Postdoctoral Research Associate in Carbon-Neutral Energy Demand Forecasting
Join a net-zero energy research project developing high-resolution demand models in partnership with Mitsubishi Heavy Industries.
Best for:Best for researchers with a PhD in energy systems or engineering and strong programming skills in Python, Julia, or Matlab.
Overview
The University of Sydney invites applications for two full-time Postdoctoral Research Associate positions within the Faculty of Engineering. Working jointly across the School of Electrical and Computer Engineering and the School of Chemical and Biomolecular Engineering, the successful candidates will contribute to an Australian Research Council-funded project focused on carbon-neutral energy demand forecasting. The role involves developing precinct-scale modelling platforms, conducting scenario-based analyses for Australia's energy transition, and collaborating closely with industry partners such as Mitsubishi Heavy Industries. Applicants are expected to conduct independent and collaborative research, publish findings in leading journals, and help shape infrastructure planning for a sustainable future.
What you'll do
- Develop, implement, and maintain an agent-based and engineering-driven demand forecasting framework within the DEEPSyM-Grid platform.
- Undertake scenario-based analyses and quantify uncertainty in demand projections regarding policy settings and technology adoption.
- Engage with industry stakeholders to co-design and validate modeling assumptions and outcomes.
- Align demand modeling frameworks with supply-side system planning tools such as PLEXOS in cooperation with industry partners.
- Disseminate research outcomes through high-impact journal articles, conference papers, technical workshops, and policy briefings.
Requirements
Degree required: PhD (or near completion) in power and energy systems, process systems engineering, industrial decarbonization, energy economics, or a related discipline
Language: English; strong professional proficiency
Instruction: English
Publications: Demonstrated record of publishing research in international peer-reviewed journals
- Demonstrated expertise in at least one of demand modeling, energy systems optimization, agent-based modeling, or techno-economic forecasting
- Proficiency in scientific programming using Julia, Python, or Matlab
- Competence in advanced data analysis and probabilistic modeling techniques
- Demonstrated ability to conduct high-quality academic research both independently and within collaborative teams
- Proven track record of writing and publishing research articles in international peer-reviewed journals
- Strong verbal and written communication skills for stakeholder engagement
- Open to qualified researchers worldwide holding or nearing completion of a relevant doctoral degree
Funding & terms
How to apply
Deadline: 2026-11-19
Prepare a comprehensive cover letter, academic curriculum vitae, and any supporting documentation. Submit your application online through the university's applicant portal by clicking the Apply button. Current internal employees should apply directly via their Workday dashboard.
- CV
- Cover letter
- Supporting documentation
Contact
Rebecca Astar or Cherie Goodwin· Recruitment Contacts
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