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Job Record #15626
TitleEfficient algorithms for unstable periodic orbits in turbulence
CategoryPhD Studentship
EmployerKU Leuven
LocationBelgium, Leuven
InternationalYes, international applications are welcome
Closure DateWednesday, May 01, 2019
Description:
PhD Position on efficient algorithms for finding unstable periodic orbits in turbulent flows

Promoter: J. Meyers
Contact: Prof. J. Meyers, Department of Mechanical Engineering, Celestijnenlaan 300A, B3001 Leuven, Belgium. T: +32(0)16 322502. Google Scholar
Apply using the KU Leuven online application platform. (Applications by email are not considered!)

This PhD position is based in the Turbulent Flow Simulation and Optimization (TFSO) research group headed by Prof. Dr. Johan Meyers, which is part of the department of Mechanical Engineering. The position is embedded in a large interdepartmental project on “Efficient methods for large-scale PDE-constrained optimization in the presence of uncertainty and complex technological constraints”, which is funded by the special research fund of KU Leuven. The project is a collaboration between the research group of Prof. Meyers and the Numerical Analysis and Applied Mathematics Section (NUMA) of Prof. Vandewalle at the department of Computer Science. The PhD research is one of 10 research positions in this project, and focusses on developing new fast numerical methods for finding unstable periodic orbits in turbulent flows.

BACKGROUND

In recent years there has been a lot of interest in unstable periodic orbits in turbulent flows (see, e.g., Kawahara et al. 2012, Annu. Rev. Fluid Mech. 44, 203–225). These solutions are unstable, and thus do not occur of themselves in turbulence, but they are considered important building blocks to understand the dynamics of turbulence, and possibly find routes for control of turbulence. Moreover, unstable periodic orbits are much studied in chaotic systems in general (of which turbulent flows are an example), and may be used to determine ergodic averages of chaotic attractors, amongst others. Also, the sensitivity of such orbits in chaotic flows is well defined, in contrast to the sensitivity of chaotic trajectories themselves, making them potentially useful for the calculation of gradients of ergodic observables, such as, e.g., necessary in the context of gradient-based optimization. The numerical determination of unstable periodic orbits in turbulent flows is however very challenging. Current algorithms do not scale well with the number of degrees of freedom, so that results are limited to relatively simple flows at low Reynolds numbers and for low orbit periods.

PHD PROJECT DESCRIPTION

Research: the research focuses on the formulation of efficient and fast methods for the determination of unstable periodic orbits of Navier–Stokes equations in the turbulent regime. To this end, multiple shooting approaches and direct methods in time are considered, as well as different types of multigrid approaches. Algorithms are developed and tested on a number of simpler chaotic partial differential equations, such as the Kuramoto–Sivashinsky equations, before they are applied to the full Navier–Stokes equations. The research is well embedded within the research groups of J. Meyers (with large expertise on turbulent flow simulation and optimization) and S. Vandewalle (with large expertise in multigrid methods, multigrid in time).

Timeline and remuneration: Ideal start time is in spring or summer 2019. The PhD position lasts for the duration of four years, and is carried out at the University of Leuven. During this time, the candidate also takes up a limited amount (approx. 10% of the time) of teaching activities. The remuneration is generous and is in line with the standard KU Leuven rates. It consists of a net monthly salary of about 2000 Euro.

CANDIDATE PROFILES

Candidates have a master degree in one of the following or related fields: fluid mechanics, aerospace or mathematical engineering, numerical mathematics, or computational physics. They should have a good background or interest in fluid mechanics, optimization, simulation, and programming (Fortran, C/C++, Matlab, python, …). Proficiency in English is a requirement. The position adheres to the European policy of balanced ethnicity, age and gender. Both men and women are encouraged to apply.

APPLICATION

To apply, use the KU Leuven online application platform (applications by email are not considered) Please include:
a) an academic CV and a PDF of your diplomas and transcript of course work and grades
b) a statement of research interests and career goals, indicating why you are interested in this position
c) a sample of technical writing, e.g. a paper with you as main author, or your bachelor or master thesis
d) two recommendation letters
d) a list of at least two additional references (different from recommendation letters): names, phone numbers, and email addresses
e) some proof of proficiency in English (e.g. language test results from TOEFL, IELTS, CAE, or CPE)

Please send your application as soon as possible.
Decision: when a suitable candidate applies.
Starting date: candidates can start immediately. Start preferable before (or on) October 1st, 2019.

Contact Information:
Please mention the CFD Jobs Database, record #15626 when responding to this ad.
NameJohan Meyers
Emailjohan.meyers@kuleuven.be
Email ApplicationNo
Record Data:
Last Modified17:53:35, Tuesday, February 26, 2019

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