PhD Vacancy in Coastal Dynamics
Turki Imen
Dear Coastal-list members
We have a 3-year PhD vacancy in Developing innovative models for estimating the Response of coastal systems to Climate Change: Re-cote2C
PhD hosted by: Rouen Normandy University; Ecole des Ponts ParisTech, University of Brest, CEREMA
General Context and Job Description
Coastal zones are considered among the most vulnerable environments to the effects of anthropogenic impact and climate change, and are defined as multi-hazard and multi-risk zones (e.g., shoreline erosion, marine submersion, ecosystem quality, …). The response of these systems to climate drivers is very complex, and the prediction of their evolution at seasonal to interannual and decadal timescales remains a significant challenge (Safak et al. 2017).
Indeed, they are continuously changing due to the interactions between a wide range of governing processes acting at different spatial and temporal scales. Addressing the different scales is a major challenge to improving our understanding of the physical mechanisms causing coastal evolution, and it requires the development of reliable and accurate approaches integrating: (i) different physical processes (e.g., cross-shore, longshore, sea level changes) and (ii) multisensory observations to reduce model uncertainties.
In the last decade, several approaches have been developed for evaluating the impacts of climate change on coastal evolution from simple trends to complex models. While the latter may not be efficient for large spatial scales and temporal scales longer than months, the implementation of equilibrium-based or reduced complexity coastal evolution models is likely an adequate approach to estimate accurately the multi-timescale evolution (e.g., Hunt et al. 2023).
In this context, the main challenges of the proposed PhD project consist in developing and combining a series of innovative models for improving the prediction of the multi-timescale shoreline evolution for the next decades in the global context of climate change. The development of such models will extend from previous works on equilibrium/reduced-complexity models (Yates et al., 2009; Chataigner et al., 2021) by addressing in particular the following points: i) incorporating the physical complexities induced by the retroactive (or memory) effects of shoreline response (Turki et al., 2012; Turki et al., 2015) ; ii) evaluating the uncertainties of the model, and in particular the sensitivity of the model to the forcing conditions and calibration coefficients using a Bayesian approach, and then applying a data assimilation method to reduce these uncertainties using a machine/deep learning approach..
Re-cote2C is proposed within the French research program EvolPlage, developed by the Ecole des Ponts ParisTech, University of Brest, Rouen Normandy University and CEREMA. This program aims to investigate new tools to better estimate the response of the shoreline to changes in sea level and external climatic/meteorological factors to overcome the limitations of existing approaches.
Requirements
We are looking for a candidate with:
• Master of Science (MSc) in Coastal Engineering, Maritime Engineering, Marine Geosciences, Physical Oceanography or any other related field with coastal dynamics.
• skills in applying numerical modelling for ocean and coastal areas;
• extensive knowledge in exploiting and managing large datasets;
• strong data analysis skills (in-situ measurements, remote sensing, …);
• willingness to apply innovative techniques and to acquire new skills for applying data assimilation methods;
• good oral and written communication skills in English;
• strong problem-solving abilities for complex issues in coastal areas
• an affinity for AI is a plus
• experience in setting up databases is a plus
• the ability to work in a collaborative, multidisciplinary environment both with scientific partners from national and international organisms.
This PhD project requires a candidate who is able to communicate and interact well with external partners, report the scientific results and write scientific articles and a final thesis.
Conditions of employment
The PhD candidate will work in the M2C laboratory at the Rouen Normandy University, in an inspiring research environment with an excellent team of supervisors and academic staff.
The Normandy School provides an advanced program aiming at developing transferable, discipline-related and research skills through a series of courses and training activities with a multi-disciplinary vision.
Additional Information
For more information about this PhD, please contact
Emma Imen Turki (imen....@univ-rouen.fr)
Marissa Yates (mariss...@enpc.fr)
Nicolas Le Dantec (nicolas....@univ-brest.fr)
Vanessya Laborie (Vanessya...@cerema.fr)
Application procedure
Are you interested in this PhD?
