AI for Materials & Manufacturing - Research RA/Associate

University of Cambridge

Cambridge

On-site

GBP 33,000 - 46,000

Full time

4 days ago
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Job summary

University of Cambridge invites applications for a Research Assistant/Associate in AI for Materials and Manufacturing in the Department of Engineering, based in West Cambridge. The role supports a multidisciplinary project funded by ARIA, developing protein-guided, droplet-based routes to architected functional materials.

You will work across seven groups on advanced materials and manufacturing. Applicants should have a PhD in a relevant field or be close to completion, with expertise in machine

Qualifications

  • PhD in engineering, computer science, applied mathematics, physics, data science, materials science or closely related field.
  • Experience with machine learning or statistical modelling for physical systems.
  • Experience with quantitative model validation.
  • Scientific programming and reproducible data workflows.
  • Proven ability to collaborate across disciplines.
  • Desirable: hybrid modelling, uncertainty quantification, active learning or optimisation, digital twins, process control, multimodal metrology data or materials informatics.

Responsibilities

  • Develop the project's uncertainty-aware hybrid digital twin and AI control architecture.
  • Combine protein and formulation descriptors with reduced-order, physics-informed models and in-line metrology.
  • Support route down-selection and statistical process control with data-driven insights.
  • Collaborate with researchers across protein design, nanocrystal synthesis, flow chemistry, printing and scale-up.
  • Establish shared data and model interfaces and communicate model uncertainty and limitations.
  • Contribute to reports, publications, presentations and programme stage gates.

Skills

Machine learning
Statistical modelling
Scientific programming
Multidisciplinary collaboration
Data workflows

Education

PhD in engineering, computer science, applied mathematics, physics, data science, materials science or closely related

Job description

University of Cambridge invites applications for a Research Assistant/Associate in AI for Materials and Manufacturing in the Department of Engineering, based in West Cambridge. The role supports a multidisciplinary project funded by ARIA, developing protein-guided, droplet-based routes to architected functional materials.

You will work across seven groups on advanced materials and manufacturing. Applicants should have a PhD in a relevant field or be close to completion, with expertise in machine

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