PhD Researcher in Battery Materials (Remote, Research)

Job summary

Two PhD scholarships are available in the field of computational modeling and experimental investigation of battery materials and fabrication, focusing on self-healing interfaces and sustainable energy storage systems. Candidates will work on either computational or experimental aspects of battery research, contributing to a collaborative environment aimed at advancing battery technology.

Qualifications

• Strong communication skills in English, both written and spoken.
• Ability to work independently and manage project quality and progress.
• Proven expertise in computational/theoretical physics, chemistry, materials science, or related fields.
• Experience in materials modeling, electrochemistry, or battery fabrication is essential.
• A two-year master's degree (120 ECTS points) or equivalent is required.

Responsibilities

• For the computational position: Develop an AI-enhanced multiscale modeling framework to study ion transport and interfacial evolution, extending models to capture degradation and self-healing phenomena.
• For the experimental position: Synthesize and characterize novel solid-state electrolytes, investigate their interfaces, and validate self-healing strategies through advanced electrochemical testing.
• Collaborate in a feedback loop where modeling predictions inform experiments and vice versa, accelerating materials discovery.

Skills

• Expertise in computational modeling techniques and materials science.
• Proficiency in experimental techniques for battery materials characterization.
• Strong analytical and problem-solving skills.

Education

• A master's degree in a relevant field is required.

Tools

• Familiarity with density functional theory, molecular dynamics, and machine learning techniques for modeling.
• Experience with electrochemical testing and characterization methods.