Up to 30% off — ends 2 Aug
ONLY00h00m00s
Up to 30% off — ends 2 Aug
ONLY00h00m00s
KTH Royal Institute of Technology
Top university
6 days ago
Postdoc in solid-state batteries – ML-Based Battery Estimation & Control KTH Royal Institute of Technology in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 15, 2026
Country
Sweden
University
KTH Royal Institute of Technology

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
More information can be found here
Official Email
Keywords
Suggested positions
About this position
KTH Royal Institute of Technology is offering a 2-year postdoctoral position in Machine Learning-based Electro-Chemo-Mechanical Estimation and Control of Solid-State Batteries, hosted by the Department of Decision and Control Systems within EECS. The project is part of the Swedish governmental battery initiative COMPEL, which supports excellence in battery research and education for the transport sector, and sits within a broader coordinated effort on composite solid-state batteries involving seven postdoctoral positions across the battery value chain.
The research focuses on developing reduced-order electro-chemo-mechanical models, state estimation methods, and predictive control strategies for solid-state batteries. A key goal is to understand how charging protocols, temperature, and mechanical loading affect battery performance, degradation, and lifetime. The work combines physics-based modelling with machine learning to support parameter estimation, degradation prediction, and analysis of electrochemical and structural characterization data. The project also includes X-ray CT image reconstruction, segmentation, and quantitative microstructure analysis, with a long-term aim of enabling health-aware battery management and optimized charging strategies.
This opportunity is well suited to candidates with a background in control engineering, electrical engineering, applied mathematics, engineering physics, or a related field, and to those interested in batteries, estimation, optimization, and machine learning. Strong English skills are required. The ad also highlights experience with solid-state batteries or electrochemical system modelling/control as a merit, along with independence, innovation, teamwork, and collaborative skills.
The appointment is a temporary full-time postdoctoral position for up to two years, with a planned start date of 2026-10-01 or as agreed. The position is based in Stockholm, Sweden. Applications must be submitted through KTH's recruitment system, and the deadline is 2026-08-15 at 23:59 CET/CEST.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.