Postdoctoral Research Associate at University of Liverpool in Machine Learning for Organic Materials Discovery – Grade 7
Job Overview
Title | University of Liverpool – Faculty of Science and Engineering (SCE) – School of Physical Sciences – Department of Chemistry |
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Location | Liverpool |
Salary | £39,105 to £45,163 per annum |
Hours | Full Time |
Contract Type | Fixed-Term/Contract |
Posted On | 2nd October 2024 |
Closing Date | 17th November 2024 |
Job Ref | 086149 |
Position Summary
The University of Liverpool is offering an exciting opportunity for a Postdoctoral Research Associate to join the group of Royal Society Research Professor A. I. Cooper FRS. This position focuses on the development of advanced machine learning and computational methodologies to discover new organic materials. The ideal candidate will contribute to groundbreaking research in the field of organic materials chemistry by leveraging both established and innovative AI and machine learning techniques.
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This position is perfect for a motivated and ambitious scientist passionate about using machine learning to make significant advances in new materials. Applicants should hold a PhD in Chemistry, Chemical Engineering, Physics, Computer Science, or Materials Science. The ideal candidate should enjoy working collaboratively, be driven to keep current with scientific advancements, and be keen to share knowledge and mentor others within the research group.
Project Highlights
Supervisor | Professor Andrew Cooper FRS |
Research Focus | Machine learning and AI-driven discovery of new organic materials |
Location | Materials Innovation Factory, University of Liverpool |
Contract Duration | 2 years |
Career Pathways | Opportunities in both academia and industry |
Key Benefits
Fixed-term Contract | 2-year duration with potential career growth opportunities. |
Innovative Environment | Work at the cutting edge of materials science research at the Materials Innovation Factory. |
Professional Development | Opportunities to expand your skills and gain valuable experience in a supportive research setting. |
Diversity and Inclusion
The University of Liverpool is dedicated to fostering a diverse and inclusive work environment. We strongly encourage applications from individuals of all backgrounds, including Black, Asian, or Minority Ethnic groups, individuals with disabilities, LGBTQIA+ members, and people from any gender or identity. We believe in the power of diversity to drive creativity and innovation.
Note: Applicants who have not yet been awarded their PhD will be appointed at Grade 6, spine point 30. Once official confirmation of the PhD award is received, salary will be increased to Grade 7, spine point 31.
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Application Process
If you are excited about joining a leading-edge team pushing the boundaries of materials discovery, we would love to hear from you. For more details and to apply, please visit: recruit.liverpool.ac.uk.
Why You Should Apply
This role offers a unique chance to be involved in innovative research at the intersection of chemistry and machine learning. Whether you aim to continue your academic journey or pivot into the industrial sector, this position offers a diverse and enriching experience. Apply today to contribute to future-shaping advances in organic materials science.
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