Postdoctoral Researcher in Tabular Foundation Models for Building and District Energy Systems

Postdoctoral Researcher in Tabular Foundation Models for Building and District Energy Systems Postdoctoral Researcher in Tabular Foundation Models for Building and District Energy Systems ============================================================================================= Postdoctoral Researcher in Tabular Foundation Models for Building and District Energy Systems ============================================================================================= 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. Our passion lies in materials science and technology, and at the \[Urban Energy Systems Laboratory\](\<\>) (UESL), we develop strategies and methods to support the creation of decarbonized, resilient, and equitable energy systems. This PostDoc position is offered in collaboration with the \[Intelligent Maintenance and Operations Systems (IMOS) Laboratory\](/) at EPFL (\[Prof. Olga Fink\](\<\>)). IMOS develops advanced machine\\-learning and AI methods for complex engineering and industrial systems, with a particular focus on improving their reliability, availability, and operational performance while enabling more efficient and cost\\-effective maintenance. To advance the development of tabular foundation models for energy systems, we are seeking a highly motivated and skilled postdoctoral researcher. The project aims to develop foundation models that can learn from heterogeneous tabular data across buildings and district\\-scale energy systems and transfer across systems, operating conditions, and downstream tasks. The position combines Empa UESL's expertise in developing and accessing energy system models with the methodological expertise of the IMOS Laboratory in machine learning and foundation models. ### Your tasks \* Evaluate and benchmark e