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Utrecht University's Faculty of Social and Behavioural Sciences is looking for an Assistant Professor Methodology and Statistics. Are you interested? Then plea…
The Forecast Arctic Surges and Tides for the Netherlands (FAST4NL) project is a joint project of the two TU Delft faculties Electrical Engineering, …
The Forecast Arctic Surges and Tides for the Netherlands (FAST4NL) project is a joint project of the two TU Delft faculties Electrical Engineering, Mathematics and Computer Science (EEMCS) and Civil Engineering and Geosciences (CEG), Deltares, and EOMAP with involvements from scientists of the TU Delft faculty of Aerospace Engineering, the Royal Netherlands Meteorological Institute (KNMI), and the Royal Netherlands Institute for Sea Research (NIOZ). The project aims to quantify the impact of Arctic sea ice decline on future global tidal and storm surge extreme water levels. Key elements of the project are the development of an Arctic total water level (TWL) model and its calibration by radar altimeter-observed TWLs. This calibrated Arctic TWL model will then be used to assess the impact of Arctic sea ice decline on global tides and surges with special focus on the Arctic and the North Sea, and to improve storm surge forecasting in the Netherlands.
The project consists of four work packages (WPs) to be executed by two PhD candidates. These are: 1) The development of the Arctic component of the Global Tide and Surge Model (GTSM); 2) A calibration & validation of the model using SAR altimetry; 3) Forecasting the Arctic Tides and Surges; and 4) Projecting the impact of Arctic sea ice decline on tides and surges. The specific tasks of PhD1 will be to i) add the physics needed to model water level variations in ice-covered seas, ii) develop the data assimilation techniques needed to calibrate the model using altimeter TWLs, iii) use the model to assess the impact of seasonal ice cover variations and sea-ice decline over the period 1980-present. The specific tasks of PhD2 will be to i) include the baroclinic and steric contributions to the water level variations, ii) retrieve the (near real-time) altimeter-observed TWLs in the Arctic waters including their error budget, iii) find observational evidence for the impact assessment conducted by PhD1, iv) assess the impact of sea ice decline on tides in the Artctic, the North Sea and in the Wadden Sea. The global tide and surge projections will be conducted together by PhD1 and PhD2. For more information about the project as a whole and the four WPs, we refer to fast4nl.nl/
Applicants should have the following qualifications:
• Team player;
• Proven programming skills;
• Keen interest in data analytics;
• Good proficiency in spoken and written English.
Specific requirements PhD1:
• MSc degree in mathematics;
• Knowledge of data assimilation, stochastic processes, probability theory, statistics, and system and control;
• Strong affinity with numerical modelling.
Specific requirements PhD2:
• MSc degree in geodesy, Earth Science, or a closely related area;
• Experience in Synthetic Aperture Radar altimetry data processing;
• Knowledge of physical oceanography/experience in numerical flow modelling is beneficial.
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information.
For more information about position PhD1, please contact M. Verlaan (M.Verlaan@tudelft.nl). For PhD2, please contact D. C. Slobbe (D.C.Slobbe@tudelft.nl). To apply, please e-mail a detailed CV, proof of English language proficiency, the abstract of your MSc thesis (one page), two references, your preferred position, and a letter of motivation in a single PDF file by 31 May 2018
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