What is battery team
- We do bleeding edge, multidisciplinary and convergent research on materials, systems, and algorithms.
- We work on a mixture of purely academic and purely industrial research projects.
- We are a diverse team of students coming from different international backgrounds.
Why you should join us
- Battery management/diagnosis has been the fastest-growing market of the year 2020.
- Many countries like the USA, European Union, and the Korean government have been investing in solving problems related to the battery.
- We believe that you will have great opportunities ahead of you upon completing your research in our lab.
Who do we want
We currently have two vacancies for Master/Ph.D. students or research engineers. It will help if you are comfortable with either one of the following skillsets.
- Experience in firmware development (interfacing MCU/FPGA and sensors), PCB design, and general embedded algorithm development.
- Experience in machine learning applied to classification and pattern recognition. Beware, you will not be applying a simple classification library on an image dataset. General hardware knowledge of machine learning servers and accelerators is also required.
If you are interested, please send your application, including your resume, to Professor Sang-Gug Lee (sgjlee@kaist.ac.kr).
