Overview
Fully funded 3.5-year joint doctoral project combining generative AI, molecular dynamics and density-functional theory to accelerate organic-semiconductor discovery, with research at Monash and Bayreuth.
Complete research opportunity details
The full-time double-degree project is based at Monash's Clayton campus with an extended research stay at the University of Bayreuth in Germany. The advertised 2026 stipend is AUD 37,145 per year tax-free, and the source states that a 12-month research stay in Germany is fully funded.
Eligibility requirements
Applicants should hold or be close to completing a Bachelor Honours degree at H1-equivalent standard and/or a Master's degree with an excellent academic record. Relevant backgrounds include computational chemistry, materials simulation, scientific machine learning/AI, molecular dynamics, DFT or materials science. Applicants who already hold a PhD are not eligible.
Tips for this phd opportunity
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
- Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
- Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
- Contact a supervisor before applying only when the official instructions recommend or require it.
Verification notes
Primary Monash careers posting checked while open. Source states 30 November 2026 at 11:55pm AEDT or earlier if filled; converted to 12:55 UTC. Job 698040.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
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