Do you hold a Ph.D. in Numerical Design Optimization, such as Topology and Shape Optimization? Do you have a solid background in Computational Fluid Dynamics (CFD) and are you experienced with parallel programming using MPI and Fortran/C? Or are you a Computer Scientist with a flair for Physical Modeling?
Do you want to become an expert within the field of ultra-large scale modelling and topology optimization for high Reynolds number thermo-fluidic systems? Then we have the project for you!
At DTU Construct we offer you the chance to break new ground at the absolute forefront of what is possible for ultra large scale CFD and topology optimization. The project is part of the EU-Horizon2020 JU “Centre of Excellence for Exascale CFD” consortium and your research will be conducted in close collaboration with top universities and researchers situated in Sweden, Spain, Greece and Germany. At DTU Construct you will be part of the DTU TopOpt group which is world-leading within development and applications of topology optimization methods. The project is therefore the perfect steppingstone for you to establish your career as a scientist in an international setting.
The period of employment is 2 years starting in the fall of 2023.
Responsibilities and qualifications
Your overall focus will be the development of new methodologies, algorithms and software that will make exa-scale topology optimization of turbulent flow problems a reality. Although the project is focused on method development, the research output will be tested on a light-house design case involving the design of microfluidic passive mixers utilizing turbulence phenomena. Your primary tasks will be:
- Development of multi-level optimization algorithms for use on new exa-scale ready clusters such as the LUMI HPC facility in Finland.
- Development of adjoint solvers for a time dependent fluid solver in a massively parallel setting.
- Research into the origin of instabilities for adjoints in turbulent flows and development of methods capable of resolving the issue.
- Work with state-of-the-art CFD codes, such as Neko (Nek5000) from KTH in Sweden.
- Teach and supervise BSc and MSc student projects, and be co-supervisor for PhD students
The candidate should hold a PhD or equivalent in Mechanical Engineering or a related field.
The project involves extensive development and implementation of numerical methods for simulation and optimization of partial differential equation (PDE) constrained optimization problems. Thus, only candidates with documented experience in at least one and preferably multiple of the following areas will be considered: computational fluid dynamics (CFD), computational mechanics; high performance computing, parallel programming, finite element methods; numerical optimization techniques; shape and /or topology optimization methods.
- You have an open mind and can think creatively in a mathematical, mechanical and programming context
- You are eager to elaborate and collaborate on the newest research results, improve the ideas, and test them by implementation.
- You preferably have experience within shape or topology optimization of fluid flows and are committed to improve the state-of-the-art
- You are able to work independently and to reach out for establishing and maintaining a close collaboration with the project partners.
To apply, please read the full job advertisement, by clicking the ‘Apply’ button.