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 student in Embedded Systems and Hardware Prototyping
The Sensing, Interaction & Perception Lab is looking for a PhD student in Embedded Systems and Hardware Prototyping. This job ad is intentionally short and only complete applications will be considered.
Deadline : Open until filled
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD in Physical properties in black soldier fly larvae processing
Black soldier fly processing is an emerging technology for the recycling of organic waste. Waste treatment performance, composition and quality of feed and fertilizer products, as well as temperatures and emissions from the bioconversion processes, are highly feedstock dependent. Previous studies have primarily emphasized the role of biowaste nutrients, overlooking the influence of physical properties such as texture, consistency, viscosity, bulk density, porosity, particle size, and colour. Altering physical biowaste properties may influence bioconversion by altering biowaste ingestion and egestion, larval aggregation and thermoregulation as well as gut residence times. In addition, altering physical properties may change oxygen available to microbes initiating a chain of interconnected reactions such as increased microbial heat, nutrient competition between larvae and microbes, emissions of greenhouse gas emissions by microbial respiration and production of defence compounds by larvae such as antimicrobial peptides and melanin. Understanding the effects of physical properties on heat generation will be of particular importance as it could impact biowaste treatment time and the production of high-value products, such as melanin and antimicrobial peptides. You will conduct cutting-edge research to entangle the influence of biowaste’s physical properties on various aspects of the bioconversion process as described above. The objective is to understand the influence of physical parameters on the bioconversion process and identify optimal process windows, ultimately leading to the development of practical tools. The project background should be seen as a broad framework that can be detailed and altered based on your background and interests.
Deadline : Open until filled
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD position: Theoretical and numerical modeling of dynamic fracture of nonlinear materials
This PhD position will focus on the fracture properties of materials with non-trivial mechanical properties. The objective is to develop theoretical and numerical models for NLEFM. This amounts in investigating how a nonlinear elastic response modifies features associated with the behavior of elastic fields in the vicinity of the propagating crack front and how they affect its dynamics. Different approaches for incorporating the material properties will be explored and evaluated. The theoretical and numerical results will then be compared to experimental data collected by collaborators and used to study the fundamental mechanisms governing the failure of nonlinear elastic materials. Ultimately, the methodology will be generalised to be applied to materials with any unconventional mechanical elastic response.
Deadline : Open until filled
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral position: Machine learning approaches for highly multiplexed organoid phenotyping
We are looking for a talented and highly motivated doctoral candidate with a strong research interest in the fields of stem cell technologies, bioengineering, single-cell and spatial omics technologies and computer science. You will work in close collaboration with multidisciplinary experts to establish data processing and basic analysis pipelines for spatial single-cell phenotyping data on 2D and 3D organoid sections, and to develop novel machine learning algorithms for identifying phenotypic differences in organoid models of disease. A collaborative personality and spirit are required in this project in which close cooperation of academia and industry is essential for speeding up the development and implementation of bioengineering in translational medicine.
Deadline : Open until filled
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral position: Cell state programming through module targeting – computational
We are looking for a talented and highly motivated doctoral candidate with a strong research interest in the fields of single-cell genomics, genome editing technologies and generating organoid models of disease. In close collaboration with multidisciplinary experts you will use single-cell genomic atlases to infer genetic perturbation and identify targets linked to a disease-associated cellular state. Engineering of multiplexed CRISPR guide RNA arrays for a disease-associated cellular state induction and dataset analysis from first-generation programming experiment are essential parts of the project. A collaborative personality and spirit are required in this project in which close cooperation of academia and industry is essential for speeding up the development and implementation of biological engineering in translational medicine.
Deadline : 30 August 2023.
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral position: Cell state programming through multiplexed gene editing – experimental
We are looking for a talented and highly motivated doctoral candidate with a strong research interest in the fields of single-cell genomics, genome editing technologies and generating organoid models of disease. You will work in close collaboration with multidisciplinary experts to identify and subsequently induce disease-associated cell states using single-cell genomics and cell programming. Design, optimization, and execution of high-throughput experiments are the main focus of the project. A team-oriented mindset and collaborative personality are required in this project in which close cooperation of academia and industry is essential to accelerate the progress of bioengineering in translational medicine.
Deadline : 30 August 2023.
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher – Plant Protein Refining
We are looking for someone highly motivated to conduct research in innovative food process engineering topics. Several food engineering courses on thermal, electromagnetic, and mechanical food processing are going to be supported. You are going to have the chance to develop independent food process engineering initiatives, preferably in collaborative projects with our international/national research and/or industry partners.
