[ABE-L] Fwd: divulgar oferta de PhD

[Associação Estatística]

2 PhD student positions in Machine Learning for Geosciences

We are searching for outstanding candidates with a strong interest in
machine learning and geosciences to cover 2 PhD student positions to join
the Image and Signal Processing (ISP) group in the *Universitat de
Valencia, Spain,* http://isp.uv.es. The positions are funded by an ERC
Consolidator Grant 2015-2020 entitled "Statistical Learning for Earth
Observation Data Analysis" (SEDAL), http://sedalproject.wordpress.com,
under the direction of* Prof. Gustau Camps-Valls*. More info about the
openings in http://isp.uv.es/sedal.pdf

*** The project and job description

We aim to develop the next generation of statistical inference methods to
analyze Earth Observation (EO) data. Machine learning models have helped to
monitor land, oceans, and atmosphere through the analysis and estimation of
climate and biophysical parameters. Current approaches, however, cannot
deal efficiently with the particular characteristics of remote sensing
data. We will develop advanced regression (retrieval, model inversion)
methods to improve efficiency, prediction accuracy and uncertainties,
encode physical knowledge about the problem, attain self-explanatory
models, learn graphical causal models to explain the complex interactions
between essential climate variables and observations, and discover hidden
essential drivers and confounding factors in Climate/Geo Sciences.

Highly motivated researchers with a degree/PhD in computer science,
statistics, machine learning, electrical engineering, physics, or
mathematics are encouraged to apply. All candidates should have a solid
understanding and knowledge of machine learning and statistics, and being
particularly interested in remote sensing and geoscience problems. The
theses will be devoted to:

*(PhD1) regression, model inversion and time series analysis, and*

*(PhD2) structure learning, graphical models and causal inference*.

In both cases, good programming skills (Matlab/Python/R/C++), a critical
and organized sense for data analysis, as well as maturity and commitment,
strong communication, presentation and writing skills are a big plus.

*** Application details

- *Deadline: Send your application no later than **June 1st 2016.*
- How? Send me: 2-pages CV, motivation letter, 3 best papers, 3
recommendation letters or contacts
- When? Preferred starting dates: September 2016
- How long? 3 years contract
- How much? Salary according to UV scales including social security, health
insurance benefits, and travel money
- Where? Valencia, Spain, Mediterranean city, nice weather, hike and beach.
Excellent cost-of-living index = 55

*** Contact

- Before applying: Informal inquiries may be addressed to Prof. Dr. Gustau
Camps-Valls, gustau.camps em uv.es
- Ready to apply? Send your dossier in one single PDF to gustau.camps em uv.es,
subject: SEDAL application



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Luana Takahashi
Secretária ABE
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