At a Glance
- Tasks: Advance AI/ML methods for next-gen solar technologies and analyse data in a collaborative setting.
- Company: UNSW's School of Photovoltaic and Renewable Energy Engineering, a leader in renewable energy research.
- Benefits: Opportunity to work with experts, attend conferences, and contribute to groundbreaking research.
- Other info: Join a dynamic team focused on innovative renewable energy solutions.
- Why this job: Make a real impact on sustainable energy solutions while developing your skills in AI/ML.
- Qualifications: PhD in relevant field and experience in AI/ML and data analysis.
The predicted salary is between 63000 - 77000 £ per year.
UNSW's School of Photovoltaic and Renewable Energy Engineering invites applications for a Postdoctoral Fellow to advance AI/ML and data-driven methods for thin-film and tandem photovoltaic technologies. You will develop predictive and physics-informed models, analyse datasets, and support multidisciplinary research in a collaborative environment.
Working under Scientia Professor Xiaojing Hao, you will help disseminate findings, participate in conferences, and supervise research students.
Postdoc in 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.
