Postdoctoral Researcher in Deep-Learning: Join the KTH Royal Institute of Technology as a Postdoctoral Researcher, contributing to the advancements in aerodynamic simulation models crucial for the climate-neutral transformation of aviation as outlined in “Flightpath 2050.” Work collaboratively in the EU research project ROSAS, focusing on developing wall models for turbulent-flow simulations using advanced deep-learning techniques.
Postdoctoral Researcher in Deep-Learning Methods for Wall Models
Designation:
Postdoctoral Fellow
Table:
| Category | Details |
|---|---|
| Location | Stockholm, Sweden |
| Type of Employment | Temporary position |
| Contract Type | Full-time |
| Full-time Equivalent | 100% |
| Number of Positions | 1 |
| Salary | Monthly salary (details to be determined) |
| Reference Number | S-2024-2155 |
| Published Date | 12th December 2024 |
| Last Application Date | 7th February 2025 |
Research Area:
- Turbulent Flow Simulations
- Deep Learning Methods
- Aerodynamics in Aviation
Location:
KTH Royal Institute of Technology, Stockholm, Sweden
Eligibility/Qualification:
Required:
- A doctoral degree or equivalent foreign degree (to be completed by the time of employment decision)
- Proficiency in English
- Relevant published work in fluid mechanics
Preferred:
- Doctoral degree in Mechanical/Aerospace Engineering or Computer Science (specializing in data-driven/computational methods)
- Relevant degree project
- International experience
- Independent work ability, critical analysis, and excellent cooperative and communicative skills
- Research expertise and teaching abilities
- Awareness of diversity and equal opportunity issues, specifically gender equality
Job Description:
As a Postdoctoral Researcher, you will:
- Contribute to the EU project ROSAS, focusing on developing wall models for turbulent flow simulations using deep reinforcement learning.
- Collaborate with the VinuesaLab research group and participate in related projects concerning large-scale turbulence simulations and experimental work.
- Access multipetaflops scale supercomputing facilities at KTH in collaboration with the Swedish e-Science Research Centre (SeRC).
- Engage in a dynamic research environment at KTH, contributing to a sustainable future through innovative solutions.
How to Apply:
- Log into KTH’s recruitment system to submit your application.
- Ensure your application includes:
- Statement of professional interest
- CV with a list of publications
- Transcripts from university/university college
- Contact information for at least two references
- PhD thesis and two selected scientific papers (in PDF format)
Last Date to Apply:
All applications must be received no later than 7th February 2025, midnight CET/CEST.
For more information, contact:
Ricardo Vinuesa, Lektor
Email: rvinuesa@mech.kth.se
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