Two Post-doc positions in Machine Learning for Remote Sensing and Geosciences

We are searching for outstanding postdoc candidates with a strong interest in machine learning and geosciences to cover *two* post-doc positions in the Image and Signal Processing (ISP) group in the Universitat de Valencia, Spain, http://isp.uv.es. The positions are fully funded by an ERC Consolidator Grant 2015-2020 entitled "Statistical Learning for Earth Observation Data Analysis" (SEDAL), http://isp.uv.es/sedal.html, under the direction of Prof. Gustau Camps-Valls.
*** The project and job description
We aim to develop new 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 PhD degree 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/or geoscience problems. The topics are focused on regression, graphical models and causal inference. Good programming skills (Matlab/Python/R/C++), a critical and organized sense for data analysis, as well as commitment, strong communication, presentation and writing skills are a big plus.
*** Application details
- Deadline: Send your application as soon as possible. Positions will be filled as soon as we have the right candidate!
- How? Send me: 2-pages CV, motivation letter, list of papers and one recommendation letter or contact
- Who: PhD in maths, physics, machine learning, or related disciplines. Also, we care about the gender issue!
- When? Preferred starting date: October 2017
- 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-AT-uv.es
- Ready to apply? Send your dossier in one single PDF to gustau.camps-AT-uv.es, subject: "SEDAL application"