[Jobinfo] Fwd: [Members] [General] New PhD Student Position in Machine Learning for Fluid Simulation

-------- Forwarded Message --------
Subject: 	[Members] [General] New PhD Student Position in Machine 
Learning for Fluid Simulation
Date: 	Thu, 23 Feb 2017 09:19:39 +0100
From: 	eurographics@eg.org
To: 	general@eg.org



New PhD Student Position in Machine Learning for Fluid Simulation

Within the scope of the Doctoral Programme (“Doktoratskolleg”)

Computational Interdisciplinary Modelling (DK-CIM) of the University

of Innsbruck, the Interactive Graphics and Simulation Group and the

Unit of Environmental Engineering invite applications for the position

of a PhD student, focusing on the acceleration of solvers for

Navier-Stokes equations via machine learning techniques.

We are seeking a motivated and talented PhD student with interest and

skill in physically-based simulation, fluid simulation, data-driven

approaches, and/or machine learning techniques. The main focus will be

on the development of data-driven machine learning methods for

accelerating computations in physically-based simulations. The main

application domain will be the simulation of fluids in environmental

engineering scenarios such as flows in hydraulic networks and

structures as well as surface flows. Of special interest will be

(particle based) semi-Lagrangian solutions, fluid-solid boundaries,

mesh adaptivity, as well as learning correction methods. A further

target will be the tracking and characterizing of the simulation

error, also via machine learning.

The work will be jointly supervised by Prof. Wolfgang Rauch, head of

the Unit of Environmental Engineering and Prof. Matthias Harders, head

of the Interactive Graphics and Simulation Group.

Candidates should have earned a Master or Diploma degree in either

Computer Science, Environmental Engineering, Physics, Applied

Mathematics or other related fields. Good knowledge in

physically-based simulation is expected.

In addition, some experience with machine learning methods is of

advantage.

Further, knowledge of domain-specific applied fluid simulation is also

a plus. Experience and knowledge in C/C++ programming is expected, as

well as a good level in English, both written and spoken.

The position is open immediately until filled. It is offered on the

level of a nonpermanent university research student for three years at

a 75% rate (i.e. 30 hours per week). Successful candidates will become

employees of the University of Innsbruck with full social security

coverage under Austrian national law. The gross salary for the

position will be about

2.048,30 EUR/month (14x).

PhD level studies will be carried out according to DK-CIM regulations.

Note that a final doctoral degree would be possible either in Computer

Science or in Engineering. The Doctoral Programme is committed to

increasing the percentage of female employees in science and therefore

explicitly invites women to apply.

Candidates should send electronically in PDF format an application

with complete CV, grades and transcripts, relevant certificates, and

URLs to relevant prior publications via email to the Research Area

Scientific Computing (scientificcomputing@uibk.ac.at).

https://www.uibk.ac.at/dk-cim/students-neu/students-info.html.en

For further questions, please get in touch with:

Prof. Dr. Matthias Harders

Interactive Graphics and Simulation Group Department of Computer

Science University of Innsbruck Austria

matthias.harders@uibk.ac.at

http://igs.uibk.ac.at/

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