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Research Associate in Artificial Intelligence and Decision Making

LOUGHBOROUGH UNIVERSITY

Loughborough

On-site

GBP 40,000 - 60,000

Full time

3 days ago
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Job summary

A leading university in the UK is looking for a researcher to join its European research consortium PHARMECO. The role involves developing sustainable pharmaceutical manufacturing technologies, utilizing advanced tools and simulations. The ideal candidate should have experience with synthetic processes and be proficient in evaluating environmental and regulatory criteria. This position offers an exciting opportunity to contribute to innovative research in the field.

Qualifications

  • Experience with synthetic routes and manufacturing processes in pharmaceuticals.
  • Knowledge of artificial intelligence applications in manufacturing.
  • Ability to perform life cycle assessments (LCA).

Responsibilities

  • Develop Safe and Sustainable by Design (SSbD) synthetic routes and processes.
  • Utilize AI and advanced simulations for route optimization.
  • Generate process data for LCA and early-stage experimentation.
Job description

School of Aeronautical Automotive Chemical and Materials Engineering

The researcher will join the flagship European research consortium PHARMECO, which aims to develop practical tools and frameworks for the next generation of sustainable pharmaceutical manufacturing technologies.

The primary objective of this position is to develop Safe and Sustainable by Design ( SSbD ) synthetic routes and manufacturing processes for both small and large active pharmaceutical ingredients (APIs), including peptides and oligonucleotides.

The researcher will leverage state-of-the-art computer-assisted retrosynthesis tools, artificial intelligence, and advanced process simulation technologies to design, optimize, and rank total synthetic routes. They will also develop systematic decision-making frameworks to evaluate and compare alternative routes based on multiple competing criteria, such as environmental footprint, cost, and regulatory compliance.

Furthermore, the researcher will generate process and inventory data to support prospective life cycle assessments (LCA) and contribute to early- stage experimentation and simulation activities.

For more information refer to the Job Description and Person Specification.

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