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- Tasks: Join a cutting-edge project to enhance hydropower forecasting and optimise reservoir operations.
- Company: Be part of the University of Edinburgh, a leader in research and innovation.
- Benefits: Enjoy a competitive salary, generous holidays, and comprehensive staff benefits.
- Why this job: Work on impactful solutions for climate change while collaborating internationally.
- Qualifications: PhD in relevant fields and experience with programming and data processing required.
- Other info: Opportunity to develop your own research proposals and be part of a diverse community.
The predicted salary is between 40497 - 48149 £ per year.
DescriptionGrade UE07: 40497 to 48149 per annumCollege of Science and Engineering / School of GeoSciencesFull-time: 35 hours per weekFixed-term: 24 month contractThe 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 groups interests including developing their own fellowship / research funding proposals.The salary for this post is 40497 to 48149 per annum. This post will be appointed no higher than UE07.2 which is 41671 which is within a range of 40497 – 48149.Your skills and attributes for success:A PhD (or about to obtain one) in Physical Geography Environmental Science Civil Engineering or a related disciplineExperience 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 datasetsProficient 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 skillsClick to view a copy of the full job description(opens new browser tab)Application InformationPlease ensure you include the following documents in your application:CVCover letterAs a valued member of our team you can expect:A competitive salaryAn exciting positive creative challenging and rewarding place to work.To be part of a diverse and vibrant international communityComprehensive Staff Benefits such as a generous holiday entitlement competitive pension schemes staff discounts and family-friendly initiatives. Check out the full list on ourstaff benefits page(opens in a new tab) and use our reward calculator to discover the total value of your pay and benefitsChampioning equality diversity and inclusionThe University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions actively promoting LGBT equality.Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on ourright to work webpages(opens new browser tab)The University is able to sponsor the employment of international workers in this successful an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Offices English Language requirements and apply for and secure a Skilled Worker Visa.Key dates to noteThe closing date for applications is 5th August 2025.Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.Interviews will be held in late August / early September.Required Experience:IC Key Skills Laboratory Experience,ELISA,Immunoassays,Mammalian Cell Culture,Biochemistry,Cell Biology,Research Experience,Cell Culture,Molecular Biology,Microscopy,Research Laboratory Experience,Western Blot Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 40497 – 48149
Postdoctoral Research Associate in Hydrology employer: Dr Jobs
Contact Detail:
Dr Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate in Hydrology
✨Tip Number 1
Network with professionals in the hydrology and environmental science fields. Attend conferences, webinars, or workshops related to hydropower solutions and machine learning applications. This can help you make valuable connections that might lead to recommendations or insights about the role.
✨Tip Number 2
Familiarise yourself with the SMART-HS project and its objectives. Understanding the specific challenges and goals of the project will allow you to tailor your discussions during interviews, demonstrating your genuine interest and how your skills align with their needs.
✨Tip Number 3
Showcase your programming skills by working on relevant projects or contributing to open-source initiatives. Highlighting your experience with Python or Julia in practical applications can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous research and publications in detail. Be ready to explain how your work relates to the integration of diverse data sources for reservoir inflow forecasting, as this is a key aspect of the role.
We think you need these skills to ace Postdoctoral Research Associate in Hydrology
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in hydrology, machine learning, and programming languages like Python or Julia. Emphasise any research projects or publications that align with the SMART-HS project.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the project. Discuss how your skills and experiences make you a perfect fit for the position, particularly in relation to reservoir inflow forecasting and collaboration with international partners.
Highlight Communication Skills: Given the collaborative nature of the role, emphasise your written and oral communication skills. Provide examples of how you've successfully worked in teams or led scientific writing efforts in previous roles.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A well-presented application reflects your attention to detail and professionalism, which are crucial in academic research roles.
How to prepare for a job interview at Dr Jobs
✨Showcase Your Research Experience
Be prepared to discuss your PhD research in detail, especially any projects related to hydrology or environmental science. Highlight your experience with machine learning and data processing, as these are crucial for the role.
✨Demonstrate Programming Proficiency
Since the position requires experience with programming languages like Python or Julia, be ready to provide examples of how you've used these skills in past projects. Consider discussing specific algorithms or techniques you've implemented.
✨Prepare for Collaborative Questions
Given the collaborative nature of the SMART-HS project, think about your past teamwork experiences. Be ready to share examples of how you've successfully worked with diverse teams, particularly in international settings.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice explaining complex concepts in a clear and concise manner, as you may need to present your ideas to both technical and non-technical audiences during the interview.