ETH Zurich, Switzerland invites online Application for number of Fully Funded PhD Positions 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 Positions – Fully Funded
PhD position summary/title: PhD position in Decision Support at the Fleet Level
The scientific aim of DIAMOND is to develop decentralized, data-driven frameworks that enable robust monitoring and condition assessment of infrastructure fleets. By combining smart sensing with distributed intelligence and advanced stochastic modelling, the project delivers new methods for scalable prediction and decision support across diverse asset types.
The DIAMOND network brings together leading academic institutions and major industrial partners from across Europe, spanning Ireland, Italy, the United Kingdom, Denmark, France, Greece, Finland, the Netherlands, Austria, Germany, and Switzerland.
Deadline : Open until filled
(02) PhD Positions- Fully Funded
PhD position summary/title: PhD student position in Glycobiology of Lymphatic Vessels
The successful candidate will:
- Learn to work with mice and isolate lymph nodes for microscopy and primary cell culture
- Characterize the glycocalyx of lymphatic endothelial cells (LEC) isolated from mouse lymph nodes using mass spectrometry and bioinformatic analyses (in collaboration with partners at ETH and in the USA)
- Investigate the underlying mechanisms for the altered composition of the LEC glycocalyx upon loss of core-1-derived O-glycans using FACS and Western blot as well as ELISA of culture supernatants
- Investigate cell-cell interactions of LEC with immune cells in lymph node tissues using immunofluorescence and advanced microscopic techniques
- Study LEC- immune cell interactions in vitro
- Present her/his project plans and research results to diverse audiences in both oral and written formats
- Contribute to the teaching and lab activities within the Pharmaceutical Immunology group of Prof. C. Halin at ETH Zurich
Deadline : Open until filled
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(03) PhD Positions – Fully Funded
PhD position summary/title: PhD Position in Computational Materials Theory (Nickelate Superconductors)
This computational project will employ calculations based on density functional theory (DFT) and extensions of DFT, such as DFT+U and DFT in combination with dynamical mean-field theory (DMFT). It is embedded in a consortium of various Swiss and French research groups, and will involve close collaborations with experimentalists employing different synthesis, characterization, and spectroscopic techniques, with a focus on pressure-dependent studies of Ruddlesden-Popper-type nickelates of different chemical compositions.
Deadline : Open until filled
(04) PhD Positions – Fully Funded
PhD position summary/title: PhD in Meta-optics based optomechanics
The project aims to exploit the latest advances in meta-optics to gain further control over optomechanical interactions. Through a precise engineering of the electromagnetic modes supported by the metasurfaces, one can control the optical forces they experience and, consequently, their mechanical response. By investigating unprecedented effects, this research is poised to both advance our fundamental understanding and drive new technological developments.
Deadline : Open until filled
(05) PhD Positions – Fully Funded
PhD position summary/title: Doctoral fellowship in History and Theory of Architecture
Conduct original doctoral research on an individually determined topic within the history and theory of architecture and urbanism. The fellowship places no restriction on the geography or time period of the proposed research project.
The doctoral fellowships are funded for three years (100%, ETH Standard Rate) with the possibility of renewal for one additional year.
Deadline : 15 February 2026
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(06) PhD Positions- Fully Funded
PhD position summary/title: PhD position Wood Materials Science – DC11:Electrically conductive bio-based materials -within the Marie Skłodowska-Curie Actions –Doctoral Networks (MSCA-DN) RE-Fibre
Deadline : Open until filled
(07) PhD Positions – Fully Funded
PhD position summary/title: Doctoral Positions in AI for Computational Thinking
Each doctoral student will lead a coherent subproject within this broader research program:
Position 1: AI for Computational Thinking
Focuses on designing and studying AI-assisted programming environments that help learners develop deeper conceptual understanding and problem-solving skills. Topics may include multimodal representations of code, intelligent feedback mechanisms, and the cognitive processes underlying programming and logical reasoning.
