Postdoc: ML-Driven Estimation & Control for Solid-State Batteries

KTH Royal Institute of Technology; Stockholms kommun; On-site; SEK 420,000 - 540,000; Full time

Job summary

KTH Royal Institute of Technology in Stockholm invites applications for a two-year postdoctoral position in solid-state batteries within the COMPEL initiative. The project focuses on ML-based electro-chemo-mechanical estimation and control of solid-state batteries using reduced-order models and data-driven methods.

The position is hosted by the Department of Decision and Control Systems and offers the opportunity to work at the forefront of battery research, with emphasis on modeling,

Qualifications

• A doctoral degree or an equivalent foreign degree in Control Engineering, Electrical Engineering, Applied Mathematics, Engineering Physics, or a related field.
• Proficiency in written and spoken English,as this will be required in day-to-day work.
• Strong theoretical background in systems modelling, estimation, optimization or machine learning.
• Awareness of diversity and equal treatment issues with a particular focus on gender equality.

Responsibilities

• Develop reduced-order electro-chemo-mechanical models and state estimation methods.
• Apply ML-based estimation and control to solid-state battery systems.
• Integrate physics-based modeling with data from parallel projects.
• Publish results and contribute to battery research within the COMPEL initiative.

Skills

Machine Learning

Systems Modelling

Estimation

Optimization

English Proficiency

Education

Doctoral degree or equivalent (last 3 years)

Job description

KTH Royal Institute of Technology in Stockholm invites applications for a two-year postdoctoral position in solid-state batteries within the COMPEL initiative. The project focuses on ML-based electro-chemo-mechanical estimation and control of solid-state batteries using reduced-order models and data-driven methods.

The position is hosted by the Department of Decision and Control Systems and offers the opportunity to work at the forefront of battery research, with emphasis on modeling,