The research institute for materials science and technology (EMPA) of ETH Zurich university, Switzerland invites online Application for number of Fully Funded PhD Degree positions focusing on Mechanical, Structural/Civil, Biomedical, Physics or Materials Engineering & nanotechnology. Below a list of each position with a brief description and link for further info about application process and requirements.
1.PhD student for the further development and validation of a novel sensor selection methodology for autonomous driving applications
Description:
To strengthen the activities in the research topic "Vehicle Systems" we are looking for a PhD student whose tasks will be:
Development of a hybrid modelling approach combining sensors on the infrastructure and vehicles
Design and setup of dynamic objects for the AD test track
Validation of the sensor selection methodology through real-world scenario-based investigations
Publication of results in scientific journals and presentation at national/international conferences
Supervision of students
Application Deadline: Open until filled
2.PhD position on guiding and confining wave energy in 3D chiral mechanical metamaterials within the MetacMed Project
Description:
The successful applicant will be enrolled on a PhD programme at ETH Zürich, and will work on the topic of “Guiding and confining wave energy in 3D chiral metamaterials” under the supervision of Dr. Andrea Bergamini, Empa, Laboratory for Acoustics/Noise Control and under the academic supervision of Prof. Dr. Dennis Kochmann, ETH-Department of Mechanical and Process Engineering. Secondments at Amazemet, Warsaw (PL), 4 months, and CNRS Lille (FR), 4 months, are foreseen for this position.
Your tasks:
As doctoral candidate within this project you will work on practical implementations of mechanical metamaterials for wave manipulation. Standard metamaterial modelling considers an infinite, defect-free periodic structure, consisting of a single unit cell. In this work we will explore the effect of domain interfaces and defects in such a setting. Practical applications require addressing 2 additional questions: (i) how do edges of finite samples affect the efficiency and (ii) can transmission reduction be achieved by aperiodic structures.
Application Deadline: Open until filled
Description:
The project will be part of a larger initiative focused on the design of a precision, self-care integrated system to completely understand, simulate, and monitor skin wound evolution, with the ultimate aim to treat and prevent chronic wounds.
The candidate will focus on the characterization of chronic wounds arising from venous ulcers and perform comprehensive proteomic and metabolomic characterization of wound exudates from patients. Furthermore, the candidate will demonstrate Raman spectroscopy as a rapid, noninvasive, and label-free omics technology enabling metabolic profiling and biomarker detection in wound exudates.
Your tasks:
Large-scale data analysis, programming and statistical evaluation
Implementation of established and development of new workflows for biomarker identification from omics datasets (proteomics, metabolomics, Raman)
Combining Raman spectroscopy and mass spectrometry-based proteomics, along with cutting-edge machine learning approaches, to enable timely identification of high risk for the chronic wound formation
Coordinate preparation of wound fluids and perform Raman spectroscopy measurements
Coordination of activities with project partners, including clinicians
Preparation of results for publishing and presentation at conferences
Application Deadline: Open until filled
Description:
The aim of the PhD project is to elaborate methodologies for thermal conductivity measurements of submicron- and nano-scaled metallic composites, and to apply these methodologies in the development of new-generation materials for thermal management, for example in power electronics. State-of-the-art methods for the determination of thermal conductivity will be compared, and their suitability for the determination of thermal conductivity of newly-developed fine-structured Cu-Mo composites will be evaluated. The methods involve the Laser Flash Analysis technique (LFA), Hot Disk Transient Plane Source (TPS) and opto-thermal methods. Based on the evaluation results, appropriate measurement and data analysis procedures will be elaborated and implemented to support the development of Cu-Mo composites for thermal management. Special attention will be paid to scale- and interface effects on the thermal conductivity in these composite materials.
Application Deadline: Open until filled
The nanotech@surfaces Laboratory is looking for a highly motivated candidate with a strong experimental background in Solid State Physics, Surface Science or Quantum Nanoscience who wants to pursue cutting-edge research at a world-class level.
Your tasks:
In this project, you will synthesize and characterize strongly correlated quantum many-body spin systems using methods based on scanning probe microscopy (SPM). You will study local excitations at the single spin site level in bottom-up fabricated nanographene chains using a low-temperature scanning tunneling microscope. In combination with multiconfigurational simulations, such experiments will determine the energetics and dynamics of electronic and spin excitations in these strongly correlated quantum many-body systems. Obtaining precise and flexible control over spin sites and interactions will open ways toward the operation of carbon-based quantum spin devices.
Application Deadline: Open until filled
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