Position 2: AI Literacy Education
Focuses on designing and evaluating educational interventions that help high school students understand, critique, and responsibly use AI technologies. Topics may include simulation-based classroom activities, conversational AI tutors, or tangible and game-based approaches to teaching core AI concepts and ethical reasoning. The work will involve close collaboration with teachers and schools in Switzerland to design and conduct classroom studies.
Deadline : Open until filled
(08) PhD Positions – Fully Funded
PhD position summary/title: PhD Position in Energy-Efficient Machine Learning for Wearable and Augmented Reality Systems
This position is part of the SNSF Ambizione project MiNI – Multimodal Neuromuscular Interface, in close collaboration with groups at the Scuola Superiore Sant’Anna in Pisa and Imperial College London.
Application context
MiNI explores the convergence of ML, embedded intelligence, and human sensing to develop a platform for real-time neuromuscular signal interpretation. Current AR/XR systems depend mainly on camera-based tracking, accelerometers or sEMG and are constrained by power consumption and limited robustness. MiNI introduces a multimodal approach that integrates electrical (sEMG), mechanical (ultrasound), and complementary sensor data for high-fidelity movement estimation, enabling natural, efficient human–machine interaction.
Deadline : Open until filled
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(09) PhD Positions – Fully Funded
PhD position summary/title: PhD Student in Macroeconomic Forecasting
- Participate in the preparation of the international economic outlook as part of the quarterly publication of KOF economic forecasts.
- Pursue an excellent PhD dissertation in applied macroeconomics, macroeconometrics, or economic nowcasting/forecasting — ideally on topics relevant for the Swiss and/or international economy.
- Develop and implement new forecasting and nowcasting models, and maintain reproducible code and data pipelines.
Deadline : Open until filled
(10) PhD Positions – Fully Funded
PhD position summary/title: PhD Position – C++ Software Engineering of a 3D Cell-Based Tissue Simulation Framework
We are seeking a highly motivated PhD student to contribute to the further development of SimuCell3D, a high-performance C++ framework for simulating 3D tissues of thousands deformable cells—including extracellular matrix and cavities—within a single day [Runser et al., 2024, Nat Comput Sci 4, 299–309; Tweetorial]. This platform allows investigation of tissue mechanics, cell polarization, and morphogenetic processes at unprecedented scale.
Deadline : Open until filled
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(11) PhD Positions – Fully Funded
PhD position summary/title: PhD candidate for developing highly efficient and ultra-wide range converter systems for DC power supplies
We are looking for highly motivated individuals with an outstanding academic background who are interested in pursuing a PhD in the research area of converter topologies and modulation strategies for low-power DC supplies with a very high efficiency and a very wide range of input voltages. Such supply systems are required for applications such as supplying actuators and sensors in facility automation, where the converters often operate in standby mode or at a relatively low load, with the full output power only being required for short periods when the actuator is active. Despite these supplies’ typically low power level, the overall worldwide power consumption is substantial, and achieving a high efficiency at low power levels would allow to significantly reduce greenhouse gas emissions caused by facility automation.
To push the efficiency limits of such DC supplies, you will develop new converter concepts for AC/DC power supplies with an ultra-wide input voltage range, which are highly efficient even at low output power levels. In a second step, you will develop multi-physics models of all relevant components to maximise the performance of the new converter concepts. These models should then be integrated into optimisation procedures for power electronic converter systems in a computationally efficient way to enable comprehensive system efficiency optimisations across a wide range. These models are also part of an ongoing modelling framework development project at HPE, offering the opportunity to collaborate with other PhD candidates on various modelling aspects. In a third step, you will validate the models and optimisation results by developing and operating various test setups and prototype systems in collaboration with an industry partner. Finally, you will explore the potential for integrating the novel converter concepts into a power integrated circuit. This would enable the incorporation of additional features and reduce system costs in the long term.
