Doctoral student in probabilistic machine learning for fluid mechanics KTH Royal Institute of Technology in Sweden

Doctoral student in Numerical simulations of turbulent heat transfer over rough surfaces at Lund University , Faculty of Engineering (LTH), Department of Energy Sciences, Sweden. This PhD project sits in the Division of Heat Transfer and focuses on the interaction between surface roughness, turbulence, and heat transfer . The work combines fundamental fluid mechanics with engineering applications, and is carried out in close collaboration with industrial and research partners including Siemens E...

Georgia Tech is hiring multiple postdoctoral fellows in the Flow Physics and Computational Science (FPCS) Lab and the Center for Multiphase flow Research (CMR). The research themes include fluid dynamics, multiphase flows, turbulence, reacting flows, machine learning for fluid dynamics, computational science, and high-performance computing. This is a strong fit for researchers with interests in advanced flow physics, numerical modeling, scientific computing, and interdisciplinary collaboration. ...

PhD opportunity in the HyNOISE Doctoral Network: DC12, focused on building a systematic data assimilation model to predict thermoacoustic instabilities in hydrogen-fuelled combustion systems. The project is hosted by the University of Cambridge Engineering Department within a collaborative European network involving academic and industrial partners. The research aims to optimize the design of hydrogen-fuelled gas turbine injectors so that combustors are quieter and less susceptible to thermoacou...

RIKEN is recruiting a few Research Scientists or Postdoctoral Researchers in the Learning Optimization Platform Development Unit within the AI for Science Platform Division at the RIKEN Center for Computational Science in Tokyo, Japan. The position focuses on AI for Science , computational science , high performance computing , and intelligent informatics . Research topics include applying and developing AI optimization methods for scientific applications such as imaging (CT, MRI), life science,...

Beihang University’s Computational Physics & Data Science Research Group at the Hangzhou International Innovation Institute is inviting applications for postdoctoral positions in Deep Learning, Data Assimilation, and Turbulence . The role is a full-time two-year postdoc with 2 positions available. The salary is 300,000–360,000 RMB per year , depending on the candidate’s expertise. There are no teaching duties . Applicants should have defended their PhD less than 3 years before the job offer date...