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: Doctoral (PhD) student in Integrated planning and operation of energy systems
In the framework of the NCCR Automation, we are looking for a motivated doctoral student to investigate and develop methods which target energy system design and operation jointly. To date, the traditional methods of planning and operating energy systems have been mostly separated. A particular focus of our novel approach lies on investigating bi-level optimization and/or diffusing timescale methods which serve as candidates for energy system related applications. Challenges encompass – among others – harmonizing the differing design and control objectives, bridge the differing timescales of interest and comparing and contrasting candidate approaches. We plan to utilize historical data in the Empa’s NEST demonstrator and its multi-energy backbone to design and test novel electrical and thermal energy management systems. Later in the doctorate we envision real-life deployment of the resulting methods to the design of the energy system of a district in Switzerland.
Your goal will be to translate your own research ideas to tackle these challenges, in close collaboration with our interdisciplinary team and external scientific and industry partners. As part of this process, you will support our master students, publish in scientific journals, and participate in conferences.
Deadline : Open until filled
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Machine Learning Seismology
The PhD student will focus on constructing and training advanced machine learning models tailored to characterize induced earthquakes recorded by various instruments, including distributed acoustic sensing, acoustic emission sensors, and geophones. With these efforts, the PhD candidate will improve the current state-of-the-art of real-time seismic monitoring and induced earthquake forecasting by implementing advanced machine-learning techniques and integrating physical understandings of rupture dynamics. The PhD candidate will apply the developed methodologies and models to various geological test sites to extract high-resolution earthquake catalogs, analyze rock rupture mechanisms, and benchmark different induced earthquake forecasting models.
Deadline :June 15th, 2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Physiological Sensing/BioEng
We will work on novel sensing prototypes for physiological signals, embedded systems, signal processing, and physiological modeling related to our previous work.
Deadline : Open until filled
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Student in Environmental Politics
You will contribute to a Swiss NSF funded research project that examines how lower income countries deal with problems of air pollution. The project focuses on how government, interest group, and citizen interests and behavior affects efforts to find solutions in this policy area that are both effective in public health and environmental terms as well as politically feasible.
Deadline : Open until filled
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD and Postdoc Positions in European Politics
The research tasks include: data collection and analysis on European Union boundary rules and resources; quantitative studies of boundary change in the European Union; and comparative case studies of boundary reconfiguration in response to boundary shocks and crises. The positions leave room for independent research in the thematic domain of the projects.
Deadline : Open until filled
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Position: Nanotechnology for Gas Sensing
This full-time position offers students an exciting opportunity to perform cutting-edge research on nanostructured gas sensors to explore interfacial phenomena and new materials. You will join an inclusive, diverse, and supportive working environment that praises scientific curiosity and creativity. The starting date is as soon as possible.
Deadline : Open until filled
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Position: Molecular sensor system engineering for food applications
This full-time position offers students an exciting opportunity to perform cutting-edge research on the engineering of sensor systems (sensor materials, filter and arrays) for food applications. You will join an inclusive, diverse, and supportive working environment that praises scientific curiosity and creativity. The starting date is as soon as possible.
Deadline : Open until filled
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Solid-State NMR
The PhD will focus on implementing numerical optimization strategies to design pulse sequences for high-resolution solid-state NMR under magic-angle spinning. The efficiency of such pulse-sequence elements is key for improving the sensitivity of NMR experiments. To obtain the best performance not only parameters of the spin systems but also experimental imperfections of the spectrometers have to be included in the modelling of the experiment.
Deadline : Open until filled
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD position: Development of catalysts to convert CO2 into alcohols
Specifically, this project, by combining high throughput experimentation, synthesis of model catalysts, operando characterization, and molecular modelling aims at identifying novel catalyst families and developing structure-performance relationships for catalysts for the hydrogenation of CO2 to higher alcohols (such as ethanol). The role of this specific PhD position will be the development of model catalysts and their operando characterization using X-ray absorption spectroscopy, X-ray total scattering, and infrared spectroscopy to identify the catalytically active sites/motifs.
Deadline : Open until filled
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Robotic System Integration for Musculoskeletal Robotic Hands
The doctoral research will be multidisciplinary, involving the analysis of current musculoskeletal technologies and the design of innovative robotic hands.
