Research Scientist

4 weeks ago


Loughborough LE TT, United Kingdom Loughborough University Full time
Job Title: Research Associate - Data Analytics and Machine Learning for Manufacturing

Job Reference: REQ240855

Location: Loughborough

Package: Specialist and Supporting Academic Research grade 6 from £34,866 to £45,163

Job Type: Fixed-term contract for 12 months

Job Description:

We are seeking a highly skilled data scientist to join our team at Loughborough University. The successful candidate will have a strong background in data analytics and machine learning, with a particular focus on manufacturing and engineering.

The role will involve utilizing data analytics techniques and methods to study the design, manufacture, and validation of alloys, porous structures, and their performance in various applications. The successful candidate will work closely with our research team to develop and implement data-driven solutions to optimize manufacturing processes and reduce waste.

Key Responsibilities:

  • Develop and implement data analytics techniques and methods to study the design, manufacture, and validation of alloys and porous structures
  • Work closely with the research team to develop and implement data-driven solutions to optimize manufacturing processes
  • Collaborate with industry partners to identify areas for improvement and develop solutions
  • Conduct research and analysis to identify trends and patterns in manufacturing data
  • Develop and maintain databases and data visualizations to support research and decision-making

Requirements:

  • PhD in a relevant field (e.g. data science, machine learning, engineering)
  • Strong background in data analytics and machine learning
  • Experience working with large datasets and data visualization tools
  • Excellent communication and collaboration skills
  • Ability to work independently and as part of a team

What We Offer:

  • Competitive salary and benefits package
  • Opportunities for professional development and growth
  • Collaborative and dynamic work environment
  • Access to state-of-the-art research facilities and equipment

How to Apply:

For more information and to apply, please visit our website.


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