PhD and Postdoc Positions at Swiss Federal Institute

24 October 2021

In this post, our Fastepo Team has listed all available PhD and Postdoc (positions) at the Swiss Federal Institute of Technology in Zurich (known as Zurich ETH) in Switzerland. We will update these vacancies regularly.

Swiss Federal Institute of Technology in Zurich

The Swiss Federal Institute of Technology is a public research university located in the city of Zürich, Switzerland. It was founded in 1855 and became one of Europe’s largest and most prestigious institutions. It has a strong focus on research and teaching with more than 17,000 students enrolled each year.

The Swiss Federal Institute of Technology is located in the center of Europe, sharing borders with countries with Germany, Italy, and France. Although living in Switzerland is not very cheap, the pay of students and researchers is high enough to enable them to live with high quality.

Fully funded PhD Positions at the Swiss Federal Institute of Technology (ETHZ)

Here you can find the list of the latest PhD positions at the Swiss Federal Institute of Technology. It should be noted that these positions are fully funded PhD Positions. We will update it regularly. You can follow each link to find out more about the vacancy.

Title: PhD position – Advanced detection and analysis of micro/nanoplastics in the environment (Swiss Federal Institute of Technology PhD)

Location: The Air Quality and Particle Technology group

Position Type: 100%, Zurich, fixed-term

Deadline: Open Until Filled

Job description:

They are actively seeking individuals to join their teams involved in the development of various sensors targeting plastics and biological pollutants, as well as advanced microscopy and microfluidics. This role offers a wide range of opportunities for the chosen candidate.

Requirements:

  • A master’s degree in chemical engineering, mechanical engineering, bioengineering, or related fields with a strong academic record is essential.
  • Proficiency in experimental techniques and prior experience in microfluidics, Raman spectroscopy/microscopy, or machine learning is highly desirable.
  • Strong command of the English language is a requirement for this position.

More Details and Apply.

Title: PhD position in Machine Learning for Mesh-based Representations of Robots and Deformable Objects (Swiss Federal Institute of Technology PhD)

Location: The Soft Robotics Laboratory

Position Type: 100%, Zurich, fixed-term

Deadline: Open Until Filled

Job description:

As a PhD student at their institution, you will be responsible for developing and validating new software frameworks, with a focus on real-world applications. Your role will also involve presenting your work at international conferences in the fields of robotics and machine learning. Additionally, you will have the opportunity to supervise bachelor and master students in their thesis projects, support the Soft Robotics Laboratory in teaching graduate classes, and assist in preparing grant proposals.

Requirements:

  • An ideal candidate is deeply interested in computer vision for robotic manipulation and possesses the motivation to independently explore various research domains to integrate knowledge and achieve research objectives.
  • They should be a diligent worker who is driven to publish innovative insights and contribute to advancing the research community. Effective communication of findings to both fellow researchers and the wider public is crucial.
  • Curiosity about emerging technologies, the ability to learn about complex objects, and an interest in understanding their physical properties are important attributes.
  • Candidates should demonstrate resilience in the face of challenges encountered during projects and possess adaptability when experiments yield unexpected results.
  • A strong background in object representations, computer graphics/vision, and physics-based simulation is required. Prior experience with robotics learning and (differentiable) simulations, including hands-on manipulation of deformable objects, real-time mesh reconstruction, and alignment with simulated or ground truth shapes, is highly desirable.
  • Proficiency in machine learning, particularly in the realm of deep learning for computer graphics, can be advantageous.
  • Excellent communication skills in English are a prerequisite.
  • Candidates should have a computer science or engineering background, holding BSc and MSc degrees or their equivalents in fields such as computer science, mechanical or electrical engineering, computational engineering, applied physics, or related disciplines. A strong academic record is expected.

More Details and Apply.

