Postdoctoral Position in Machine Learning for Battery Timeseries Data at Uppsala University Uppsala University in Sweden

Uppsala University is offering a postdoctoral position in machine learning for battery timeseries data at the Department of Information Technology. The research is part of the COMPEL initiative, a strategic Swedish government program focused on advancing battery development and the electrification of the transport sector. The project aims to develop unsupervised machine learning methods for extracting dynamical models of battery degradation from multimodal timeseries data, emphasizing interpretability and mechanistic insight. The data includes high-frequency acoustic emission and electrochemical measurements from operating batteries, targeting complex processes such as particle fracture and gas evolution.

The research will involve self-supervised temporal representation learning, switching state-space models, and neural ODE-based latent dynamics to analyze large volumes of unlabeled data. The goal is to create an integrated framework for interpretable battery health diagnostics and prognostics, advancing the understanding of battery aging and enabling real-time monitoring. The project is highly interdisciplinary, integrating expertise from machine learning, control theory, optimization, and network science, and is supervised by Assistant Professors Jens Sjölund (machine learning) and Leiting Zhang (battery sensing).

Applicants must have a PhD in machine learning, automatic control, system identification, signal processing, applied mathematics, battery systems, or a related field, with strong technical skills and a record of publications in top venues. Proficiency in programming and excellent English are required. The position is full-time for two years, with a fixed salary, and may include up to 20% teaching. The application deadline is February 2, 2026, and the expected start date is March 1, 2026. For more information, contact the supervisors at [email protected] and [email protected].

To apply, submit your application through Uppsala University's recruitment system, including a CV, grade documents, publication list, selected publications, research statement, and references. Uppsala University offers a collaborative and international research environment, with strong support for interdisciplinary work and career development.