Postdoctoral Research Associate in Fungal Process Systems Engineering and AI
Core
Develop mechanistic and hybrid AI models for fungal growth and polymer degradation, validate them via lab experiments, and coordinate autonomous self-driving laboratory workflows for plastics biodegradation research.
Role type
Postdoctoral Research Associate (Research & Lab Coordination)
Builds
Production ML models | research | infrastructure
Domain
Chemical engineering, biotechnology, AI, sustainable plastics
Deliverable
production ML models
Required skills
mechanistic modelling, numerical simulation, optimisation of biological/process systems, AI/machine learning application, Python programming, experimental design, lab validation
Preferred skills
fungal/microbial biotechnology, plastics biodegradation, laboratory automation, autonomous experimentation, tertiary level teaching
Technologies
Python
Responsibilities
Develop and validate mechanistic/hybrid AI models of fungal growth and bioreactor performance; apply machine learning to guide experiments; design and undertake laboratory experiments to validate predictions; develop automated workflows for experimental design and data analysis; coordinate day-to-day research group activities and lab operations; support research students and junior researchers; assist with project reporting and funding applications.
Seniority
Postdoctoral (Early-career researcher)
