[Job-offers-cs] Postdoctoral position – New deep learning approaches for neural stochastic differential equations

[Pekka Orponen]

-------- Forwarded Message --------
Subject: 	[DMANET] Postdoctoral position – New deep learning approaches 
for neural stochastic differential equations
Date: 	Mon, 06 Mar 2023 16:11:40 +0100
From: 	Roberto Santana Hermida <roberto.santana at ehu.eus>
To: 	dmanet at zpr.uni-koeln.de




Hi all,

We are offering a 2-year machine learning postdoc position, full-time 
temporary employment, in the University of the Basque Country, in San 
Sebastian, Spain.

Topic: New deep learning approaches for neural stochastic differential 
equations
Deadline: March 31st
Expected start date: June 30th, 2023.
Job Ad: 
http://www.sc.ehu.es/ccwbayes/members/rsantana/calls/Call_IKUR_NDE_FInal.pdf>
Description:

This project is led in collaboration between researchers of the 
Intelligent Systems Group (ISG) of the University of the Basque Country 
(UPV/EHU) in San Sebastian, Spain and the Graduate Program in 
Computational Sciences of the State University of Rio de Janeiro, 
Brazil. We are looking for a motivated and experienced scientist to fill 
a two-year POST-DOCTORAL position in the scope of the IKUR project: "New 
deep learning approaches for neural stochastic differential equations". 
The location for the position is San Sebastian, Spain.

The project involves the conception of methods for efficient simulation 
of systems of differential equations based on deep learning models. To 
perform the analysis and interpretation of the simulations from a 
physical point of view. To design and implement neural network 
architectures that could help in the study and prediction of phase 
transitions in physical systems driven by stochastic differential equations.


Required Education and Skills:

PhD in Physics, Mathematics, Computer Science or related areas. 
Experience in the field of differential equations, statistical physics, 
or probability and stochastic processes. Familiarity with concepts from 
machine learning, particularly deep learning and neural networks.
Advanced programming skills in scientific computing.

Responsibilities:
The main task of the job is devoted to the development of methods and 
algorithms in machine learning applied to statistical physics problems, 
phase transition analysis and general solutions of differential equations.

Application:

Applicants should submit their Curriculum Vitae (CV), a motivation 
letter and arrange for two letters of reference to be sent on their 
behalf to Dr. Zochil González and Dr. Roberto Santana.
All files required for the application should be sent in PDF format to 
the following email addresses: processo.seletivo.ccomp at ime.uerj.br, 
roberto.santana at ehu.eus, with the subject line “Application – IKUR 
Postdoctoral Fellowship”. The signed letters of reference must be sent 
by each referee in PDF form to the same email address; please ask 
him/her to include the text “Name of the candidate – Letter of 
Reference” in the subject line of the e-mail.

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