ML Research Assistant: Physics & Biomaterials Interface in Nottingham

ML Research Assistant: Physics & Biomaterials Interface in Nottingham

Nottingham Full-Time 28000 - 35000 Β£ / year (est.) No working from home possible
University Of Nottingham

At a Glance

  • Tasks: Conduct cutting-edge research in machine learning and biomaterials.
  • Company: Join the University of Nottingham, a leader in innovative research.
  • Benefits: Gain valuable experience in a dynamic academic environment.
  • Other info: Full-time role with opportunities for growth and collaboration.
  • Why this job: Make a real impact in the field of medical devices and biomaterials.
  • Qualifications: Background in machine learning or physics is preferred.

The predicted salary is between 28000 - 35000 Β£ per year.

University of Nottingham invites applications for a Research Assistant in machine learning (Fixed Term).

Based in University Park, you will conduct computational research at the interface of large language models and statistical mechanics, with applications to biomaterials and translation-ready medical devices under the EPSRC grant.

The role is full-time (36.25 hours per week) for one year, starting 01/09/26.

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ML Research Assistant: Physics & Biomaterials Interface in Nottingham employer: University Of Nottingham

The University of Nottingham is an excellent employer, offering a supportive work culture that values teamwork and individual contributions. Employees benefit from flexible working hours, access to health facilities, and a generous holiday allowance, making it an ideal place for those seeking meaningful part-time employment while contributing to a vibrant academic community.

University Of Nottingham

Contact Details:

University Of Nottingham Recruitment Team

We think you need these skills to ace ML Research Assistant: Physics & Biomaterials Interface in Nottingham

Machine Learning
Computational Research
Large Language Models
Statistical Mechanics
Biomaterials
Medical Devices
Data Analysis