You will focus on:
- Analyzing existing muscle technologies and robotic hand systems, studying natural mechanisms of manipulation
- Designing and developing a robotic hand using muscle-like actuators and tendons, aiming for superior performance compared to traditional motor-driven hands
- Integrating sensing and proprioceptive technologies to enhance the hand’s functionality and control
- Employing advanced control strategies and machine learning approaches, including imitation learning, for effective manipulation
Deadline : Open until filled
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in Dynamic stochastic learning of train dynamics as enabler to highly automated train operation
The ultimate objective is to be both precise /accurate, parsimonious, and useful for decision making. Moreover there is a lot of expert knowledge to be considered at multiple levels, both as input of the model specification, and as output of the model estimation. The process, data and output should determine standards and specification for both human driver and automated train operations, and trajectory planning for any downstream optimization of the schedule, for both passenger trains, and especially for freight trains (which have very variable composition, weight, length).
Deadline : 15.05.2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Position at the Chair of Strategic Management and Innovation (SMI)
The selected PhD candidate will embark on a research project culminating in a dissertation of at least three high-quality papers intended for top-tier journals. Co-supervision will be provided by Prof. Georg von Krogh, Dr. Ann-Kristin Weiser, and a team of senior researchers at SMI.
Deadline : 31.05. 2024
(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Student, Food Chemistry and Biochemistry
The group is looking for a doctoral student to work on a project related to the exploration and chemical characterization of grain-based food materials and their reactions esp. in low moisture systems. We seek for a highly motivated student with good skills in chemical analysis and solid understanding of food processing. In particular experience LC-MS, GC-MS and EPR in is considered a benefit, in addition to the other standard analytical techniques (GC, HPLC, NMR, FT-IR, measurements of physical properties). Furthermore, expertise in food processing and technology in general is considered an advantage. Due to the multidisciplinary nature of the research topics the applicants should be motivated to adapt new techniques quickly.
Deadline : Open until filled
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Position: Personalized Prediction and Prevention of Dropouts in Digital Biomarker Studies
You must be eligible for a PhD at ETH Zurich, and you will research the design, development, and evaluation of digital biomarkers in metabolic health with a specific focus on personalized prediction and prevention of dropouts in digital biomarker studies. As part of our team, you take direct project responsibility. You will design protocols for digital biomarker studies and identify and systematically assess intervention components that promote adherence to digital biomarker studies (e.g., based on behavioral economics, health psychology, marketing, and personalized motivational messages delivered by large language model AI chatbots). You will also develop methods to predict and prevent dropouts in such studies. You will work in a highly interdisciplinary team at the intersection of computer science, medicine, and business innovation.
Deadline : Open until filled
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate for developing physics-based loss models of advanced magnetic devices for future highly efficient drive and converter systems
We are looking for outstanding, highly motivated individuals interested in pursuing a PhD in the multidisciplinary and important research area of modelling and optimisation of magnetic components and electric machines. Highly efficient as well as compact transformers and chokes are critical elements in most power electronic systems, because these components drastically influence the overall efficiency and power density of converters. Similarly, in electric drive systems the overall efficiency and power density are significantly affected by the iron and winding losses in the machine. In order to pace with the rapid development of semiconductors (e.g. wide bandgap SiC MOSFETs/GaN HEMTs), advanced concepts for magnetic devices and in particular comprehensive models of the core losses should be developed by you. These models should be integrated in a computationally efficient way into optimisation procedures for power electronic converters and are essential for achieving outstanding system efficiencies and power densities as well as for gaining a competitive edge. For verifying the new concepts and the developed models, you will design and build novel core loss characterisation systems and evaluate the loss characteristics in detail by measurements. This project is part of an ongoing wider modelling framework development at HPE and also offers the opportunity to collaborate with other PhD candidates. A recent PhD thesis at HPE has also developed some physical loss models for ferrite core devices, which can be used as a basis for the project.
Deadline : Open until filled
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Positions on the Application of Generative AI in Customer Service
Selected candidates will engage in groundbreaking research, contributing to publications in top-tier journals. Responsibilities include handling generative chatbot models, analyzing customer interaction data, and exploring innovative chatbot applications in customer service. Additionally, PhD students will assist in teaching and administrative duties, enriching their academic and professional skills.
Deadline : Open until filled
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Computer Science for Circular Construction
The selected candidate will be involved in developing a new service for circular information management for construction elements and reality capture in existing buildings using computer vision and machine learning. It operates at the intersection of computer science, civil engineering, and architecture.