Deadline : Open until filled
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(12) PhD Positions – Fully Funded
PhD position summary/title: PhD candidate for developing multi-physics models of high-power medium frequency transformers
We are looking for highly motivated individuals with an outstanding academic background who are interested in pursuing a PhD in the important and multidisciplinary research area of modelling and optimising high-power, medium-frequency transformers (MFTs). Compact, highly efficient transformers that operate at kilohertz frequencies are key components of high-power DC-DC converters, which are the core component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even megawatts. To transfer energy efficiently from the grid to CPUs/GPUs, higher system voltages are required in data centres/computer racks, and efficient power electronics converter systems based on SSTs are essential for controlling the highly dynamic power flow.
For pushing the efficiency and power density limits of these SSTs you will develop multi-physics models of transformers, which describe not only the (HF) losses in the winding and the core, but also the cooling/temperature distribution in the transformer, resonances in the winding due to parasitic capacitances, and electrical insulation. You will also work on optimising the core and winding geometry, developing advanced cooling concepts for the windings and core, and designing solutions for efficiently connecting the high-current windings. Using the models and concepts developed, you will then identify technological barriers to the transferable power and efficiency of MFTs.
Deadline : Open until filled
(13) PhD Positions – Fully Funded
PhD position summary/title: Doctoral Student in Development Economics
As part of ongoing research projects at ETH-DEC, the successful candidate will conduct research at the intersection of public health and information economics using mostly secondary data. Examples include:
- A project studying harmful narratives about public health in local radio broadcasts, as well as the impact of organisations providing reliable and independent information to counteract misinformation in Africa.
- A project on the spatial and temporal monitoring of different measures of food insecurity in low- and middle-income countries.
Deadline : 5th of December 2025.
(14) PhD Positions – Fully Funded
PhD position summary/title: PhD Position in Fire Behaviour of Timber-encased Steel Composite Structures
The research project sets out to advance the understanding and predictive modelling of steel profiles embedded in timber under accidental loading, such as fire and explosion, which are becoming more relevant for ensuring resilient structures. This will be achieved through tasks involving multi-scale test campaigns along with advanced analyses and critical interpretation of the mechanical behaviour. These include: (1) characterisation of the thermal, thermomechanical, and dynamic behaviour of building materials and structural components, i.e. steel, timber, and adhesive layers through small- and full-scale testing; (2) experimental campaigns on TESC members under fire and (3) blast loading; (4) validation of physics-based numerical models to simulate the thermomechanical and dynamic response of TESC members; (5) numerical analysis of the interaction between fire and blast loading to the load-bearing performance of TESC members in multi-hazard scenarios, e.g. fire-induced explosions, based on ad-hoc material tests under combined elevated temperatures and high-strain rates.
Deadline : Open until filled
(15) PhD Positions – Fully Funded
PhD position summary/title: PhD position in Experimental mechanics
The position is funded by the SOFRA(CT) project and aims at devising innovative testing approaches to investigate the failure of elastomers. The goal of the PhD project is to develop cutting edge experimental procedures involving X-Ray computed tomography (CT), digital image/volume correlation and targeted manipulation of polymeric chains (i.e., mechanophore additions) to gain a deeper insight into the failure process of polymeric rubbers. The PhD student will work in the team of Dr. P. Carrara and will be in charge of testing the behavior of different elastomers up to failure, analyze the results with novel digital and numerical approaches and contribute to develop models to describe the observed phenomena. The PhD student will also work in close contact with another PhD student in charge of the modeling and simulation of the obtained results.
