At a Glance
- Tasks: Develop AI/ML models for next-gen solar technologies and analyse experimental data.
- Company: UNSW, a leading research university in Sydney.
- Benefits: Competitive salary, superannuation, and opportunities for research dissemination.
- Other info: Fixed-term position with potential for extension and career growth.
- Why this job: Join a cutting-edge team and contribute to sustainable energy solutions.
- Qualifications: PhD in relevant field with experience in AI/ML and photovoltaics.
UNSW is seeking a Postdoctoral Fellow in AI and Machine Learning for Photovoltaics in Sydney. The role focuses on AI/ML for thin-film and tandem photovoltaics, developing predictive models and analyzing experimental data. You will contribute to research dissemination, conferences, and supervision of research students, reporting to Prof Xiaojing Hao. The position is a fixed-term 1 year with potential extension, salary AUD 118,467 to 126,711 plus 17% superannuation, located in Kensington – Sydney, #J-18808-Ljbffr
Postdoc: AI/ML for Next-Gen Solar Photovoltaics employer: UNSW
UNSW is an exceptional employer, offering a dynamic and inclusive work culture that prioritises equity and diversity. As a part-time Research Associate at The Kirby Institute, you will have the opportunity to engage in meaningful research that impacts public health while collaborating with leading experts in a supportive environment. With a focus on employee growth and development, UNSW provides unique advantages such as flexible hybrid working arrangements and access to cutting-edge resources.
We think you need these skills to ace Postdoc: AI/ML for Next-Gen Solar Photovoltaics
AI/ML
Predictive Modelling
Data Analysis
Research Dissemination
Conference Presentation
Supervision of Research Students
Experimental Data Analysis
