[Job-offers-cs] Postdoctoral positions at KAUST and RWTH

[Pekka Orponen]

-------- Forwarded Message --------
Subject: [SIAM-OPT] Postdoctoral positions at KAUST and RWTH
Date: Fri, 10 Jan 2020 09:38:01 +0000
From: Raul F. Tempone <raul.tempone at kaust.edu.sa>
To: Pekka Orponen <pekka.orponen at aalto.fi>
CC: Optimization SIAG mailing list <siam-opt at siam.org>

Several Postdoctoral positions are currently available at KAUST and RWTH 
for a collaborative project involving KTH and EPFL, with a starting date 
of April 1, 2020. The candidates will be involved in the three-year 
project “High Dimensional Hierarchical Optimization methods for Machine 
Learning and Stochastic Optimal Control”.

Background or expertise in one or more of the following areas will be 
considered when selecting candidates: Machine Learning, Neural Networks, 
Numerical solutions of PDEs and SDEs, Numerical Optimization, 
Uncertainty quantification, Approximation Theory, Applied Probability 
and Bayesian statistics, Optimal Control and Dynamic Programming.

Strong interpersonal qualities from the candidates will be appreciated 
as they will be working in a highly collaborative project and will be 
expected to spend part of the time at the collaborating institutions.

Qualifications: A successful candidate has completed a PhD preferably in 
the field of applied mathematics or computational engineering, or in any 
field related to one or more of the aforementioned areas of research. 
Excellent analytical, computational and programming skills are expected. 
See also: https://stochastic_numerics.kaust.edu.sa/Pages/JoinUs.aspx

Interested applicants should send their application to stochnum at kaust.edu.sa

The positions will remain open until filled, but the candidate is 
expected to join the team on April 1, 2020, or as soon as possible.