Title: PhD position in Differentiable Simulation and Machine Learning for Musculoskeletal Robotics (Swiss Federal Institute of Technology PhD)

Location: The Soft Robotics Laboratory

Position Type: 100%, Zurich, fixed-term

Deadline: Open Until Filled

Job description:

In this doctoral position, they emphasize simulation and computational aspects, with hardware fabrication handled by colleagues in the Soft Robotics Laboratory. The candidate will be responsible for designing and using experimental setups to validate simulations in the real world. A strong interest in hands-on work with robotic systems and validating simulations on actual robots is highly valued.

Requirements:

  • The ideal PhD student should have a keen interest in optimizing robots to meet specific functional requirements. They should be motivated to independently explore various research areas to integrate knowledge for this purpose.
  • Curiosity about emerging technologies, a willingness to learn about different muscle actuator types, and an understanding of their inner workings are important qualities.
  • Resilience in the face of project challenges and the ability to adapt quickly when experiments do not yield the expected results are essential.
  • The candidate should be a diligent worker driven to publish innovative insights and contribute to advancing the research community. Effective communication of findings to both a niche community of researchers and a broader public audience is crucial.
  • Background knowledge in numerical simulations, computational modeling, and shape optimization is required. Previous experience with robotics and (differentiable) simulations, including hands-on testing of robot performance and alignment with simulated outcomes, is highly desirable.
  • Proficiency in machine learning, particularly in the field of deep learning for scientific computing, can be advantageous.
  • Excellent communication skills in English are a prerequisite.
  • Candidates should possess a computer science or engineering background, holding BSc and MSc degrees, preferably in fields such as computer science, mechanical or electrical engineering, computational engineering, applied physics, or related disciplines. An outstanding academic record is expected.

More Details and Apply.

Title: PhD position in Electrochemical Energy Storage and Conversion (Swiss Federal Institute of Technology PhD)

Location: The Electrochemical Energy Systems Laboratory

Position Type: 100%, Zurich, fixed-term

Deadline: Open Until Filled

Job description:

The Electrochemical Energy Systems Laboratory (PI: Prof. Lukatskaya) at the Department of Mechanical and Process Engineering, ETH Zurich, is currently accepting applications for a PhD position in the field of electrochemical energy storage and conversion. They are seeking candidates interested in exploring fundamental processes in solutions, materials, and electrode-electrolyte interfaces. This position involves using a combination of in-situ and ex-situ characterization techniques, along with detailed electrochemical studies, to advance the design of new electrolytes for batteries and electrocatalysis. The laboratory is well-equipped and conveniently located on the Zentrum campus. In-situ research capabilities include differential electrochemical mass-spectrometry, electrochemical quartz crystal microbalance with dissipation monitoring (EQCM-D), and in-situ FTIR.

Requirements:

  • Candidates should hold a recent Master’s degree or be near completion in Chemistry, Material Science, or closely related fields from a globally recognized university.
  • The ideal candidates will be self-driven, highly motivated, creative, and enthusiastic about working in interdisciplinary teams.
  • While candidates from diverse backgrounds are encouraged to apply, having prior experience in areas such as batteries, electrocatalysis, electrochemistry, organic synthesis, or familiarity with synchrotron facilities and in-situ characterization techniques would be advantageous.

More Details and Apply.

Title: PhD position at the Institute for Biomedical Engineering (Swiss Federal Institute of Technology PhD)

Location: The Laboratory of Biosensors and Bioelectronics of the Institute for Biomedical Engineering

Position Type: 100%, Zurich, fixed-term

Deadline: Open Until Filled

Job description:

At LBB, they offer a distinctive opportunity to explore the forefront of single-cell instrumentation, where you will gain hands-on experience with FluidFM technology for the mechanical and electrical stimulation of individual cells.

Requirements: They are seeking candidates who possess:

  1. A passion for conducting experiments.
  2. Strong critical thinking abilities.
  3. Exceptional self-management skills.
  4. A master’s degree in Biophysics, Biology, or Biomedical Engineering.
  5. Preferably, experience with bioAFM during their master’s thesis.
  6. Not more than 6 months of residency in Switzerland between March 2022 and February 2024.

More Details and Apply.

