Research Assistant/Associate in Large Language Models Applied to Crystal Plasticity (Fixed Term)

University of Cambridge; Cambridge; On-site; GBP 32,000 - 46,000; Full time

Job summary

The University of Cambridge is seeking a Research Assistant/Associate in Large Language Models Applied to Crystal Plasticity. The role involves setting up a machine learning framework and conducting analyses to optimize material performance, contributing to high-quality research with national and international impact.

Qualifications

• Experience in setting up machine learning frameworks.
• Proven ability to validate results from experiments.
• Comfortable in assisting with grant administration and writing reports.

Responsibilities

• Set up machine learning framework to predict plastic behaviour.
• Validate results using theory and experiments.
• Assist with data analysis and reporting.

Skills

Data Analysis

Machine Learning

Scientific Writing

Education

PhD in Mechanical Engineering or Materials Science

Job description

Research Assistant/Associate in Large Language Models Applied to Crystal Plasticity (Fixed Term)

1 day ago Be among the first 25 applicants

One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour of polycrystalline metals. The post holder will be located in Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties include setting up the framework; validating the results using theory and experiments; supporting other group members with data analysis and interpretation from both simulations and experimental data; and use the developed framework to design new materials with optimised performance. The role holder is expected to support and maintain the University's national and international reputation for excellence in research and teaching by producing high quality results which will be published in peer-reviewed journals and disseminate at national and international conferences. They will also assist with writing reports for funding bodies and with grant administration. The role holder is expected to work and interact with other members of Division C in the Engineering Department as well as our industrial partners. They will contribute to seminars and to take part in the research group's broader research activities. The applicant will have obtained or be close to obtaining a PhD in Mechanical Engineering or Materials Science.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Research Assistant: £32,546 - £35,116 Research Associate: £37,174 - £45,413

Fixed-term: The funds for this post are available for 12 months in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload your Curriculum Vitae (CV) inclusive of publication list and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy, please contact Dr Burigede Liu, ([e-mail]) for queries of a technical nature related to the role and Liz Howard, ([e-mail]) for queries related to the application process.

Please quote reference NM46040 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

• HR7_Further Particulars
  
  

Apply online

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Research Services

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