[ES_JOBS_NET] PhD position in deep learning-aided glacier modelling at UNIL, Switzerland

[Guillaume Jouvet]

Dear Colleagues,

We have an open PhD position available at the Institute of earth surface 
dynamics of the Faculty of geosciences and environment of the University 
of Lausanne (UNIL), Switzerland.

*Project Description: *Physical glacier modelling has become an 
efficient and necessary tool to predict the future evolution of glaciers 
and the resulting sea-level rise under climate change scenarios, or to 
reconstruct Quaternary glaciations worldwide. However, high 
computational expenses associated with the modelling of complex physical 
processes (i.e. the ice dynamics) strongly limit the potential of these 
models -- especially in view of long time scales paleo applications. In 
recent years, deep-learning surrogate models have shown outstanding 
results at speeding-up physical models -- including glacial processes -- 
opening new perspectives for applications that are unreachable with 
traditional modelling.

*Goal of the Thesis:* i) to develop the Instructed Glacier Model (IGM, 
https://github.com/jouvetg/igm) – a newly introduced glacier model 
accelerated by deep-learning – by embedding new relevant physical 
processes in form of neural networks trained from data and/or 
state-of-the-art physical models and ii) to apply the improved model to 
the reconstruction of glacier extent, landscape and climate evolution in 
the European Alps during the last glacial cycles. The research involves 
a large diversity of fields including glaciology, physical and numerical 
modelling, machine learning, climatology, and geomorphology. The 
successful candidate will join the ICE (https://wp.unil.ch/ice/) group 
in the Institute of Earth Surface Dynamics which specializes in 
paleoenvironment and landscape evolution in a range of different 
environmental settings.

*Candidate Profile: *The chosen candidate will have a master degree 
either in Earth sciences, geophysics, physics, applied mathematics, 
machine learning, computer sciences, or a related field, and should have 
a sharp interest in the modelling of geophysical processes. Previous 
experience in machine learning, numerical modelling, and Python 
programming is an asset. Good writing and communication skills in 
English as well as the motivation to fruitfully collaborate within an 
interdisciplinary framework are essential. Knowledge in French language 
is preferable but not necessary.

*Job description:***The majority of the workload will be dedicated to 
the completion of the Ph.D. thesis, which includes model development, 
paleo glacier modelling applications, and the writing of peer-reviewed 
publications. Participation in internal and international meetings and 
conferences is expected, as well as the active participation in the 
research institute. A component of the workload will consist in 
assisting with teaching and research duties: teaching activities under 
the supervision of a professor, research work not directly related to 
the personal PhD topic, technical and administrative tasks related to 
the activities of the Institute.

*Contact for further information: *Prof. Guillaume Jouvet 
(guillaume.jouvet at unil.ch)

The full job description (entitled "Graduate Assistant in deep 
learning-aided glacier modelling" -- ID: 19184) can be found here: 
https://career5.successfactors.eu/career?career%5fns=job%5flisting&company=universitdP&navBarLevel=JOB%5fSEARCH&rcm%5fsite%5flocale=en%5fUS&career_job_req_id=19184&selected_lang=en_US&jobAlertController_jobAlertId=&jobAlertController_jobAlertName=&browserTimeZone=Europe/Zurich&_s.crb=yIvxSBQs%2bkpJEU1X4gyBhx6H60O6OKV%2fQFehn7pkJd0%3d 
<https://career5.successfactors.eu/career?career%5fns=job%5flisting&company=universitdP&navBarLevel=JOB%5fSEARCH&rcm%5fsite%5flocale=en%5fUS&career_job_req_id=19184&selected_lang=en_US&jobAlertController_jobAlertId=&jobAlertController_jobAlertName=&browserTimeZone=Europe/Zurich&_s.crb=yIvxSBQs%2bkpJEU1X4gyBhx6H60O6OKV%2fQFehn7pkJd0%3d>

Approx. annual salary of CHF 50’000

Only complete applications made through this website will be considered. 
Review of applications will start on 14 March 2021, and will continue 
until the position is filled.

Best regards

Guillaume Jouvet
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