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.