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Post-doc vacancy on probabilistic programming for coupling digital twins in 
geophysics


The Algorithmics 
group<https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/software-technology/algorithmics/>
 at TU Delft is looking for a 1-year postdoc to explore how probabilistic 
programming can help us sync several simulators of geological processes into a 
coherent whole.


Problem overview

Arguably the most valuable tool one can create from Big Data is a digital twin 
that supports policymakers in understanding and interacting with various 
systems, ranging from industrial products to natural systems. Distilling twins 
of large-scale systems that consist of many interacting subsystems is, however, 
a major challenge. For example, a digital twin of a river estuary needs to 
combine different interacting subsystems (e.g., atmosphere, soil, groundwater, 
waterways, barriers, and coastal waters) and its overall success depends on the 
ability to couple the subsystems with each other and data. Unfortunately, 
naively coupling the existing subsystems into a ‘monster twin’ is 
computationally infeasible. Probabilistic programming may offer a way to avoid 
this by reducing the coupled system to its essence.


Position overview

The postdoctoral researcher will investigate the use of probabilistic 
programming to couple digital twins and simulators. Probabilistic programming 
has witnessed significant success in modelling and inverting scientific 
simulators. Your project will investigate how those techniques can be applied 
to problems when multiple simulators (digital twins) are present.


The position is a joint appointment between the Algorithmics group at the 
Faculty of Electrical Engineering, Computer Science and Mathematics, and the 
Reservoir Engineering Section at the Faculty of Civil Engineering and 
Geosciences. You will be primarily working with Sebastijan Dumancic (at the 
Faculty of Electrical Engineering, Mathematics, and Computer Science) and Femke 
Vossepoel and Rolf Hut (at the Faculty of Civil Engineering and Geosciences)


Requirements

We are looking for a candidate with one of the following profiles:

  *   Background in probabilistic artificial intelligence, and preferably 
probabilistic programming

  *   Background in one or multiple disciplines of geophysics in the broadest 
sense, e.g., hydrology, oceanography, and solid earth, with a strong and 
demonstrable experience with probabilistic methods and/or numerical modelling

We are looking for candidates that have a PhD in one of these areas or are 
going to obtain it soon.


Practicalities


Appointment length: 1 year

Start date: as soon as possible

Salary: € 2.960,00 - € 4.670,00

Application process: send an email to Sebastijan Dumancic 
(s.duman...@tudelft.nl<mailto:s.duman...@tudelft.nl>) with a CV and a short 
motivation

Questions: direct them to Sebastijan Dumancic


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