Please apply before 15 May 2024 by sending your:
(1) Extended CV; (2) Motivation letter; (3) The name to two academic referees; a recommendation letter (if it’s possible); (4) Other documents related to previous internships and professional experiences
Thank you for sharing this offer to master students and interested candidates !
Best Regards
E. Imen TURKI
Turki Imen
Dear Coastal-list members
We have a 3-year PhD vacancy in Monitoring of the hyro-morphodynamic changes in intertidal mudflats: case of the Seine Estuary, France
PhD hosted by: Rouen Normandy University; Nantes University
General Context and Job Description
The M2C laboratory's research focuses on characterizing and modeling the dynamics of natural processes and the various compartments along the land-sea continuum at different scales of time and space. We offer a phD thesis as part of a project in collaboration with the GIP-Seine-aval (https://www.seine-aval.fr/projet/suiva/). The aim of this thesis is to determine the patterns of temporal and spatial variations in sediment on the intertidal mudflats of the Seine estuary as a function of hydrodynamic forcing. The PhD student will have at his disposal a range of in situ measurements in order to develop a multisensor and multiscale approach combining satellite images (Pleiade, Sentinel), drone imagery, fixed-point camera imagery and in situ measurements, as well as machine learning tools for data processing. These approaches will make it possible to understand the hydro-sedimentary responses to energy events, including through numerical modelling. Finally, the PhD student should be able to share his results for the biological approaches developed in the project by the University of Nantes (microphytobenthos dynamics)..
Requirements
We are looking for a candidate with:
o We are looking for a candidate with:
o Master of Science (MSc) in Fluid Mechanics, Coastal-estuarine dynamics, Maritime Engineering, Marine Geosciences or any other related field with a strong component related to remote sensing and sedimentology
o Experience with in-situ measurements and field activities;
o Excellent knowledges in remote sensing, spaceborne and airborne missions
o extensive knowledge in exploiting and managing large datasets;
o strong data analysis skills
o willingness to apply innovative techniques AI (machine: deep learning)
o good oral and written communication skills in English;
o strong problem-solving abilities for complex issues in coastal and estuarine areas
o experience in setting up databases is a plus
o the ability to work in a collaborative, multidisciplinary environment both with scientific partners from national and international organisms.
o This PhD project requires a candidate who is able to communicate and interact well with external partners, report the scientific results and write scientific articles and a final thesis.
This PhD project requires a candidate who is able to communicate and interact well with external partners, report the scientific results and write scientific articles and a final thesis.
Conditions of employment
The PhD candidate will work in the M2C laboratory at the Rouen Normandy University, in an inspiring research environment with an excellent team of supervisors and academic staff.
The Normandy School provides an advanced program aiming at developing transferable, discipline-related and research skills through a series of courses and training activities with a multi-disciplinary vision.
Additional Information
For more information about this PhD, please contact
Emma Imen Turki (imen....@univ-rouen.fr)
Julien Deloffre (julien....@univ-rouen.fr)
Application procedure
Are you interested in this PhD?
Please apply before 15 Jun 2024 by sending your:
(1) Extended CV; (2) Motivation letter; (3) The name to two academic referees; a recommendation letter (if it’s possible); (4) Other documents related to previous internships and professional experiences
Thank you for sharing this offer to master students and interested candidates !
Best Regards
E. Imen TURKI
Turki Imen
Dear Coastal_list members
We are happy to share our Special Issue (SI) in JMSE Journal:
Assessment of
Multi-scale Coastal Evolution in a Changing Climate: from Observation to
Modelling
Fore more details, please have a look on the following link
https://lnkd.in/e2SC5MWD
We kindly invite the submissions of reviews and original researches in this
field. Your contributions are very welcome. This SI is open until Jan 2025
Thank you for sharing this SI with interested persons.
E. Imen Turki
M. Yates
C. Jaramillo
N. Le Dantec