12745 - Postdoctoral Research Associate in Hydrology
| Dyddiad hysbysebu: | 08 Gorffennaf 2025 |
|---|---|
| Cyflog: | £40,497 i £48,149 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 05 Awst 2025 |
| Lleoliad: | EH8 9XP |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 3 ddiwrnod yr wythnos |
| Cwmni: | University of Edinburgh |
| Math o swydd: | Dros dro |
| Cyfeirnod swydd: | 12745 |
Crynodeb
Grade UE07: £40,497 to £48,149 per annum
College of Science and Engineering / School of GeoSciences
Full-time: 35 hours per week
Fixed-term: 24 month contract
The Opportunity:
We are seeking a Postdoctoral Research Associate to join the SMART-HS (Smart Hydropower Solutions) project, led by the Universities of Oxford and Edinburgh in collaboration with partners in Vietnam. The project aims to transform hydropower forecasting and optimisation in Vietnam, Laos, and Cambodia by developing inclusive, data-driven solutions that enhance dam safety and energy efficiency amid climate change and ageing infrastructure.
The PDRA will work with Dr Simon Moulds on machine learning approaches for reservoir inflow forecasting, integrating diverse data sources such as satellite altimetry, in-situ observations, and climate model outputs. They will also develop methods to improve reservoir operations in a decentralised hydropower network. The role involves close collaboration with partners in the UK and Vietnam.
The post holder will be supported to develop new lines of research that align with the group’s interests, including developing their own fellowship / research funding proposals.
The salary for this post is £40,497 to £48,149 per annum. This post will be appointed no higher than UE07.2 which is £41,671, which is within a range of £40,497 - £48,149.
Your skills and attributes for success:
A PhD (or about to obtain one) in Physical Geography, Environmental Science, Civil Engineering or a related discipline
Experience with a high-level programming language (e.g. Python, Julia)
Experience using and processing a variety of hydrological and environmental data sources, including large spatiotemporal datasets
Proficient in scientific writing and an ability to lead the preparation of scientific papers for refereed journals, with a strong research and publication track record (relative to career stage)
Excellent written and oral communication and team-working skills
College of Science and Engineering / School of GeoSciences
Full-time: 35 hours per week
Fixed-term: 24 month contract
The Opportunity:
We are seeking a Postdoctoral Research Associate to join the SMART-HS (Smart Hydropower Solutions) project, led by the Universities of Oxford and Edinburgh in collaboration with partners in Vietnam. The project aims to transform hydropower forecasting and optimisation in Vietnam, Laos, and Cambodia by developing inclusive, data-driven solutions that enhance dam safety and energy efficiency amid climate change and ageing infrastructure.
The PDRA will work with Dr Simon Moulds on machine learning approaches for reservoir inflow forecasting, integrating diverse data sources such as satellite altimetry, in-situ observations, and climate model outputs. They will also develop methods to improve reservoir operations in a decentralised hydropower network. The role involves close collaboration with partners in the UK and Vietnam.
The post holder will be supported to develop new lines of research that align with the group’s interests, including developing their own fellowship / research funding proposals.
The salary for this post is £40,497 to £48,149 per annum. This post will be appointed no higher than UE07.2 which is £41,671, which is within a range of £40,497 - £48,149.
Your skills and attributes for success:
A PhD (or about to obtain one) in Physical Geography, Environmental Science, Civil Engineering or a related discipline
Experience with a high-level programming language (e.g. Python, Julia)
Experience using and processing a variety of hydrological and environmental data sources, including large spatiotemporal datasets
Proficient in scientific writing and an ability to lead the preparation of scientific papers for refereed journals, with a strong research and publication track record (relative to career stage)
Excellent written and oral communication and team-working skills