At a Glance
- Tasks: Develop AI and machine learning models for innovative solar technologies.
- Company: Join UNSW, a world-leading institution in renewable energy research.
- Benefits: Competitive salary, superannuation, and opportunities for career growth.
- Other info: Collaborative environment with potential for extended contract and global influence.
- Why this job: Make a real impact on sustainable energy solutions and advance your research career.
- Qualifications: PhD in relevant field with experience in AI and data analysis.
The predicted salary is between 126711 - 126711 £ per year.
This role will focus on the development and application of artificial intelligence (AI), machine learning (ML) and data-driven methodologies for emerging thin-film and tandem photovoltaic technologies, contributing to innovative research that supports the advancement of next-generation photovoltaic technologies.
Working within a collaborative research environment, you will help develop predictive and physics-informed models, analyse experimental and operational datasets, and support multidisciplinary research activities. This position will provide you with the opportunity to develop your scholarly research and professional activities.
You will contribute to the dissemination of research outcomes through appropriate channels and outlets, participate in conferences and workshops, and assist with the supervision of research students. This role reports to Scientia Professor Xiaojing Hao and has no direct reports.
Salary, Level A - AUD $118,467 to $126,711 per annum + 17% superannuation. Full time Fixed-term contract – 1 year (with the possibility of extension for another 4 years).
The School of Photovoltaic and Renewable Energy Engineering is internationally recognised for its record-breaking research in solar power (photovoltaics) and renewable energy. The PERC solar cell was first invented at UNSW in our labs in 1983 and today powers more than 85% of all new solar panel modules all over the world. SPREE’s work and people have changed the face of sustainable energy on the global stage, and we continue to be at the forefront of leading-edge research and development in the field of renewable technology as our economies transition away from fossil fuels.
Postdoctoral Fellow in AI and Machine Learning for 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.