Title: PhD Position in Self-assembled Colloidal Micromachines
(Swiss Federal Institute of Technology PhD)

Location: The Institute of Robotics and Intelligent Systems

Position Type: 100%, Zurich, fixed-term

Deadline: Open Until Filled

Job description:

They are offering a full-time position for a 4-year doctoral program starting on 01.01.2024. The role involves working in an interdisciplinary team specializing in polymers, colloids, and microrobotics. Collaborations with renowned researchers from Switzerland, Germany, and the USA are part of the opportunity. The position includes mentoring responsibilities, engagement in group and institute activities, and publication of research in peer-reviewed journals and conference presentations.

Requirements:

They are seeking candidates with the following qualifications:

  • A master’s degree in chemistry, materials science, or related fields from an accredited university.
  • A strong academic record and eligibility for doctoral admission at ETH Zurich.
  • Previous experience in responsive polymeric systems, particularly with nano-colloids.
  • A solid understanding of interfaces and colloid science, including emulsion and self-assembly.
  • Knowledge of microfluidic synthesis systems is advantageous.
  • A curious and open-minded attitude, along with effective communication skills.
  • Proficiency in both spoken and written English.

More Details and Apply.

Title: Doctoral Student in the field of Nanomagnetic Robotics (Swiss Federal Institute of Technology PhD)

Location: The Laboratory for Mesoscopic Systems

Position Type: 100%, Zurich, fixed-term

Deadline: Open Until Filled

Job description:

The Laboratory for Mesoscopic Systems, a collaboration between the ETH Zurich and the Paul Scherrer Institute, seeks a Doctoral Student specializing in nanomagnetic robotics. They will be tasked with the design and fabrication of innovative microscale robots integrated with nanomagnets. These robots will be actuated through magnetic fields and will be developed using cleanroom processes. The role also involves devising strategies to maneuver these robots across various environments and demonstrating their multifaceted applications.

Requirements:

  • Possession of a Master’s degree in physics, material science, mechanical engineering, or a related domain.
  • A penchant for hands-on, practical work.
  • Familiarity with magnetism and nanofabrication will be considered advantageous.
  • Demonstrated enthusiasm for research.
  • Strong team player with a collaborative mindset.
  • Flexibility to work across different laboratory settings.

More Details and Apply.

Title: PhD position in Differentiable Simulation and Machine Learning for Musculoskeletal Robotics (Swiss Federal Institute of Technology PhD)

Location: The Soft Robotics Laboratory

Position Type: 100%, Zurich, fixed-term

Deadline: Open Until Filled

Job description:

At the Soft Robotics Laboratory, we offer a fully-funded doctoral position for computational design optimization of electrohydraulic musculoskeletal robots. Our research group creates artificial muscles and attaches them to a rigid skeleton with ligaments and tendons to create adaptable, complex robotic systems. To achieve design optimization, we first need a physically validated simulation of robots driven by new electrostatic/electrohydraulic artificial muscles. We then apply this simulation in optimization settings for, e.g., both shape and control, in a multi-variable multi-objective co-optimization setting. We, therefore, consider implementing differentiable solvers for this application, starting from first principles, and later developing a deep learning surrogate for faster, potentially real-time, computation.

Job description

This doctoral position will focus mainly on the simulation and computational aspects, while most hardware components are fabricated and built by colleagues in the Soft Robotics Laboratory. Simulation to reality validation needs to be performed through experimental setups that the candidate should be able to design and use. A strong interest in working hands-on with robotic systems and validating simulations in the real world on robots is desirable.

As a PhD student, you will develop and publish on new software frameworks and their physical 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 in preparing grant proposals.

Your profile

You are interested in the optimization of robots for specific functional requirements, and are motivated to independently explore various fields of research for combining their knowledge to achieve this goal. You are curious about novel technologies, and learning about new muscle actuator types and understanding their inner workings. You persevere through challenges faced throughout the project, and can quickly adapt when experiments do not deliver the desired results. You are a diligent worker that is driven to publish new insights and lead the research community forward by communicating your findings to both a smaller community of researchers, as well as to a broader public audience.

