AI-Driven Materials & Manufacturing Research Associate

CamWebDir; Cambridgeshire and Peterborough; Remote; GBP 33,000 - 46,000; Full time

Job summary

The University of Cambridge, Department of Engineering, seeks a Research Assistant/Associate in AI for Materials and Manufacturing on a fixed-term basis to develop uncertainty-aware digital twin and AI control architectures for advanced materials processing.

The role involves multidisciplinary collaboration across protein design, nanocrystal synthesis, flow chemistry, printing, and scale-up, with an emphasis on machine learning for materials informatics and process optimization.

Qualifications

• PhD in engineering, CS, math, data science or related field.
• Strong ML/statistical modelling for physical systems.

Responsibilities

• Develop uncertainty-aware digital twin and AI control architecture.
• Integrate descriptors, models and metrology for process control.
• Support data sharing, model interfaces and reports.

Skills

ML/Stat modelling

Scientific programming

Data workflows

Collaboration

Education

PhD (near completion)

Tools

Python

MATLAB

R

Job description

The University of Cambridge, Department of Engineering, seeks a Research Assistant/Associate in AI for Materials and Manufacturing on a fixed-term basis to develop uncertainty-aware digital twin and AI control architectures for advanced materials processing.

The role involves multidisciplinary collaboration across protein design, nanocrystal synthesis, flow chemistry, printing, and scale-up, with an emphasis on machine learning for materials informatics and process optimization.