This advert is not available!
As part of a cross-department initiative, the department of Engineering Mechanics announces a postdoc position within the thematic area Biomechanics, Health and Biotechnology, on the topic of non-intrusive assessment techniques for respiratory and voice disorders.
We are looking for a postdoctoral researcher in the field of turbulent flow and fluid-structure interaction modeling in both engineering and biological contexts, with a multi-physical and multi-scale view. The group has personnel with a wide range of backgrounds and expertise, including turbulence modeling, biofluid dynamics, aeroacoustics, and applied mathematics.
The purpose of this project is to create a hybrid data- and model-driven method for the non-intrusive assessment of obstructive airway disorders and voice. Due to the multifactorial complexity of airway conditions and voice disorders, there is a limited knowledge on relevant physics associated with the relationships between the intermittent fluid flow, the upper respiratory tract, and the generated sound. This research project involves high-fidelity simulations in both idealized configurations (e.g., Starling Resistor) and subject-specific geometries; and deep-learning algorithms for error assessment and generating a model with improved prediction accuracy.
The project will enable more robust, patient-specific, non-intrusive assessment methods, by training neural networks with imaging data (e.g., MRI) and accurate fluid flow and wall dynamics data pertinent to the fluid flow interacting with the upper airway structure, and by combining such networks with recorded sound pressure data. With this type of modeling, doctors will be able to simulate and analyze treatment options a-priori. This methodology can be applied in areas such as diagnostics and treatment of respiratory disorders, as well as speech and voice disorders.
This position is one of eight postdoc positions in the thematic areas: Biomechanics, Health and Biotechnology, Advanced Material and Structures, Energy, Transport and Future Mobility, Advanced Computing and Machine Learning.
Read more about what it is like to work at KTH
Requirements
We are looking for a candidate with a doctoral education in Engineering Physics, Mechanics, Mechanical Engineering, or equivalent, with a specialization in computational methods and/or applied mathematics.
Preferred qualifications
Great emphasis will be placed on personal competency
You will find contact information to trade union representatives at KTH's webbpage.
Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.
The application must include:
Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
The position offered is for, at the most, two years.
A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.
Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.
For information about processing of personal data in the recruitment process please read here.
We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.
Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment | Temporary position |
---|---|
Contract type | Full time |
First day of employment | According to agreement |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | S-2021-0390 |
Contact |
|
Published | 17.Mar.2021 |
Last application date | 06.May.2021 |