ETH Zurich, Switzerland invites online Application for number of PhD Positions at various Departments. We are providing a list of Fully Funded PhD Positions available at ETH Zurich, Switzerland.
Eligible candidate may Apply as soon as possible.
(01) PhD Position – Fully Funded
PhD position summary/title:–PhD Position in Digital Health Technologies for Combined TMS-NIRI Neurotherapy in Stroke Rehabilitation
Stroke is a leading cause of long-term disability worldwide, with a strongly increasing prevalence that leaves two thirds of patients with long-term upper-limb impairments, impacting their independence and quality of life. Neurorehabilitation in stroke is a complex field, challenged by a limited understanding of the neural mechanisms underlying recovery as well as the lack of effective strategies to target these mechanisms and efficient biomarkers to evaluate and monitor therapy response.
We aim to address these challenges by combining non-invasive brain stimulation (NIBS) using transcranial magnetic stimulation (TMS) and a cortical, focal optical imaging approach using near-infrared imaging (NIRI). Our goal is to combine these two promising technologies and transfer them into a clinically viable solution to provide neurotherapy to stroke patients. The utilization of biomarker-guided assessments for novel interventions aligns with the contemporary paradigm shift towards personalized medicine in stroke research and clinical practice.
Deadline : Open until filled
(02) PhD Position – Fully Funded
PhD position summary/title:–PhD position in Mechanobiology on the role of the extracellular matrix in signal transduction
The objective will be to measure reaction rates at the cell surface and pathway activation under various molecular confinement conditions. You will design and fabricate confinement conditions through adhesive patterning of surfaces, microfluidic systems, and 3D cell encapsulation in hydrogels. You will use advanced imaging techniques, as well as molecular and cellular assays to assess pathway activation. Applications to both single cells and 3D cell aggregates are envisaged.
In addition, you are expected to contribute to lab duties, and will have the opportunity to contribute to teaching within the group.
This project contains aspects of cell biology, mechanobiology, biophysics, molecular biosciences, and cell substrate engineering. Throughout the PhD, you will gain expertise in these topics. You will also learn a number of techniques in cell and molecular biology, advanced imaging techniques (using fluorescent reporters, FRET, FCS), fabrication and functionalization of hydrogels, and microfabrication.
Deadline : June 2nd 2024
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(03) PhD Position – 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.
Deadline : Open until filled
(04) PhD Position – 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
(05) PhD Position – Fully Funded
PhD position summary/title:–PhD student in Physiological Sensing/BioEng
The Sensing, Interaction & Perception Lab is looking for a PhD student in physiological sensing. This job ad is intentionally short and only complete applications will be considered. In short, promising applicants have built their own physiological sensor before (e.g., PPG, ECG) and custom PCB as part of an embedded device.
Deadline : Open until filled
(06) PhD Position – 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
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(07) PhD Position – Fully Funded
PhD position summary/title:–PhD Position: Nanotechnology for Gas Sensing
Modern electronic devices (e.g. smartphones) are indispensable tools for billions of people. They interact with us through voice recognition, and activity tracking, give us orientation, record videos and connect us by communication with the world. Surprisingly, chemical recognition is missing. Nanotechnology offers solutions to tackle these challenges by creating sensing materials with large specific surface areas and tailored surface chemistry to distinctly interact with molecules.
Deadline : Open until filled
(08) PhD Position – Fully Funded
PhD position summary/title:–PhD Position: Molecular sensor system engineering for food applications
Chemo-resistive gas sensors based on nanostructured semiconductors are promising for this challenge. They feature high miniaturization potential, low fabrication cost and can be integrated readily into handheld devices due to their compact design. Major drawbacks of common metal oxide sensors are poor selectivity, sensitivity and stability that impede their widespread application for food monitoring, especially if markers are chemically similar (e.g., methanol/ethanol during fermentation). However, recent discoveries in our lab on the processing of nanostructured sensor and filter materials enable us today to overcome this selectivity limitation. Therefore, novel materials, filters and the resulting devices need to be explored to open new avenues for chemical sensing in food applications.
Deadline : Open until filled
(09) PhD Position – 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. Such an approach will require:
- Extending and improving an existing framework for optimizing pulse sequences based on effective Hamiltonian calculations
- Numerical simulation of generated sequences to check their performance under a large range of experimental conditions
- Implementing these sequences on commercial NMR spectrometers to check their experimental performance on model systems
- Iterative improvements in the optimization tools to improve the performance of the generated sequences
Deadline : Open until filled
(10) PhD Position – 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
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(11) PhD Position – Fully Funded
PhD position summary/title:–PhD Position in Robotic System Integration for Musculoskeletal Robotic Hands
The future of robotic manipulation lies in the development of systems that closely mimic the complex structures and capabilities of the human hand. Traditional motor-driven robotic hands, while effective for a range of tasks, lack the versatility, sensitivity, and adaptability of their biological counterparts. This project focuses on bridging this gap by leveraging musculoskeletal robot technologies. You will embark on a comprehensive study of existing muscle-like technology and robotic hands, drawing inspiration from nature to design and develop a robotic hand that outperforms classic designs in terms of dexterity, efficiency, and functionality. This involves integrating advanced muscle and tendon systems, incorporating cutting-edge sensing and proprioceptive technologies, and controlling the hand through sophisticated control algorithms and machine-learning techniques.
