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.
