Battery Materials Scientist: Electrodes, Electrolytes & Scale-Up

Hong Kong Quantum AI Lab Ltd

Hong Kong

On-site

HKD 420,000 - 700,000

Full time

7 days ago
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Benefits offered by this job

Multidisciplinary environment
Compensation commensurate with能力 and经验

Job summary

Hong Kong Quantum AI Lab, an R&D centre jointly established by The University of Hong Kong and the California Institute of Technology, is seeking a researcher to develop battery materials and advance self-driving laboratory capabilities in a multidisciplinary setting.

You will design electrode and electrolyte materials, test their performance, and contribute to scale-up and process development while staying abreast of industry trends and collaborating with AI/robotics teams.

Qualifications

  • Postgraduate degree from a top institution in a relevant field.
  • Familiarity with cathode, anode and/or solid electrolyte materials for lithium-ion or sodium-ion batteries.
  • Strong evidence of scientific excellence through research, publications, or R&D work.

Responsibilities

  • Design and prepare battery electrode and electrolyte materials.
  • Evaluate physical properties and electrochemical performance from materials tests to pouch cells.
  • Drive scale-up of material preparation, including formulation optimization and pilot process development.
  • Track research progress and battery industry trends to inform our roadmap.
  • Collaborate with AI and robotics teams to enhance our self-driving laboratory.

Skills

Battery materials design
Electrochemical testing
Data analysis & literature review

Education

Postgraduate degree in materials science, chemistry, electrochemistry, physics or related discipline

Job description

Hong Kong Quantum AI Lab, an R&D centre jointly established by The University of Hong Kong and the California Institute of Technology, is seeking a researcher to develop battery materials and advance self-driving laboratory capabilities in a multidisciplinary setting.

You will design electrode and electrolyte materials, test their performance, and contribute to scale-up and process development while staying abreast of industry trends and collaborating with AI/robotics teams.

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