Deadline : Open until filled
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral position: ABSYS – Advancing Bypass Systems for Downstream Migration of European Key Umbrella Fish Species
The ABSYS project consists of four main tasks linked to the work packages to reach its overarching goals. In Task I is devoted to a literature review of laboratory and field studies on various bypass systems. In Task II, hydraulic and live-fish tests of innovative bypass system layouts will be conducted in a large etho-hydraulic flume at VAW. The bypass system designs will be numerically developed by the Computational Fluid- and Morphodynamics (CFM) group of VAW and constructed in a 1:1 Froude model in the flume. In Task III, the hydraulic and live-fish tests of the optimum bypass layouts will be conducted with the partners in a semi-natural flume in the Vattenfall laboratory, Sweden for 6-8 weeks. Task IV investigates operational aspects of the innovative bypass system such as clogging by sediment and floating debris in the etho-hydraulic flume. In the laboratory tests, Acoustic Doppler Velocimetry (ADV) will be used to measure flow velocities, and video-based 3D fish tracking systems are employed to determine fish tracks and concomitant swimming kinematics. Hydraulic and fish data will be analyzed to investigate the effect of turbulent flow structures generated by the different bypass layouts on the swimming behavior of target fish species and determine their fish passage efficiency under various flow conditions. Live-fish tests will be conducted at VAW and Vattenfall laboratories in collaboration with the IfU of ETH Zurich, NINA, and Vattenfall AB. Strong Python (mainly) and MATLAB coding for camera calibration, image analysis, and animal tracking and data analysis skills are required for the position. You will conduct the research activities defined in the four tasks of the project, publish the research results in scientific journals and present them at international conferences and workshops. The candidate will take fish handling courses to conduct live-fish tests in the laboratory and other courses required in the scope of the doctorate at ETH Zurich (a total of 12 ECTS).
Deadline : 31st August 2023.
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD position “Re-engineering informal construction through circular practices and models”
This PhD position on circular practices in informal construction is at the Chair of Circular Engineering for Architecture (CEA) at ETH Zurich, Switzerland, and will be conducted in coordination with the Housing unit (School of Built Environment and Development Studies), at the University of KwaZulu-Natal, South Africa. We are seeking a highly motivated and qualified PhD researcher to join our team working on developing material passports for low-income economies in the context of re-engineering informal construction through circular practices and models. You will be responsible for conducting research and developing methodologies for the creation and implementation of material passports in South African vulnerable communities.
Deadline : 15.08.2023
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student position – Microalgae in Human Nutrition and Health
As a doctoral student, you will be responsible for research working towards exploring how to produce bioavailable iron in microalgae during bioprocessing, labelling iron using stable isotopes in photobioreactors, and investigating the bioaccessibility and bioavailability of microalgae-derived iron using simulation of gastrointestinal food digestion and human cells.
Deadline : Open until filled
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Machine Learning for Mesh-based Representations of Deformable Objects
As a PhD student, you will develop and publish new software frameworks and their real-world validation. You will regularly present your work at international robotics and machine learning conferences. Your responsibilities will also include supervising bachelor and master students in their thesis works, supporting the Soft Robotics Laboratory in teaching its graduate classes and preparing grant proposals.
Deadline : Open until filled
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(12) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher – Microalgae: a resilient and dense source of Micronutrients
Microalgae are unicellular microorganisms that are getting increasing attention as one of the more sustainable novel foods globally. Microalgae can reach higher areal productivity than terrestrial plants, do not require arable land or fresh water, and can use fertilizers with almost 100% efficiency. Microalgae can provide a significant number of essential nutrients, such as vitamins, minerals, and essential fatty acids and amino acids, to support human health. In the last decades, microalgae have been the focus of extensive research as a novel source of proteins and lipids, while vitamins and minerals (micronutrients) received less attention. Microalgae however are considered the most resilient micronutrient-dense food source. For instance, some microalgae can contain 100 times more iron compared to beef and 500 times more vitamin D than cow milk. Given their extremely high nutritional value, daily consumption of 2-10 g of microalgae could provide most of the micronutrients needed in a healthy diet. Micronutrient deficiencies cause morbidity and mortality affecting human potential worldwide. Currently, the main sources of bioavailable micronutrients are vegetables, fruits, and animal-based products. Climate change is expected to strongly impact the productivity of these agricultural products. Vulnerabilities of our food systems together with demands of the growing human population (projected 10 billion by 2050) are expected to increase the price of these nutrient-dense foods, thus limiting their access, and therefore aggravating the micronutrient deficiency-related issues.
Deadline : Open until filled
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Lower-Field Cardiac Magnetic Resonance Imaging
The position concerns MR pulse sequence design and image reconstruction, data inference and fusion using classical and physics-informed machine learning approaches to advance time-resolved morphological and tissue property imaging of the heart. The work will involve numerical simulations, experimental measurements and applications on volunteers. Together with the team and clinical partners, example data in patients will be obtained to populate digital twins and to indicate the diagnostic value of lower-field deep CMR imaging.