You have background knowledge in numerical simulations, computational modeling, and shape optimization. Ideally, you have previously worked with robotics and (differentiable) simulations, with hands-on experience testing robots for their performance, and matching with simulated results. Machine learning knowledge, especially in the field of deep learning for scientific computing, can be beneficial. Proficient communication skills in English are required.

You should have a computer science or engineering background, with BSc and MSc degrees, in computer science, mechanical or electrical engineering, computational engineering, applied physics, or a related field. Your academic record is outstanding.

More Details and Apply.

Title: PhD position in Geobiology and Microbiology of Extreme Environments (Swiss Federal Institute of Technology PhD)

Location: The Geobiology Group of the Department of Earth Sciences

Position Type: 100%, Zurich, fixed-term

Deadline: Open Until Filled

Job description:

The PhD project focuses on investigating the impact of seismic activity and oxidative stress on subsurface microbial and viral communities. They seek candidates with a robust background in geobiology, environmental microbiology, computational biology, or related fields who have a keen interest in microbial evolution and extreme environments. This multifaceted project encompasses both experimental and computational aspects, including microbial enrichment experiments, underground field research at the Bedretto Underground Lab’s Deep Life Observatory, and metagenomic, metatranscriptomic, and metaproteomic analysis. The salary and working conditions align with ETH standards.

Requirements:

They are looking for individuals who:

  1. Possess a strong research inclination in geobiology, microbiology, and data science.
  2. Have proficiency in a programming language such as Python or R, which is mandatory.
  3. Demonstrate experience in either metagenomic analysis or experimental microbiology, which is preferred.
  4. Hold a Master of Science (MSc) degree in a related field.
  5. Are fluent in English.

More Details and Apply.

Open Postdoc Positions at the Swiss Federal Institute of Technology in Zurich

Here you can find all available Postdoc Positions at the Swiss Federal Institute of Technology in Zurich in Switzerland with the deadlines. We will update it regularly. Therefore, maybe next time you will find your matched positions.

Title: Postdoc position in dynamics of quantum materials under pressure

Location: The Quantum Material Dynamics group

Position Type: 100%,Zurich, fixed-term

Deadline: Open Until Filled

Job description:

The aim of this project is to investigate ultrafast dynamics of quantum materials under pressure, a critical factor in establishing their thermodynamic equilibrium. The research seeks to explore the dynamic response of these materials when subjected to ultrashort pulses of light, allowing for better control of their properties and informing theoretical advancements in modeling ultrafast material behaviors. This postdoc position is located within the Quantum Material Dynamics group, led by Prof. Elsa Abreu, at ETH Zürich’s Institute for Quantum Electronics. It offers a full-time commitment, with possible starting dates available until the end of 2023.

Requirements:

They are looking for an ideal candidate who:

  1. Holds a PhD degree, preferably in physics, but alternatively in material sciences.
  2. Possesses significant experience in conducting measurements under high pressure, which is a strong requirement, and has a background in condensed matter physics.
  3. Has prior experience with time-resolved experiments.
  4. Demonstrates proficiency in both oral and written English.
  5. Exhibits enthusiasm, creativity, and self-motivation.

More Details and Apply.

Title: Postdoctoral fellowship on drone-assisted collection of environmental DNA for pest detection in agriculture

Location: The Environmental Robotics Lab

Position Type: 100%,Zurich, fixed-term

Deadline: Open Until Filled

Job description:

They recently published research in Science Robotics demonstrating that a drone can effectively collect eDNA from tree branches using commercially available adhesive materials like tape or humified gauze. They are now looking to expand their research into eDNA surveys in agricultural landscapes. The role involves designing an end-effector with eDNA collector materials, developing control strategies for physical interaction with vegetation, conducting field tests, and contributing to project reporting and dissemination. Candidates should have a Ph.D. in robotics, expertise in aerial robotics and physical interactions, experience in prototyping mechanical and electronic systems, a proven track record in real-life aerial robotic systems, and strong motivation for interdisciplinary collaboration with biologists and environmental scientists. Proficiency in written and spoken English is essential.

