12802 - Postdoctoral Research Associate
| Dyddiad hysbysebu: | 18 Awst 2025 |
|---|---|
| Cyflog: | £41,064 i £48,822 bob blwyddyn, pro rata |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 15 Medi 2025 |
| Lleoliad: | Edinburgh, Scotland |
| Gweithio o bell: | Ar y safle yn unig |
| Cwmni: | University of Edinburgh |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 12802 |
Crynodeb
Grade UE07: £41,064 to £48,822 per annum, pro-rata if part-time
College of Science and Engineering / School of Biological Sciences / Institute of Ecology and Evolution
Full-time: 35 hours per week
Fixed-term: 1st December 2025 – 30th November 2027
The Opportunity:
We are looking for a Postdoctoral researcher to join the research group of Dr. Matthew Silk (Institute of Ecology & Evolution, University of Edinburgh). The post would suit a researcher interested in applying network approaches in the context of behavioural and disease ecology. The ideal candidate will have strong skills in social network modelling and quantitative data analysis.
The project will use data-driven computational epidemiological models and statistical analysis of empirical datasets to investigate how animal social structure and dynamics contribute to the maintenance potential of wildlife disease hosts.
The successful applicant will join an interdisciplinary research group working at the interface of ecology and network science. The post-holder will be expected to work with a high degree of independence, and encouraged to contribute their own ideas to the project direction. They will be expected to disseminate their results in papers, conference presentations, and/or other outputs, and will be supported in career development.
This post is advertised as full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns.
Your skills and attributes for success:
Experience using computational models for social networks.
Strong skills in data processing and statistics.
Knowledge of key concepts in social ecology and evolution.
Excellent critical thinking and problem-solving skills.
Excellent time management and organisation.
College of Science and Engineering / School of Biological Sciences / Institute of Ecology and Evolution
Full-time: 35 hours per week
Fixed-term: 1st December 2025 – 30th November 2027
The Opportunity:
We are looking for a Postdoctoral researcher to join the research group of Dr. Matthew Silk (Institute of Ecology & Evolution, University of Edinburgh). The post would suit a researcher interested in applying network approaches in the context of behavioural and disease ecology. The ideal candidate will have strong skills in social network modelling and quantitative data analysis.
The project will use data-driven computational epidemiological models and statistical analysis of empirical datasets to investigate how animal social structure and dynamics contribute to the maintenance potential of wildlife disease hosts.
The successful applicant will join an interdisciplinary research group working at the interface of ecology and network science. The post-holder will be expected to work with a high degree of independence, and encouraged to contribute their own ideas to the project direction. They will be expected to disseminate their results in papers, conference presentations, and/or other outputs, and will be supported in career development.
This post is advertised as full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns.
Your skills and attributes for success:
Experience using computational models for social networks.
Strong skills in data processing and statistics.
Knowledge of key concepts in social ecology and evolution.
Excellent critical thinking and problem-solving skills.
Excellent time management and organisation.