Deadline : Open until filled
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Position in Computational Origami
Are you creative and can work across disciplines? Are you interested in engineering design, computing and fabrication? Do you have a hands-on approach? We are looking for excellent applicants with a Master degree in Mechanical Engineering, Computer Science, Applied Mathematics, Materials Science or a related area of study, who are motivated to carry out internationally leading research. Knowledge in one or more of the following topics is an advantage: engineering design, computer-aided engineering (CAE) especially FEM, computational structural mechanics, computational design, optimization, additive manufacturing, origami, mathematical programming, applied computing, and applied artificial intelligence and machine learning.
Deadline : October 1, 2023.
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD position: Robot-assisted eDNA collection methodologies for biodiversity monitoring
The PhD student selected for this position will innovate the design, perception and operation of drones to advance applications of eDNA technologies for biodiversity monitoring. The PhD student will undertake the following research tasks:
- Exploring and developing automatable and scalable collection methods of eDNA using drones in diverse terrestrial ecosystems such as forests and agricultural fields. This will also involve designing solutions for multiple eDNA sample types, including vegetation surface, water bodies, and air.
- Developing computer vision techniques for the identification of relevant eDNA sampling locations.
- Developing control algorithms to automate the eDNA collection combining on-board sensing and ecological knowledge.
- Conducting thorough testing of the developed solutions in real-world conditions to ensure their efficacy and reliability.
Deadline : Open until filled
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD position: design and manufacturing of soft aerial robots
Within the broad scope of the upcoming European project, the PhD candidate in this position will contribute to the domain of design, manufacturing and propulsion of soft aerial robots. The responsibilities encompassed by this role include conceiving novel design strategies for soft frames in aerial robots, taking into account constraints derived from evolutionary algorithms and manufacturing processes, in addition you will be implementing manufacturing process for soft aerial robots, exploring and developing propulsion units for maneuvering and morphing capabilities in soft aerial robots, as well as contributing to the validation and field testing of soft aerial robots in relevant scenarios, such as unmanaged forests and industrial infrastructures, and contributing to the project reporting and dissemination activities.
Deadline : Open until filled
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(17) PhD Degree – Fully Funded
PhD position summary/title: PhD position on 3D Biohybrid Neuromuscular Tissues for Neuronal Control of Muscle Actuation
The PhD focuses on developing a 3D tissue engineering platform for integrating neurons with skeletal muscle cells in a 3D construct. In biohybrid robotics, we lack long-term compatible biological control methods of muscle actuation, as we rely on global electric fields to induce muscle contraction. Your work would address this unmet need and pave the way for the next generation of controllable and smart biohybrid robots. Crucially, your work would also serve as a platform to study the biology of neuromuscular pathologies and treatment methods as an in vitro model with a functional readout alongside more traditional biochemical characterization methods. Close collaborators of the project would include all members of the ALIVE biohybrid project stream (see description below). You would also contribute to the efforts of an SNF Sinergia consortium focused on Machine-learned Design and Bioxolography of Functional 3D Skeletal Muscle Tissues. The consortium consists of 4 research groups within Switzerland and Germany, with expertise in cell biology, muscle tissue engineering, and volumetric 3D printing techniques.
Deadline : Open until filled
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD in atmospheric chemistry – Photolytic versus oxidant-driven organic aerosol aging
You will contribute to the development and testing of an OPSI and implement the coalescence measurements. You will perform ozonolysis and photochemistry experiments, and compare the results with processed-based aerosol chemistry simulations. The project duration is three years and the position can be taken as soon as possible.
Deadline : Open until filled
(19) 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
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD in land use decision modeling
We are looking for candidates interested in land use decision modeling using an agent-based model. The project will be embedded in a policy lab in the Canton of Graubünden, Switzerland, to investigate ecosystem services’ tradeoffs related to land use change in Swiss mountainous areas, experiencing fast climate change.
Deadline : September 15th, 2023:
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Positions at the Institute of Electromagnetic Fields on Optical and THz Communication
These PhD positions are created to reinforce the group on the development of plasmonic components and their integration in photonic circuits towards the next generation of high-speed transceivers for optical and THz communication. Additionally, you are contributing to the development of a plasmonic platform that joins state-of-the-art components to enable advanced functionalities. Besides your research activity, you are expected to study towards the doctoral degree and participate in our teaching activities. This PhD position is fully funded with a competitive salary according to ETH guidelines. Applications will be considered until the position is filled.
Deadline : Open until filled
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD in linking forest science and forest practice
The PhD is planned for a period of four years. The PhD student will be part of the UPSCALE project team and be responsible for the work package “Connecting science and practice”. In the PhD you will have to:
- Identify potential user groups of the web-based information platform on forest drought risk in Switzerland developed in UPSCALE
- Identify the users’ needs and harmonize them with the information provided by UPSCALE
- Collect user feedbacks on prototypes of the information platform to improve it
Deadline : Open until filled
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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