Requirements:

  • Hold a Ph.D. in robotics.
  • Extensive background in aerial robotics and/or aerial physical interactions.
  • Demonstrated experience in prototyping mechanical and electronic systems.
  • Proven track record in implementing real-world aerial robotic systems.
  • High motivation to collaborate in a multidisciplinary setting with biologists and environmental scientists.
  • Fluent communication skills in English, both written and spoken.

More Details and Apply.

Title: Post-Doctoral Researcher in Rehabilitation Sciences and Digital Health Technologies H1033

Location: The Singapore-ETH Centre (SEC)

Position Type: 100%,Zurich, fixed-term

Deadline: Open Until Filled

Job description:

In this role as Post-Doctoral Researchers, they will oversee clinical trials, manage resources, and support Module 3 coordination, collaborating with NTU, ARTICARES, and TTSH in Singapore.

Requirements: They must have:

  • A doctoral degree and expertise in rehabilitation sciences, digital health for sensorimotor impairments, biomedical data science, or related fields.
  • Strong clinical knowledge in post-stroke neurorehabilitation.
  • Advanced skills in machine learning, data analysis, and biomedical research.
  • Interdisciplinary proficiency in data collection and analysis.
  • Extensive experience in clinical trial coordination.
  • Effective management and communication skills in English.

Job Description: Their responsibilities include:

  1. Supervising a large-scale clinical study for upper limb sensorimotor recovery.
  2. Ensuring data integrity during data collection.
  3. Conducting advanced data analyses for stroke recovery insights.
  4. Managing clinical trials and research teams.
  5. Assisting with Module 3 administrative tasks.
  6. Leading research dissemination through conferences and journals.

More Details and Apply.

Title: Postdoctoral position in digital technologies for circular construction

Location: The Chair of Circular Engineering for Architecture (CEA) 

Position Type: 100%, Singapore, fixed-term

Deadline: Open Until Filled

Job description:

The Chair of Circular Engineering for Architecture (CEA) is dedicated to advancing circularity in architecture by connecting reused materials and projects through digitalization. They aim to streamline complex building design processes and promote material reuse in the construction industry. The role focuses on developing tools, engaging stakeholders, and validating solutions to enhance circular construction.

Requirements:

Candidates should possess:

  • A PhD in architecture, engineering, urban planning, computer science, or related fields.
  • Strong research skills in circular economy practices and material reuse.
  • Proficiency in data analysis and database management.
  • Knowledge of technologies like reality capture, GIS, machine learning, and life cycle assessments.
  • Strong organizational and communication skills in English.

More Details and Apply.

Title: Postdoctoral Researcher in the field of Pulsed Laser Deposition of Magnetic Systems

Location: The Laboratory for Mesoscopic Systems of ETH Zurich

Position Type: 100%, Zurich, fixed-term

Deadline: Open Until Filled

Job description:

They will assume the role of operating a basic pulsed laser deposition system and producing high-quality thin films, nanocomposites, and multilayers. Additionally, they will conduct research aligned with the Laboratory for Mesoscopic Systems’ focus areas, which encompass frustrated spin systems, ultrafast processes, hybrid systems, and spintronics. As a member of a collaborative team, they will be responsible for investigating the properties of systems using large-scale facilities such as synchrotron x-rays and neutrons. This position offers the opportunity to utilize cutting-edge nanofabrication techniques to create nanostructures and explore ultrafast processes using laboratory equipment and x-ray-free electron lasers. Furthermore, they will be accountable for making measurements and managing group instruments like the x-ray diffractometer, SQUID-VSM, and PPMS measurement systems.

Requirements:

  • A Ph.D. in materials science, physics, or a related field, accompanied by a distinguished track record in research.
  • Profound expertise in the production of magnetic thin films through pulsed laser deposition and relevant characterization instruments.
  • Familiarity with lithography and experience in conducting measurements at large-scale facilities is advantageous.
  • Demonstrated motivation, proactivity, and creativity, with strong teamwork and communication capabilities.

More Details and Apply.

Open Academic Positions at various Universities in Switzerland

Would you like to know the salary amount of PhD and postdoc positions in Europe? 

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