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

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is a full-time, two-year temporary employment funded by the COMPEL initiative, with a fixed salary. The project is part of a strategic Swedish government initiative for battery research and electrification. No specific stipend amount or tuition coverage is mentioned.

Deadline

Feb 2, 2026

Country

Sweden

University

Uppsala University

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Where to contact

Position Link Position Link 1 Position Link 2

Keywords

Computer Science

Signal Processing

Electrical Engineering

Mathematics

Electrochemistry

Probabilistic Modeling

Dynamical Systems

Automatic Control

Optimisation

Applied Mathematic

Machine learning

About this position

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.

Funding details

What's required

Applicants must hold a PhD degree in machine learning, automatic control, system identification, signal processing, applied mathematics, battery systems, or a closely related field, or a foreign equivalent, obtained by the time of employment decision. The degree should have been completed no more than three years before the application deadline, with possible extensions for special circumstances. Candidates should have a strong technical background and experience in one or more of the following: machine learning, automatic control, system identification, optimization, signal processing, filtering and smoothing, probabilistic modelling, dynamical systems, or electrochemistry. A record of publications in leading journals or conferences is required. Proficiency in programming and excellent oral and written English are mandatory. Teaching in English is expected. Creativity, thoroughness, initiative, collaboration skills, and the ability to analyze complex problems are valued.

How to apply

Submit your application through Uppsala University's recruitment system. Include a CV, grade documents, publication list, up to five selected publications, a research statement, and contact information for two references. State the earliest possible starting date. Apply by February 2, 2026.