Post Doc in Multi-Fidelity Models for Vascular Problems

Royal Institute of Technology School of Engineering Sciences

Postdoc in Multi-Fidelity Models for Vascular Problems

School of Engineering Sciences at KTH

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Job description

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.

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Works in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH
  • Existing simulation codes for vascular turbulent flows, and methods for UQ and reduced-order models.
  • Access to HPC computing and data resources within Sweden and Europe.
  • Multidisiplinary research group, including experts from simulation, UQ, fluid dynamics and vascular flows and tissues.

Read more about what it is like to work at KTH

Qualifications

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.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

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:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.

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).

About the employment

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.

Others

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.

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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 longer than 6 months
Contract type Full time
First day of employment According to agreement
Salary Monthly salary
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number S-2021-0338
Contact
Saleh Rezaeiravesh, salehr@kth.se
Philipp Schlatter, pschlatt@mech.kth.se
Lisa Prahl Wittberg, prahl@mech.kth.se
Christian Gasser, gasser@kth.se
Published 11.Mar.2021
Last application date 15.Apr.2021 11:59 PM CET