Deadline : Open until filled
(12) PhD Position – Fully Funded
PhD position summary/title:–PhD Position at the Chair of Strategic Management and Innovation (SMI)
Project and Supervision: 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. Expected starting time: Q4 2024.
Deadline : 31.05. 2024
(13) PhD Position – 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 Position – 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 Position – 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 Position – Fully Funded
PhD position summary/title:–PhD Positions on the Application of Generative AI in Customer Service
The research focuses on comparing generative chatbots and human interactions to identify optimal customer service practices. Emphasizing the advanced capabilities of generative chatbots, the project investigates their potential in providing personalized, empathetic, and efficient customer experiences. Through extensive empirical studies, including controlled experiments and real-world application analyses, our research will provide actionable insights into enhancing chatbot design and interaction strategies, ultimately aiming to elevate customer satisfaction across digital platforms.
Deadline : Open until filled
(17) PhD Position – 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 Position – Fully Funded
PhD position summary/title:–Multiple PhD positions on “Single Cell Proteome Profiling”
Genomics revolution occurred because of the invention of single-molecule sequencing technologies, and consequently it has profoundly improved precision medicine and diagnostics. Single-cell proteomics and secretomics is on its way to make a similar groundbreaking impact on our future understanding of cells and will significantly contribute to the development of drugs and cell-based therapies.
The main objective of the ERC funded project is to pioneer research direction of in situ cell profiling by identification of proteins, their abundance and temporal distribution at a single-cell level using nanopore sensors. The approach is the first of its type that can potentially address important biology questions at single-cell level and with a much higher temporal and spatial sensitivity compared to other existing methods.
Deadline : Open until filled
(19) PhD Position – 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
(20) PhD Position – Fully Funded
PhD position summary/title:–PhD in Electrochemical and materials engineering for nerve regeneration
This unique project aims to facilitate nerve regeneration and repair using an electrochemical and material-centric approach. Leveraging the expertise of both the Lukatskaya and Herrmann Labs, the research will involve interdisciplinary approaches combining materials science, fundamental electrochemistry, advanced fabrication and characterization techniques, and surgical implementation in clinically relevant models at the Balgrist University Hospital.
Deadline : Open until filled
(21) PhD Position – Fully Funded
PhD position summary/title:–PhD position in Electrochemical Energy Storage and Conversion
Our group studies fundamental processes in solutions, materials, and at the electrode-electrolyte interfaces using a combination of the different in-situ and ex-situ characterization techniques coupled with detailed electrochemical studies. We then apply this fundamental knowledge to the design of new electrolytes for batteries and electrocatalysis that can deliver improved performance, cost, efficiency, and safety. Our recently renovated labs are located in the Zentrum campus and offer well-equipped electrochemistry and wet chemistry laboratory space. For in-situ studies, we have differential electrochemical mass-spectrometry, electrochemical quartz crystal microbalance with dissipation monitoring EQCM-D, and in-situ FTIR.
Deadline : Open until filled
(22) PhD Position – Fully Funded
PhD position summary/title:–PhD Position in Self-assembled Colloidal Micromachines
Artificial intelligence enables robotic machines to autonomously adapt to their surroundings and perform complex tasks. Unlike large machines, micro- and nanomachines cannot host bulky computational units to generate intelligence. The intelligence of small-scale machines, including sensing, control and adaptation, can only stem from their physical bodies through various responsive mechanisms. Despite growing efforts in this field, encoding diverse types of intelligence into micromachines is still essentially unexplored.
In this project, we aim to develop a toolbox-like assembly strategy to build intelligent micromachines with multiple responsiveness. The expected output of this project will address fundamental questions in robotics as well as advance the development of intelligent micromachines for complex biomedical and environmental applications.
Deadline : Open until filled
(23) PhD Position – Fully Funded
PhD position summary/title:–PhD Position in Digital Identities for Regenerative Materials
The PhD position is focused on leveraging digitalization for circular strategies in construction. The selected candidate will be involved in developing and testing tools for the identification and tracking of building materials, operating at the intersection of construction informatics, engineering, and logistical aspects.
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.
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