Deadline : Open until filled
(16) PhD Positions – Fully Funded
PhD position summary/title: PhD position in Computational mechanics
- You will have the unique opportunity to learn, develop and apply a range of cutting-edge modeling and computational techniques
- You will have the possibility to work in close contact with experimental researchers and, thus, gain experience also in the experimental mechanics field
- You will work in an interdisciplinary and fast-paced research environment, interact with researchers with different specializations, gain skills in computational technologies, and interact with world-class collaborators
Deadline : Open until filled
(17) PhD Positions – Fully Funded
PhD position summary/title: PhD Position in Advanced 3D Organotypic Bone Models for In Vitro Osteosynthesis Research
Osteosynthesis systems are designed to stabilize fractured bones in their correct anatomical alignment, but conventional implants often require removal once healing is complete, which can lead to complications. Mg-based biodegradable systems could overcome this limitation by resorbing naturally after bone repair. Yet, most current Mg alloys contain rare earth elements (REEs) to improve mechanical stability and corrosion resistance, raising concerns about biocompatibility. Moreover, Mg degradation products, such as ions and hydrogen gas, can alter the local microenvironment – affecting pH, pressure, and cellular activity – and may influence bone regeneration outcomes differently in vitro and in vivo.
The overall goal of this project is to bridge this gap by engineering an advanced organotypic 3D bone culture system that better replicates the biophysical and biochemical conditions of bone healing. The doctoral researcher will develop and apply models incorporating mechanical stimulation and cocultures of human bone forming stem cells and monocytes to capture both inflammatory and regenerative aspects of healing. These models will enable systematic evaluation of material-cell interactions under physiologically relevant conditions, helping to reduce the IVIVD and advance the clinical translation of REE-free Mg-based osteosynthesis systems.
Deadline : Open until filled
(18) PhD Positions – Fully Funded
PhD position summary/title: PhD positions in computational quantum many-body physics, machine learning, non-Hermitian systems
In this role, you will be at the forefront of addressing several fundamental questions including: How can we best simulate Hermitian and non-Hermitian strongly correlated quantum systems and harness the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of concepts at the intersection of artificial intelligence, condensed matter physics, and quantum computing.
You will dive deep into the realms of theoretical and computational physics with a focus on the development of algorithms and large-scale numerical simulations. Your expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and tensor networks. These and other techniques will allow us to confront challenges within the domains of equilibrium and out-of-equilibrium properties of quantum many-body systems, quantum computing, and machine learning, where you’ll have the opportunity to contribute to the advancement of our understanding and capabilities in these groundbreaking fields.
Deadline : Open until filled
(19) PhD Positions- Fully Funded
PhD position summary/title: PhD positions in High-voltage circuit breaker technology
SF6 is today the most important gas for high-voltage switchgear. Its global warming potential is 23‘500 times higher than that of CO2 and world-wide efforts are underway to develop and optimize equipment with environmentally friendly gas mixtures. The successful candidate will research (mostly experimental) on the arcing behavior and current-interruption capabilities of novel non-SF6 gas mixtures.
Deadline : Open until filled
(20) PhD Positions – Fully Funded
PhD position summary/title: PhD Position: Spatio-temporal causal modeling of shared EV demand
The research project “Estimating impacts of car-sharing vehicle and station alteration on induced demand across spatio-temporal contexts”, funded by the Swiss Federal Office of Energy, investigates how modifications in vehicle and station configurations for shared electric vehicles (EVs) influence demand across different spatio-temporal contexts. Shared EVs offer significant benefits for sustainable mobility and the strategic placement of car sharing stations is crucial to maximize user adoption. Using causal effect estimation and spatially aware predictive methods, tools will be developed to simulate the impact of system changes in selected scenarios, supporting the transition to a fully electric car-sharing service. These methods are adaptable to a wide range of spatial decision-making problems by offering a framework to explore “what-if” interventions across space and time.
