IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
Log On
About IAHRDirectoryCommitteesMy IAHRNews & JournalseLibraryeShopEventsJoin IAHRWorld CongressDonate
spacer.gif
You are here : Home : News List
Go Back...

PhD  Research  Position  in  Using  Remote  Sensing  Data  for  Coastal  Processes  and  Morphology, Belgium
Reference: PhD‐HYST 0817.11  
Organization: Vrije Universiteit Brussel, Brussels, Belgium ( www.vub.ac.be )    
              Université catholique de Louvain (UCL) ( http://www.uclouvain.be/elie )  
Length of contract: 1 year (renewable, up to 3 years based on annual evaluation)

Research description:  
The Department of Hydrology and Hydraulic Engineering of the Vrije Universiteit Brussel (VUB) and the Earth & Life  Institute of the Université catholique de Louvain (UCL) invite applications for a PhD position to work on applying  Remote  Sensing  data  for  coastal  processes  and  morphology  starting  immediately.  The  successful  candidate  will participate in a research project, “RS4MoDy ‐ Remote sensing data for investigating the morphodynamics of the  Belgian  multi‐barred  macro‐tidal  beach’”,  funded  by  the Belgian  Science  Policy  Office  (BELSPO)  and  work  in  a  multidisciplinary team‐working environment.

In macro‐tidal coastal settings such as the Belgian coast, beaches are commonly characterized by multiple intertidal  bars which play an important role in protecting the subaerial beach from storm erosion by reducing wave energy at  the coast. This research project is to investigate the morphodynamics of macro‐tidal barred beach from short (storm  event) to long‐term (>25‐years), and to address the relative roles of meteorological‐marine forcing factors in driving  bar behaviour and evolution. The main objectives are: (1) to analyze historical and contemporary (up to 20 years)  coastal morphology using a broad range of remote sensing data (e.g. LiDAR, aerial images, UAV surveys); (2) to  investigate meteo‐marine forcing and response parameters; (3) to analyze and model how the intertidal bars are  structured in space and time based on a statistical analysis; (4) to develop a conceptual model of barred beach  morphodynamics incorporating external forcing factors.  

Required qualifications:  The candidate holds a master degree in Physical Geography, Oceanography, Earth System Science, Engineering, or  related fields. Additional background in coastal geomorphology and hydrodynamic studies as well as remote sensing  processing will be an asset. Experience of appropriate data analysis and modeling software (e.g. MATLAB) is essential  to the position. The candidate shall be able to carry out research investigation independently, and willing to work in a  multidisciplinary  team.  He/she  should  be proficient  in  English,  have  excellent  scientific  writing,  planning  and  communication skills, and be an enthusiastic team player.

To apply:   The position is available. To ensure full consideration, interested individuals should send your application including (1)  motivation  letter;  (2)  curriculum  vitae;  (3) study  transcript  of  your  latest  degree;  and  (4)  names  and  contact  information for three referees. Review of applications is ongoing and continues until the position is filled. Direct  application and enquiries should be sent via email to Prof. Dr. Margaret Chen  (Margaret.Chen@vub.ac.be) and  Prof. Dr. Patrick Bogaert ( patrick.bogaert@uclouvain.be ) with subject heading “PhD‐HYST 0817.11”. 

Join IAHR
IAHR Media Library
EVENTS
01 January 2020 - 30 December 2020
14th International Conference on Hydroinformatics
18 January 2020 - 18 December 2020
30th IAHR Symposium on Hydraulic Machinery and Systems
17 August 2020 - 19 August 2020
8th International Conference on Flood Management (ICFM)
See all Events
LinkedIN
Twitter