Summary: The University of Manchester invites applications for a fully funded PhD position in multiscale modelling of polymer composites. The project, commencing in September 2024, focuses on addressing challenges in the formulation of polymeric materials, specifically the selection of plasticizers. The research will involve computational screening of potential plasticizer molecules using molecular dynamics and machine learning methods, aiming to identify optimal candidates for filler/polymer compounds. The project is co-sponsored by Continental, offering the student a 3-month secondment.
Designation: PhD Student
Research Area: Multiscale Modelling of Polymer Composites
Location: Manchester
Eligibility/Qualification:
- UK students (fully funded project covers home fees and stipend)
- International students with a strong CV in simulations are also encouraged to inquire
- Relevant qualifications in materials science, chemistry, or related fields
Job Description:
PhD Studentship: Coupling Material Simulation and Machine Learning to Speedup Polymer Compounds Development
The PhD student will:
- Develop a computational procedure for screening potential plasticizer molecules
- Conduct high-throughput simulations of polymer and plasticizers for model reduction
- Implement machine learning models to identify optimal candidate molecules
- Collaborate with scientists at Continental and undergo a 3-month secondment
How to Apply: Click the ‘Apply’ button above. For informal inquiries, send a CV to paola.carbone@manchester.ac.uk.
Last Date for Apply: 29 February 2024
Disclaimer: This job post is sourced from a reliable platform. Applicants are encouraged to verify details and check for updates on the official University of Manchester website: Official Site.
