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Fully Funded PhD Programs Data-Driven Reaction Optimisation University of Nottingham  🇬🇧

A data-driven scientist who wants to change chemistry? The University of Nottingham provides a unique fully funded PhD in Data-Driven Reaction Optimisation. Join a cutting-edge research team and use data to transform chemical processes.

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University of Nottingham PhD Programs Overview

Fully Funded PhD Programs: Data-Driven Reaction Optimisation University of Nottingham 

Data-driven reaction optimization PhD opening

  • Institute: University of Nottingham
  • Location: Nottingham
  • Funding for UK Students: Competitive funding amount
  • Hours: Full-Time
  • Last Date: October 11, 2024.
  • See Reference: ENG199 for Area.
  • Engineering
Breaking News: Fully funded PhD in UK for international students 2024-25

Area of Study

Reaction Optimization, Flow Chemistry, Reaction Engineering, Lab Automation, Machine Learning

University of Nottingham PhD Programs Research Topic Overview:

A 36-month supported PhD studentship will integrate high-data-density reaction approaches, laboratory automation and robotics, and kinetic/machine learning modelling to advance reaction optimization.

This interesting initiative uses flow chemistry ramping and high-throughput experimentation to optimize reaction synthesizing life-saving medications while preserving reaction material.

Data will be utilized to populate chemical reaction models to simulate and tune reactions for maximum yields and purity.

The research will use cutting-edge commercial and in-house technology. As a major team member, you will advance reaction optimization, automation, and chemical data modelling.

PhD Programs Key duties:

High-data-density reaction methods like flow chemistry ramping and high-throughput experimentation can improve reaction optimization.

Analyse complicated datasets, extract insights and optimize chemical reactions via machine learning and kinetic modelling.

Work with internal organizations, such as the Centre for Additive Manufacturing (CfAM), to design and 3D print project-specific equipment.

Help interdisciplinary research groups collaborate and share discoveries through publications and conferences.

PhD Programs Qualifications:

Master’s degree in chemistry, chemical engineering, or a comparable subject.

Preferred skills include reaction optimization, flow chemistry, and high-throughput experimentation.

Learning Python/MATLAB, utilized in machine learning applications, can be done during the PhD.

Excellent communication and interpersonal abilities for interdisciplinary research teamwork.

How to Apply Fully Funded PhD Programs at the University of Nottingham?

Click ‘Apply’ above to submit your CV and cover letter describing your research interests and relevant experience. For PhD information and informal talk, don’t hesitate to contact this email. 

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Fully Funded PhD Programs Data-Driven Reaction Optimisation University of Nottingham  🇬🇧

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