The research group KU Leuven ESAT-STADIUS is currently offering 2
Postdoc (1 year, extendable) positions within the framework of the ERC
(European Research Council) Advanced Grant E-DUALITY
http://www.esat.kuleuven.be/stadius/E (PI: Johan Suykens) on Exploring
Duality for Future Data-driven Modelling.
Within this ERC project E-DUALITY we aim at realizing a powerful and
unifying framework (including e.g. kernel methods, support vector
machines, deep learning, networks, tensor-based models and others) for
handling different system complexity levels, obtaining optimal model
representations and designing efficient algorithms.
The research positions relate to the following possible topics:
-1- Duality principles
-2- Multiple data sources and coupling schemes
-3- Manifold learning and semi-supervised schemes
-4- Optimal prediction schemes
-5- Scalability, on-line updating, interpretation and visualization
-6- Mathematical foundations
-7- Matching model to system characteristics
For further information and on-line applying, see
https://www.kuleuven.be/personeel/jobsite/jobs/60153047
(click EN for English version).
The research group ESAT-STADIUS http://www.esat.kuleuven.be/stadius at
the university KU Leuven Belgium provides an excellent research
environment being active in the broad area of mathematical engineering,
including data-driven modelling, neural networks and machine learning,
nonlinear systems and complex networks, optimization, systems and
control, signal processing, bioinformatics and bio-medicine.
_______________________________________________
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai
