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Postdoc position in Mechanical Engineering, Atmospheric Sciences, Physics – Denmark, 2022

Aarhus University (AU), Denmark

The Department of Mechanical and Production Engineering, Aarhus University, invites applications for a 2-year postdoc position offering applicants an exciting opportunity to join the “Flow Physics and Turbulence” research group to pursue research on efficient machine learning techniques for turbulence modeling

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General Info

Position: Postdoc position
No. of Positions: 1
Research Field: , ,
Joining Date: May 01, 2022
Contract Period: 2 Years
Salary: According to Standard Norms

Workplace:
Department of Mechanical and Production Engineering
Aarhus University
Aarhus University (AU)
Aarhus C, Denmark

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Qualification Details

The successful candidate should hold a PhD degree with a background in either Mechanical Engineering, Atmospheric Sciences, Physics, or related disciplines. It is expected that the candidates have expertise and research experience in the following areas: computational fluid dynamics; machine learning, turbulence modeling; data-driven techniques, reduced-order modeling, dynamical system analysis, and parallel computing. The candidate should also be able to collaborate in an interdisciplinary team. Excellent communication skills in English, in both speech and writing, are a requirement.

Responsibilities/Job Description

Research in this project involves a synergistic combination of numerical modeling and theoretical development of physics-based and physics-constrained ML models in scale-resolving simulations of turbulent flows. You are expected to contribute to research and development in machine learning methodologies for fine-scale modeling (i.e., both wall and SGS models) in LES as well as data-driven reduced-order modeling of wall-bounded turbulence. This includes proposal of new methodologies, implementation and validation of the methods using the simulation and experimental data, reporting of the results, and dissemination in international conferences and journals.

How to Apply?

Online Application through "Apply Now" Button from this page


Reference Number: -
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Documents Required

The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here.

About the Project

The project is fully funded by the Independent Research Fund Denmark (DFF: Sapere Aude Research Leader Grant). The main objective of this project is to enable high-fidelity CFD tools for fast-paced engineering design and decision-making. In pursuit of this objective, this project aims to develop physics-constrained data-based turbulence models for scale-resolving simulations of wall-bounded turbulent flows through machine learning (ML). Data from direct numerical simulation (DNS) will be used for the development and validation of fine-scale models (i.e., wall and  SGS models) in large-eddy simulation (LES). From an application standpoint, we will use the developed models for real-world flows such as scale-resolving simulations of turbulent flows in complex terrain and built environments. Throughout this project, we will closely collaborate with researchers at Penn State, Stanford University (CTR), and DTU.

You will be a member of the “Flow Physics and Turbulence” group at the Department of Mechanical and Production Engineering (MPE). The research group is specialized in modeling and simulation of turbulent flows, wind engineering and renewable energy, data-driven techniques, and reduced-order modeling of turbulence. For more information about the group’s work, see: Flow Physics and Turbulence (au.dk)

About the Employer: Aarhus University (AU)

Note or Other details

What we offer

As a postdoctoral researcher, you will be a valuable member of the group and the MPE department at Aarhus University. The department offers:

- An interdisciplinary environment with many national, international, and industrial collaborators.

- The opportunity to co-supervise PhD and MSc students working in related topics.

- A workplace characterised by professionalism, equality and a healthy work-life balance.

- Good salary based on the candidate experience.

Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities.

Salary depends on seniority as agreed between the Danish Ministry of Finance and the Confederation of Professional Associations.


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Contact details

For further information please contact:

Associate Professor Mahdi Abkar
Email: abkar@mpe.au.dk Tel. number:  +45 93 52 16 94

Advertisement Details: Postdoc position in Physics-constrained machine learning for scale-resolving simulations of turbulent flows

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