Monash/Bayreuth Double PhD Degree in Organic Semiconductor Discovery
Accelerate organic semiconductor discovery using generative AI, molecular dynamics, and DFT in an international double PhD program.
Best for:Best for computational chemistry or machine learning graduates seeking an international double PhD in advanced materials discovery.
Overview
This elite international double-degree doctoral program is delivered through a partnership between Monash University and the University of Bayreuth within the framework of the DFG-funded IRTG OPTEXC initiative. The successful candidate will investigate how to combine generative AI, molecular dynamics, and density functional theory to design next-generation organic semiconductor materials. The role involves working at the intersection of computational chemistry, materials science, and machine learning, including a mandatory 6 to 12-month research stay in Germany. Upon completion, the candidate will graduate with a recognized double PhD degree from both institutions.
What you'll do
- Develop computational approaches combining generative AI, molecular dynamics, and DFT to model semiconductor properties.
- Design and discover novel organic semiconductor materials with tailored optoelectronic characteristics.
- Conduct an extended research stay of 6 to 12 months at the University of Bayreuth partner institution.
- Collaborate within an interdisciplinary research team across international and multi-institutional academic networks.
- Disseminate research findings through academic publications and presentations.
Requirements
Degree required: Bachelor Honours degree (H1 or equivalent) and/or Master's degree in a relevant discipline
Degree offered: PhD
Language: English; strong written and verbal communication skills
Instruction: English
- Background or experience in computational chemistry
- Experience with materials simulation or molecular dynamics
- Proficiency in scientific machine learning or AI
- Familiarity with density functional theory (DFT) or materials science
- Strong problem-solving and independent research capabilities
- Must hold or be close to completing a Bachelor Honours degree (H1 standard) or Master's degree with an excellent academic record
- Applicants who already hold a PhD are not eligible
Funding & terms
How to apply
Review the project details and prepare your academic records, transcripts, and supporting documentation. Submit your application through the official job portal link provided in the posting.
- CV
- Academic transcripts
- Cover letter
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