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PhD in FAST4NL Project

Research / Academic
Delft

Description:

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 the first PhD 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.

You will work together with the other PhD, who will focuss on radar processing and related topics.  We are only seeking applications for PhD 1.

For more information about the project as a whole and the four WPs, we refer to www.fast4nl.nl/    

Requirements:

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:

• MSc degree in mathematics;

• Knowledge of data assimilation, stochastic processes, probability theory, statistics, and system and control;

• Strong affinity with numerical modelling.

 

 

Salary Benefits:

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.

 

Work Hours:

38 - 40 hours per week

Address:

Mekelweg 2