Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain.

The Laboratory of Multiscale Studies in Building Physics focuses on developing technologies that support energy transition and a sustainable society by improving the performance of porous media and building materials, increasing the use of renewable energy sources, and ameliorating the quality of the built environment both for human comfort and public health. The laboratory has excellent experimental infrastructures (including cutting-edge experimental fluid dynamics facilities, environmental chambers, and various equipment to investigate processes in porous materials) and an extensive experience in investigating coupled multi-physics phenomena and complex multiscale processes, as well as in developing and using cutting-edge scientific computing techniques (including HPC, artificial intelligence, multiscale algorithms).

Your tasks

The postdoctoral researcher will work on the development of novel machine-learning methods to analyze experimental data obtained from large- and small-scale laboratory measurements. The initial focus will be on convolutional neural networks, autoencoders for model reduction, and automation for application to classic velocimetry techniques (PTV and PIV, i.e., particle-tracking and particle-imaging velocimetry, respectively), as well as background oriented Schlieren measurements. The postdoctoral researcher is also expected to participate and support other activities of the laboratory that are related to machine learning and artificial intelligence.

Your profile

The applicants must hold a recent PhD degree, preferably in physics, data-science, computer science, mechanical engineering, or closely related fields. The ideal candidate has proven experience in working with real data and has documented track record of research in the field of machine learning and artificial intelligence. She/he is hands-on, skilled in programming (e.g., in Python), and with a deep knowledge of ML libraries. A deep knowledge of fluid dynamics, experience with velocimetry measurements and optical methods are an asset.

Our offer

We offer internationally competitive conditions, optimal computational and experimental facilities, and the opportunity to work in a multidisciplinary environment where communication and interaction to create synergies and develop novel ideas are highly valued. The position is offered for two years and is available from September 2023, or at a later date upon mutual agreement.

«a» stands for «all» in our job advertisements. We live a culture of inclusion and respect. We welcome all people who are interested in innovative, sustainable and meaningful activities. That's what counts - not age, gender, origin, religion, sexual orientation, etc.

We are looking forward to receiving your application comprising a letter of motivation, a brief statement of your research interest and ideas for the offered position (please provide it in the same PDF as the motivation letter), your curriculum vitae, a complete list of publications, and two or more references with contact details.