Postdoc: Physics-Informed ML for Battery Systems

Karlstad University; Göteborgs kommun; On-site; SEK 531,149 - 663,937; Full time

Benefits offered by this job

Dynamic working environment

Employee benefits

Job summary

Karlstad University is looking for a postdoc to advance learning and modeling methods in battery systems. This role focuses on developing physics-informed and data-driven approaches to model complex dynamical behavior.

The position offers a dynamic working environment in Gothenburg, with opportunities for research, supervision, and teaching. A doctoral degree in relevant fields, along with strong programming and communication skills, are required for this role.

Qualifications

• Strong written and verbal communication skills in English.
• Strong background in dynamical systems and uncertainty quantification.

Responsibilities

• Pursue research aligned with the project and publish scientific articles.
• Possibility to supervise master’s and co-supervise PhD students.
• Engage in teaching at undergraduate/master’s level.

Skills

System identification

Machine learning

Programming skills (Python/MATLAB)

Scientific machine learning

Optimisation

Education

Doctoral degree in relevant field

Tools

Python

MATLAB

Job description

Karlstad University is looking for a postdoc to advance learning and modeling methods in battery systems. This role focuses on developing physics-informed and data-driven approaches to model complex dynamical behavior.

The position offers a dynamic working environment in Gothenburg, with opportunities for research, supervision, and teaching. A doctoral degree in relevant fields, along with strong programming and communication skills, are required for this role.