Deadline : Open until filled
(21) PhD Positions – Fully Funded
PhD position summary/title: Doktorand:in Minimal Viable Products and Innovation Pathways in Engineering (m/w/d)
Das Konzept des Minimal Viable Product (MVP) ist in der Softwareentwicklung und bei Start-ups weit verbreitet. Ein Minimal Viable Product (MVP) ist ein funktionsfähiger Prototyp mit minimalem Aufwand, der es ermöglicht, Kernfunktionen einer Idee frühzeitig zu testen, um Nutzerfeedback zu gewinnen und Risiken in der Produktentwicklung zu reduzieren. Der Transfer dieser Ansätze in den Maschinenbau ist herausfordernd, und der systematische Einsatz von MVP-Prinzipien ist im Maschinenbau bislang kaum erforscht.
Das Doktoratsprojekt soll untersuchen, wie MVP-Ansätze auf hardwareorientierte Entwicklungen im Maschinenbau übertragen werden können, um Innovation zu beschleunigen, Risiken zu reduzieren und iterative Lern- und Validierungsschleifen in technischen Entwicklungsprojekten zu fördern. Ziel ist es, neue Innovationspfade und Entwicklungsstrategien zu identifizieren, die eine schnellere und fundiertere Produktentwicklung im Ingenieurwesen ermöglichen.
Das Doktoratsprojekt ist so aufgebaut, dass Sie aktiv in Innovations- und Entwicklungsprojekte eingebunden sind und dort experimentell und methodisch mitarbeiten. Sie übernehmen dabei auch Verantwortung in der Leitung von Innovationsprojekten, auch im Rahmen von Lehrprojekten und Weiterbildungsprogrammen, in denen Studierende sowie Teilnehmende aus der Industrie Innovations- und Entwicklungsprojekte durchführen.
Deadline : Open until filled
(22) PhD Positions – Fully Funded
PhD position summary/title: Two PhD positions in Biophysics and rheology of bacterial biofilms
The two PhD positions are part of a recently funded SNSF project aimed at systematically investigating nonlinear biofilm rheology, with emphasis on the role of extracellular DNA (eDNA). Biofilms are a ubiquitous form of microbial life with important implications in medicine, industry, and the environment. They are responsible for persistent infections, antibiotic resistance and biofouling, leading to economic costs of billions of dollars annually and thousands of deaths. Biofilms are microbial communities encased in a polymeric matrix that provides mechanical stability and protection from mechanical stresses through its viscoelastic properties. While the linear viscoelastic response under small deformations is well characterised and recognised as a virulence factor, the response to large deformations remains poorly understood. In particular, there is a lack of systematic investigation of the nonlinear regime, where externally applied loads can induce stress-hardening and stiffening of the biofilm matrix.
Recent findings from our group suggest that eDNA may play a central role in the stress-hardening of biofilms. We hypothesise that this behaviour arises from the entropic elasticity of the eDNA network, a mechanism well described in polymer physics but largely unexplored in living biofilms. This could enable both short- and long-term adaptation to flow fluctuations. While initial experiments are consistent with this hypothesis, further investigation is required to validate the underlying molecular mechanisms and to determine whether stress-hardening is specific to streamers or constitutes a broader feature of biofilm mechanical adaptation across different morphologies. This project will test these hypotheses through a combination of structural, biochemical, and rheological analyses of the biofilms and mathematical modelling, with the potential to reveal fundamental principles of biofilm resilience.
Deadline : Open until filled
(23) PhD Positions – Fully Funded
PhD position summary/title: PhD Position: Synthetic surrogates to trace microbial transmission in healthcare settings
The goal of this project is to continue the development of synthetic surrogates of common pathogens with comparable physicochemical properties, especially susceptibility towards alcohol disinfection, stability upon desiccation and the ability to be transferred from one surface to another by touch. The use of DNA as a reporter molecule shall allow the use of the ultra-sensitive detection method of quantitative Polymerase Chain Reaction (qPCR). This method of detection will enable us to not only monitor the spread, but to additionally perform validations of hygiene protocols and other means of preventive measures.
We have set-up collaborations with major European hospitals to be able to test the synthetic surrogates developed in this project in real world scenarios.
