As a part of the NRF CRP Project on perovskite-based memristor devices, we are looking to hire a Research Fellow with a strong background in automation, data management, python programming, some machine learning, optimization and materials science.

Key Responsibilities:

• Set up a self-driving lab for perovskite-based thin film deposition, opto-electrical characterization with optimization and data analytics, focused on, but not limited to memristor applications.
• Work closely with other team members on experimental projects within the program.

Job Requirements:

• PhD in materials science, physics, chemistry, electrical engineering and/or related areas.
• Strong previous experience in building and assembling robotic systems, especially in materials research is critical.
• Experience in solution-based materials deposition is necessary, especially in halide-perovskite based systems.
• Skills and experience in quantitative research, robotics and electrical characterization and interfacing.
• Expertise in materials characterization techniques is necessary.
• Good analytical and academic writing skills
• Must also be informed in data management
• A good team player with effective communication skills and the ability to work closely with faculty, staff and external collaborators
• Good project management skills

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU