How can we effectively train PhD students both across different knowledge domains in hydrology and water resource engineering, as well as in computer science? To address this issue, the Water Informatics in Science and Engineering Centre for Doctoral Training (WISE CDT) offers a postgraduate programme that fosters enhanced levels of innovation and collaboration by training a cohort of engineers and scientists at the boundary of water informatics, science and engineering.
How can we effectively train PhD students both across different knowledge domains in hydrology...
Received: 15 Sep 2020 – Accepted for review: 29 Sep 2020 – Discussion started: 05 Oct 2020
Abstract. The Water Informatics in Science and Engineering Centre for Doctoral Training (WISE CDT) offers a postgraduate programme that fosters enhanced levels of innovation and collaboration by training a cohort of engineers and scientists at the boundary of water informatics, science and engineering. The WISE CDT was established in 2014 with funding from the UK Engineering and Physical Sciences Research Council (EPSRC) amongst the Universities of Bath, Bristol, Cardiff and Exeter. The WISE CDT will ultimately graduate over 70 PhD candidates trained in a non-traditional UK doctoral programme that integrates teaching and research elements, focuses on cohort-based education and equips the students with a wide range of skills developed through workshops and other activities to maximise their abilities and experience. We discuss the need for, the structure and results of the WISE CDT, which has been ongoing for 6 years. We conclude with an outlook for PhD training, based on our experience with this programme.
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How can we effectively train PhD students both across different knowledge domains in hydrology and water resource engineering, as well as in computer science? To address this issue, the Water Informatics in Science and Engineering Centre for Doctoral Training (WISE CDT) offers a postgraduate programme that fosters enhanced levels of innovation and collaboration by training a cohort of engineers and scientists at the boundary of water informatics, science and engineering.
How can we effectively train PhD students both across different knowledge domains in hydrology...