Deadline : Open until filled
(24) PhD Positions – Fully Funded
PhD position summary/title: PhD position/ Doktorand:In – Navigating Safety-Security Interrelations and Related Human Factors in Critical Infrastructures (m/w/d)
Wir suchen Doktorand: Innen, die uns bei einem Projekt mit einer Laufzeit von 3,5 Jahren unterstützen. Die Ziele des Projekts sind 1) die Entwicklung und Bewertung einer Co-Analyse-Methodik zur Identifizierung von Wechselbeziehungen zwischen Safety und Security und 2) die Quantifizierung und der Vergleich von Wechselbeziehungen zwischen Safety und Security in kritischen Infrastrukturen. Schliesslich zielt das Projekt 3) darauf ab, Massnahmen zur Verbesserung der „integrativen Sicherheit“ zu entwickeln und zu bewerten, die die gemeinsame Betrachtung von Safety, (Cyber-)Security und deren Wechselbeziehungen ermöglichen.
Das Projekt wird in enger Zusammenarbeit mit dem Forschungsinstitut „Mensch in komplexen Systemen“ unter der Leitung von Prof. Katrin Fischer an der Fachhochschule Nordwestschweiz (FHNW) und vier Partnern aus dem Bereich kritischer Infrastrukturen in der Schweiz durchgeführt.
Deadline : Open until filled
(25) PhD Positions – Fully Funded
PhD position summary/title: PhD student position in fluid dynamics and optics for biomedical applications
The blood-brain barrier (BBB) is a critical protective shield for the brain, but it also poses a major challenge for delivering life-saving drugs to treat neurological diseases like Alzheimer’s disease and brain tumors. Current methods, such as focused ultrasound with microbubbles, are limited in precision and efficiency, often delivering less than 1% of the drug to the brain. To address this, our project introduces a new approach using laser-induced bubble generation to achieve precise, controlled BBB opening (BBBO) for targeted drug delivery.
Our key objective is to develop a non-invasive, laser-based technique that safely and effectively opens the BBB at energy levels that avoid tissue damage. By generating and controlling highly dynamic vapor bubble activity with laser light, we aim to create temporary openings in the BBB, allowing therapeutic agents to reach the brain with unprecedented precision. By enabling targeted drug delivery, our approach could dramatically improve therapeutic outcomes while minimizing side effects. Unlike existing methods, our technique aims to use laser energies that are safe for biological tissues, ensuring both efficacy and safety.
To achieve these goals, two PhD projects have been designed. One of them will focus on biosafety and in-vivo imaging aspects of the project, and will be hosted by the Functional and Molecular Imaging Group (Prof. Razansky). The second PhD student (this position), hosted by the Multiphase Fluid Dyamics group (Prof. Supponen) has a focus on modelling and high-speed imaging to optimize bubble generation and control, and the resulting particle dynamics and interaction with cells using in-vitro models. We will also validate BBBO in preclinical models, building upon advanced imaging technologies, including fluorescence and optoacoustic imaging, to assess efficacy and optimize the process. The expected output of the project is a novel, laser-based platform for precise BBBO that can be readily translated into clinical applications. This project will not only advance our understanding of BBB permeability but also open new avenues for treating neurological disorders. By focusing on core tasks and leveraging our recent collaborative findings, we aim to deliver impactful results that pave the way for safer, more effective brain therapies.
Deadline : Open until filled
(26) PhD Positions – Fully Funded
PhD position summary/title: PhD Position in Ultrafast Condensed Matter Physics
In contrast to classical systems, the quantum properties of matter provide extraordinary functionalities that can be harnessed for future applications. Quantum states arise at atomic length scales, where electrons play a key role. Understanding how these states form in condensed matter is vital for mastering novel material functionalities. To date, most studies have focused on detecting such states and measuring their decay. However, the formation of these states remains little explored due to the extremely fast electronic dynamics and the limited experimental information available, which hinders the disentanglement of intertwined processes.
