Postdoctoral Fellow in Machine Learning Applications for Utility-scale Pv

2 weeks ago

Sydney, Australia University of New South Wales Full time

**Job no**: 532805
**Work type**: Full Time
**Location**: Sydney, NSW
**Categories**: Post Doctoral Research Associate

**The Opportunity**

This position will provide you with the opportunity to develop your scholarly research and professional activities both nationally and internationally. You will contribute to writing scientific papers and reports for international journals, participate in conferences and workshops, supervise HDR students, and actively engage with industry partners.

This role reports to Professor Ziv Hameiri and has no direct reports.
- Level A, Salary - $110,059 to $117,718 per annum + 17% superannuation
- Full time
- Fixed-term contract -ASAP start until December 2025
- Location: Kensington - Sydney, Australia

**About UNSW**

UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place.

**Skills & Experience**:

- A PhD in Computer Science or a related field.
- Thorough theoretical background in machine learning and deep learning.
- Proven expertise in (and/or proven ability to learn if necessary):

- One or more scientific programming languages, such as Python (preferred) or R, with a preference for functional style and algorithms experience.
- One or more deep learning frameworks, such as PyTorch (preferred) or TensorFlow, with a preference for experience implementing SOTA models and training procedures from academic journal papers.
- Development of data engineering pipelines (data aggregation and processing, database management, analysis, and visualisation).
- Operating within Unix-based environments (headless servers, HPC clusters), with a preference for experience managing server infrastructure.
- Collaborative software development using tools such as git/GitHub or equivalent.
- Highly desirable: experience with generative representation learning models (VAEs, GANs, etc.) or similar unsupervised data modelling techniques.
- A strong practice of maintaining an open-source code repository.
- A solid theoretical background in semiconductor device physics or substantial practical experience in electrical engineering, especially related to photovoltaic devices and systems.
- Demonstrated research excellence. Evidence of winning major international awards for research is highly desirable.
- Demonstrated track record in research with outcomes of high quality and high impact.
- Proven commitment to proactively keeping up to date with discipline knowledge and developments.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
- Evidence of highly developed interpersonal skills.
- An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
- Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

**Contact**:
Eugene Aves - Talent Acquisition Consultant

**Applications close**:11:55 pm (Sydney time) on Monday 16 June 2025

Position Description

**Advertised**: 03 Jun 2025 AUS Eastern Standard Time
**Applications close**: 16 Jun 2025 AUS Eastern Standard Time

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