Your responsibilities will include the development of both theoretical concepts and practical tools for the construction sector. Additionally, you are responsible for the development of theoretical concepts, automated workflows and algorithms, together with industry and research consortium partners in Switzerland. The exploration of implementation possibilities, validation and testing of proposed and developed solutions in pilot projects are also part of your expertise. As well as the engagement and collaboration with stakeholders such as construction companies, standardization bodies, consultants, and other industry partners to promote the adoption of the developed tools. Furthermore, the active participation in research activities, including publishing scientific papers and presenting findings at conferences and workshops, and the supervision of Master, and/or Bachelor students are your responsibility.
Deadline : 15.05.2024
(18) PhD Degree – Fully Funded
PhD position summary/title: Multiple PhD positions on “Single Cell Proteome Profiling”
- You will be developing a platform for the detection of protein production and secretion in single cells. An example of application is to study antibody secretion in immune cells upon their activation
- You will be optimizing recently established scanning nanopore microscope for specific detection of proteins in complex physiological solutions, addressing these open research challenges:
- Specificity of the sensor towards selected proteins: Enhancing the contrast for specific proteins
- Data analysis: Improving data analysis approaches for capturing more information from each individual protein
- Sampling from single cells: Developing methods for better sampling from individual cells, and handling of small volume samples
- You will be collaborating with colleagues from the machine learning domain to improve data analysis
- You will be responsible for project meetings, reporting, scientific publications, and conference/seminar presentations
- You will supervise master/bachelor students
Deadline : Open until filled
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD student in nonlinear optics for analog computing
The PhD project aims to exploit the large number of modes supported by the random structure to enable large-scale nonlinear optical operators for photonic machine learning and quantum optics. The former relies on the second harmonic generation to implement a large reservoir of nonlinear operations, while the latter involves the theoretical and experimental characterization of the spontaneous parametric down-conversion (SPDC) process in nonlinear disordered media, and the subsequent control of the generated quantum states.
The project will include all steps from: fabrication of the nonlinear disordered samples, carried out in the group’s chemistry lab, followed by optical and material characterization; investigation of the fundamental properties of the interplay between multiple scattering and nonlinear generation; design and implementation of photonic neural network based on the large reservoir of random nonlinear operations; theoretical and experimental investigation of the SPDC process in random nonlinear media and the control of the generated photons’ state.
Deadline : Open until filled
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD position: Development of an in vitro platform to investigate glioma – neuron interactions
We are seeking a highly motivated, proactive and enthusiastic student for a PhD project in the Bio Engineering Laboratory who will want to work in an international environment.in the Department of Biosystems Science and Engineering of ETH Zurich in Basel, Switzerland.
Deadline :May 15th 2024
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD in Electrochemical and materials engineering for nerve regeneration
- Understand fundamental drivers of nerve regeneration
- Design and synthesize novel electroconductive materials for nerve regeneration.
- Develop and characterize conduit prototypes, assessing their performance and safety.
- Collaborate with a dynamic team of scientists, engineers and surgeons to integrate smart materials and sensing technologies into the conduit design.
- Analyze data and publish findings in high-impact journals.
- Present research at leading national and international conferences.
Deadline : Open until filled
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Electrochemical Energy Storage and Conversion
This full-time position offers students an excellent opportunity to delve into energy science and gain deep fundamental knowledge of electrochemical processes. You will join an inclusive, non-discriminating, and supportive working environment that praises scientific curiosity and creativity.
Deadline : Open until filled
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Self-assembled Colloidal Micromachines
We offer a full-time position for the duration of your 4-year doctoral studies starting immediately or upon mutual agreement. You will work in an interdisciplinary team of researchers with strong expertise in polymers, colloids and microrobotics. Furthermore, you will collaborate with well-known researchers spanning from Switzerland, Germany to USA. Throughout the project there will be mentoring opportunities, including bachelor and master students’ projects and theses. You will actively participate in group and institute duties and activities. As an integral part of your work, you will publish your results in peer-reviewed journals and present them at (inter)national conferences.
Deadline : Open until filled
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Digital Identities for Regenerative Materials
As a PhD researcher, your responsibilities will include:
- Development of both theoretical concepts and practical tools to facilitate the identification and tracking of wood and clay in the construction sector
- Identifying the content of wood and clay IDs in the supply chain context in Switzerland, together with industry and research consortium partners
- Exploring implementation possibilities for digital IDs and how to connect them to the physical materials of clay and wood
- Validate and test proposed and developed solutions in pilot projects to assess their effectiveness and impact
- Engagement and collaboration with stakeholders such as government entities, consultants, and industry partners to promote the adoption of the developed tools and strategies
- Active participation in research activities, including publishing scientific papers and presenting findings at conferences and workshops
- Supervision of Master, and/or Bachelor students
Deadline : 01.06.2024
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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