Seven Position Open for Research Associate on Water,Energy and Environment

Research Associate at The University of Newcastle, Australia

This position will be offered as a level A, 3-year, fixed-term contract. The remuneration range is from $95,918 to $102,962 plus 17 % superannuation and leave loading. On site. The last date of application is 13th Nov 2023. Minimum requirement PhD in Chemical Engineering(preferred) with expertise in Computational Fluid Dynamics.

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Research Associate in Sewer and Water Supply System Performance in Sheffield, UK

This post is fixed-term for 24 months with a proposed start date of 1st March 2022 and an end date of 29th Feb 2024.

This is an exciting opportunity for a Post-Doctoral Research Associate to conduct world leading research into asset deterioration and system performance that will enhance the future resilience of sewer and water supply networks. The selected candidate should be educated to PhD level or have equivalent experience, have strong analytical and computational skills and be able to work in a busy laboratory environment.

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Research Associate in Carbon balance in Hamburg Germany

This position is fixed for a period of three years with the last date of application being 15 December 2023. Part-time work of 65 % of standard work hours per week. The responsibilities include academic services in the project named “Estimating effects of microbial functional diversity on marsh ecosystem carbon balance”.

Research associates may also pursue independent research and further academic qualifications.

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Postdoctoral fellow Hydro-informatics in Brussels, Belgium

The Faculty of Engineering, Department Hydrologie en waterbouwkunde, seeks a postdoctoral researcher with a grant to validate doctoral research, including managing open data, supercomputing, developing Internet-of-Things sensor technologies, applying Artificial Intelligence, and co-supervising different doctoral students. Must have a Ph.D. in Computer Sciences with a strong interest in water and climate research or a Ph.D. in the domain of Water and Climate with strong computer skills. The last date of application is 1st Dec 2023

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Post Doctoral Researcher in Research and Development Center for Earthquake and Tsunami Forecasting (FEAT), Japan

JAMSTEC aims to advance academic research and marine science and technology by conducting fundamental research and developing ocean-related activities for peace and human welfare. Post PhD students can apply for this Full-time job latest by December 11, 2023.

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Indian Government Approves INR 12,461 Cr Support for 31,350 MW Hydro Electric Projects The Indian government has recently approved a budgetary support of INR 12,461 crore to facilitate the development of 31,350 MW of Hydroelectric projects, aiming to boost the hydro power sector by providing funding for necessary infrastructure development like roads and bridges in remote locations where these projects are often situated; this scheme will run from FY 2024-25 to FY 2031-32 Click here to learn more. "The U.S. Department of Energy (DOE) announced nearly $16.7 million for 25 small business-led hydropower and marine energy projects..." The US Department of Energy has allocated $16.7 million for 25 small business-led hydropower and marine energy projects through the Small Business Innovation Research and Small Business Technology Transfer programs. The projects, focusing on hydropower and marine energy, aim to advance water power technologies, balancing electricity grids with rene...

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Most hydrological variables are strongly time‑dependent. River discharge, groundwater level, rainfall, evapotranspiration, even reservoir storage – all of these change over hours, days, seasons, and years. Capturing this temporal behaviour accurately is at the heart of modern water resources modelling and management. Artificial Neural Networks (ANNs) have emerged as a powerful tool for dealing with such time‑dependent problems. They are data‑driven, flexible, and capable of learning complex nonlinear relationships that are often difficult to express analytically. Even though the exact theoretical relationship between time dependence in hydrological variables and neural network architecture is still an open research question, experience shows that ANNs can deliver more accurate predictions than many traditional hydrological models in a wide range of applications. This post outlines a practical methodology for applying neural networks to develop hydrological prediction models, especially...

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