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As part a cross-department initiative, the department of Engineering Mechanics announces a postdoc position within the thematic area “Advanced computing and machine learning” on the topic of multi-fidelity models for vascular problems. The postdoc will be working on developing advanced methods for multifidelity simulations within the application area of vascular biomechanics. This includes the theoretical development, implementation into open-source codes, and coupling to existing vascular simulation methods. The goal is to combine experimental observations and high-fidelity simulations with low-fidelity (low-order) models to make accurate predictions for the biomechanical quantities of interest. The multifidelity models can also be very useful for uncertainty quantification (UQ) and optimisation.
We thus want to combine novel UQ techniques for multi-fidelity models with state-of-the-art simulation techniques (reduced-order models, RANS, LES) of clinical realistic hemodynamic problems. The proposed inclusion of the simultaneous prediction of uncertainty of the fused results is a completely novel approach in the field. The multidisciplinary nature of the project allows for publications with different scope ranging from fundamental method and software development, to clinical biomechanical applications. Given the importance of cardiovascular diseases, the potential outcomes are also of high socioeconomic relevance.
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, and
Advanced Computing and Machine Learning.
Read more about what it is like to work at KTH
Requirements
A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).
A background in engineering, mathematics, scientific computing or other relevant fields is necessary. In addition, good programming and modern software engineering knowledge is required.
The applicant should have proven scientific competence via previous journal publications, and pedagogical expertise. The candidate also needs to show awareness of diversity and equal opportunity issues, with specific focus on gender equality.
Preferred qualifications
Applicants must be strongly motivated for research, have the ability to work both independently and in a team-based environment. Applicants should also have a good level of cooperative and communicative abilities, written and oral proficiency in English. Great emphasis will be placed on personal competency. Previous background in at least one of the following fields is an asset: UQ, vascular dynamics, HPC, and machine learning.
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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.
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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 |
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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-2021-0338 |
Contact |
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Published | 11.Mar.2021 |
Last application date | 15.Apr.2021 11:59 PM CEST |