The Ph.D. candidate will work in the subgroup of Dr. Dmitry Zimin and focus on realizing novel experiments on ultrafast quantum dynamics in condensed matter. The candidate will acquire expertise at the frontiers of ultrafast science and apply it to conduct cutting-edge research on quantum materials.
Deadline : Open until filled
(27) PhD Positions – Fully Funded
PhD position summary/title: PhD Position in Deformation & Microstructures of Eclogites
Eclogite is a dense, high-pressure metamorphic rock that can influence the strength of subduction interfaces and the deep lower crust, affecting plate coupling, slab pull, crustal foundering, and how stresses accumulate and release at depth. Field observations indicate that, under certain conditions, eclogite deforms by diffusion creep-a weak, grain-size-sensitive mechanism that can accelerate deformation, enhance fluid transport, and help localize strain. However, the strength of eclogite in this regime has never been quantified experimentally. This project will deliver the first high-pressure/high-temperature calibration of eclogite diffusion-creep behavior and directly validate it against natural samples from Norway’s Western Gneiss Region using field and microstructural observations. The PhD student will focus on shear/deformation experiments, detailed microstructural analyses (EBSD/EDS, microprobe, FTIR, micro-CT), and the integration of experimental and natural datasets, including participation in field campaigns in the Western Gneiss Region.
Deadline : Open until filled
(28) PhD Positions – Fully Funded
PhD position summary/title: Doctoral Fellowships in Architecture and Technology
The A&T Doctoral Programme is ETH Zurich’s interdisciplinary educational platform committed to training scholars in research and teaching of technology in architecture. The programme is offered and managed collaboratively by the chairs of the Institute of Technology in Architecture (ITA). The work of the ITA chairs assimilates many diverse aspects of employing science, technology and engineering in architecture, including computational design of buildings and structures, building processes and systems, digital and robotic construction and fabrication, and many others. For more information about our institute, please consult the ITA website.
Deadline : January 31, 2026.
(29) PhD Positions – 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”. 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.
These research directions allow you to gradually build your own research profile according to your interests, while remaining within the project’s goals. Each research direction is composed of a sequence of Tasks that will collectively achieve the project’s goal. For each Task, you will be responsible for the typical scientific research workflow: motivating the problem, identifying the main methodological shortcomings in the literature, design and develop novel systems, plan and execute experiments, and report findings in articles to be published at top venues according to the project’s schedule. Periodic meetings and feedback will ensure the success of your degree and of the project overall.
Deadline : Open until filled
(30) PhD Positions – Fully Funded
PhD position summary/title: EU Marie Skłodowska-Curie Actions (MSCA) PhD Position: Bioprinting next generation functional tissues
This project is part of the EU-funded Print4Life, a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. This network has 8 doctoral candidate host institutions: Uppsala University, Universitat Politecnica de Catalunya, Dublin City University, Universidade do Minho, Helmholtz-Zentrum Hereon Gmbh, Hydrumedical SA, Brinter AM Technologues oy, ETH Zürich; and 6 additional partners: FHNW, PBC Ltd, XapHe, Quintus Technologies AB, CAU ZU Kiel and Region Uppsala (Uppsala University Hospital). The network aims to provide Advanced Research Training for Additive Manufacturing of the Biomaterials and Tissues of the Future. You will be one of 17 doctoral students across the entire network.
Part of the research will be conducted in collaboration with other doctoral students, other academic institutions, and industry. The study period is planned to include short research stays at the Finnish company Brinter and Uppsala University. The main supervisor will be Prof. Marcy Zenobi-Wong (ETH Zürich), and co-supervisors Dr. Marcin Kotlarz (ETH Zürich), Prof. Paul Callaghan (Uppsala University), Dr. Maurizio Gullo (University of Applied Sciences Northwestern Switzerland) and Dhayakumar Rajan Prakash (Brinter).
Deadline : December 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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