Warning
Mae'r hysbyseb swydd hon wedi dod i ben ac mae'r ceisiadau wedi cau.
11771 - Postdoctoral Research Associate in Machine Learning Knots
| Dyddiad hysbysebu: | 03 Ionawr 2025 |
|---|---|
| Cyflog: | £40,247 i £47,874 bob blwyddyn, pro rata |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 31 Ionawr 2025 |
| Lleoliad: | Edinburgh, Scotland |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 4 ddiwrnod yr wythnos |
| Cwmni: | University of Edinburgh |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 11771 |
Crynodeb
The Opportunity: PDRA in Machine learning knots.
The job purpose is to perform research on Machine Learning (ML) of topologically complex polymers and molecules within Davide Michieletto’s TAPLab group. The post holder will contribute to drafting papers, writing grant proposals, and to present/disseminate results to conferences where appropriate.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
The salary for this post is £40,247-£47,874.The post is fixed term for 2 years.
Your skills and attributes for success:
Ability to code at high standards and rigour.
Theoretical and/or practical knowledge of machine learning and topology.
Experience in writing scientific papers.
The job purpose is to perform research on Machine Learning (ML) of topologically complex polymers and molecules within Davide Michieletto’s TAPLab group. The post holder will contribute to drafting papers, writing grant proposals, and to present/disseminate results to conferences where appropriate.
This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
The salary for this post is £40,247-£47,874.The post is fixed term for 2 years.
Your skills and attributes for success:
Ability to code at high standards and rigour.
Theoretical and/or practical knowledge of machine learning and topology.
Experience in writing scientific papers.