At a Glance
- Tasks: Advance AI/ML methods for next-gen solar tech and analyse exciting datasets.
- Company: UNSW, a leading university in renewable energy research.
- Benefits: Competitive salary, access to cutting-edge resources, and opportunities for professional growth.
- Other info: Join a dynamic team and contribute to groundbreaking research in renewable energy.
- Why this job: Make a real impact on sustainable energy solutions while collaborating with top researchers.
- Qualifications: PhD in relevant field and strong background in AI/ML and data analysis.
The predicted salary is between 63000 - 77000 $ per year.
UNSW seeks a Postdoctoral Fellow in the School of Photovoltaic and Renewable Energy Engineering (SPREE) to advance AI/ML and data-driven methods for emerging photovoltaic technologies.
You will build predictive and physics-informed models, analyse datasets, and contribute to multidisciplinary research activities.
You will disseminate findings through conferences and journals, and assist with supervising research students under the leadership of Scientia Professor Xiaojing Hao.
Postdoctoral AI/ML Researcher for Next-Gen Solar Tech employer: UNSW
UNSW is an exceptional employer that fosters a collaborative and innovative work culture, providing employees with the opportunity to make a meaningful impact through their fundraising efforts. Located in a vibrant academic environment, staff benefit from professional development opportunities, a commitment to diversity, and a supportive community that values each individual's contributions. Join us to be part of a mission-driven organisation dedicated to advancing education and research while enjoying a fulfilling career.
