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Today's Topics:
1. 2 PhD student positions in Machine Learning for Geosciences
[ERC project] (Gustau Camps-Valls)
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Message: 1
Date: Sat, 21 May 2016 16:35:57 +0200
From: Gustau Camps-Valls <Gustau.Camps@uv.es>
To: Met-jobs@lists.reading.ac.uk
Cc: "gcamps@uv.es" <Gustau.Camps@uv.es>
Subject: [Met-jobs] 2 PhD student positions in Machine Learning for
Geosciences [ERC project]
Message-ID: <6u2tb5qjxqoiqqlba671ypiw.1463841357896@email.android.com>
Content-Type: text/plain; charset="utf-8"
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2 PhD student positions in Machine Learning for Geosciences [ERC project]
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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@uv.es
- Ready to apply? Send your dossier in one single PDF to gustau.camps@uv.es, subject: SEDAL application
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Prof. Gustau Camps-Valls
Image and Signal Processing Group (ISP)
Image Processing Laboratory (IPL)
Office: 3.2.4
Parc Científic - Campus de Paterna
Universitat de València
C/ Catedrático José Beltrán, 2
46980 Paterna, València. Spain.
Tlf: +34 963 544 064
Fax: +34 963 543 261
http://isp.uv.es
http://www.uv.es/gcamps
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