At a Glance
- Tasks: Advance AI and ML for next-gen solar technologies through predictive models and data analysis.
- Company: UNSW’s School of Photovoltaic and Renewable Energy Engineering, a leader in renewable energy.
- Benefits: Opportunity to publish research, collaborate across disciplines, and gain valuable experience.
- Other info: Fixed-term 1-year appointment with potential for extension in vibrant Sydney.
- Why this job: Make a real impact on the future of solar technology while working with cutting-edge AI.
- Qualifications: PhD in relevant field and strong analytical skills required.
The predicted salary is between 63000 - 77000 £ per year.
UNSW’s School of Photovoltaic and Renewable Energy Engineering invites a Postdoctoral Fellow to advance AI and ML for thin-film and tandem photovoltaics, building predictive models and data‑driven approaches to accelerating next‑gen solar technologies.
You will analyse experimental datasets, collaborate across disciplines, supervise students, and contribute to publications and conferences, reporting to Prof Xiaojing Hao.
This is a fixed‑term 1‑year appointment with possible extension in Sydney.
Postdoctoral Fellow: AI & ML for Next-Gen 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.
