and technology (2nd in Europe) and 1st for earth & marine science. Also, ETH was rated 8th in the world in the Times Higher Education World University Rankings of 2020.
The university is an attractive destination for international students thanks to low tuition fees of 809 CHF per semester, PhD and graduate salaries that are amongst the world’s highest, and a world-class reputation in academia and industry. There are currently 22,200 students from over 120 countries, of which 4,180 are pursuing doctoral degrees.
As of November 2019, 21 Nobel laureates, 2 Fields Medalists, 2 Pritzker Prize winners, and 1 Turing Award winner have been affiliated with the Institute, including Albert Einstein. Other notable alumni include John von Neumann and Santiago Calatrava. It is a founding member of the IDEA League and the International Alliance of Research Universities (IARU) and a member of the CESAER network.
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