Multiple postdoc and research engineer positions available at AutoML Freiburg

In the context of Frank Hutter's ERC grant on automated deep learning and several other grants for basic research, there are multiple positions open for outstanding postdocs, as well as outstanding research engineers, in AutoML in Freiburg, Germany. Starting dates are flexible, but the application deadline is March 15th.

The funding for these positions is for *basic research* on AutoML -- pure methods development without the need for any particular application. Our focus is on automated deep learning, neural architecture search, efficient hyperparameter optimization, learning to learn, and AutoML in general, and we have a track record of developing widely-used open-source tools, such as Auto-sklearn (https://github.com/automl/auto-sklearn).

The salary scale for full-time positions is TV-L E13 to TV-L E14, with a monthly gross salary between 4000 EUR and 4600 EUR, depending on experience and previous position. Please see the full job posting at https://www.automl.org/jobs-at-ml-freiburg/ for details.
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PhD scholarship (applications of Artificial Intelligence and Robust Optimization)

Apologies for any double posting. We are looking for applications for a PhD scholarships in a multidisciplinary topic (OR+Finance).

Kind regards,

Belen

Baillie Gifford PhD in Financial Technology Scholarship (applications of Artificial Intelligence and Robust Optimization)

the University of Edinburgh Business School is now accepting applications for a funded 4-year Ph.D. in Financial Technology, specifically around the theme of environmental risks in supply chain networks.

The selected student will collaborate on a project that will study how environmental risks affect supply chain networks and how firms can best adapt their supply chain to protect it against those risks. Specifically, it will combine Artificial Intelligence and Robust Optimisation techniques to study the effects of environmental risks on the supply chain networks and suggest alterations that can make supply chains less vulnerable to environmental shocks and climate change.

Application: Please follow the link below for details on the online application and the PhD curriculum. Applications must be completed by Friday 5 April 2020 to be reviewed for admission.

https://www.business-school.ed.ac.uk/scholarships/baillie-gifford-fintech

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

Información do Proxecto



Ficha no disponible

Concurso Público para la adjudicación de un contrato de Profesor Ayudante Doctor para el curso 2019-2020: 1 plaza en el Área de Estadística e Investigación Operativa, Universidad Complutense de Madrid.

La Resolución de 20-11-2019, de la Universidad Complutense de Madrid, por la que se convoca Concurso Público para la adjudicación de 1 contrato de Profesor Ayudante Doctor para el curso 2019-2020, ha sido publicada en el Boletín Oficial de la Universidad Complutense de 25-11-2019.

https://bouc.ucm.es/pdf/3477.pdf

Dicha resolución contiene la oferta:

CÓDIGO: 2011/PAD/003
DEDICACIÓN: TIEMPO COMPLETO
ÁMBITO: ESTADÍSTICA E INVESTIGACIÓN OPERATIVA
DEPARTAMENTO: ESTADÍSTICA E INVESTIGACIÓN OPERATIVA
PERFIL: DOCENCIA PROPIA DEL ÁREA
PLAZAS: 1
CENTRO: FACULTAD DE MATEMATICAS (UCM)

El plazo de presentación de solicitudes será de quince días hábiles a partir del día siguiente a la publicación de esta convocatoria en el Boletín Oficial de la Universidad Complutense (25-11-2019).

Publicacións derivadas das teses


Atopáronse 1228 rexistros.

1) Aneiros Pérez, German, Vilar Fernández, Juan Manuel, Cao, R., Muñoz-San-Roque, A. (To appear). "Functional prediction for the residual demand in electricity spot markets". In: IEEE Transactions on Power Systems. Google Scholar

2) Boente, G., Pardo Fernández, Juan Carlos (To appear). "Testing for superiority between two variance functions". In: Statistics and Probability Letters. Vol. 156. pp. 108612. Google Scholar

3) Meilán-Vila, A., Fernández-Casal, R., Crujeiras, R.M., Francisco-Fernández, M. (To appear). A computational validation for nonparametric assessment of spatial trends. In: Computational Statistics Google Scholar

4) Meilán-Vila, A., Francisco-Fernández, M., Crujeiras, R.M. (To appear). Goodness-of-fit tests for multiple regression with circular response. In: Journal of Statistical Computation and SimulationTaylor and Francis. Google Scholar

5) Martínez Santalla, S., Martín Devasa, R. M., Gómez-Rodríguez, Carola, Crujeiras, R.M., Baselga, Andrés (To appear). Assessing the non-linear decay of community similarity: permutation and site-block resampling significance tests. In: Journal of Biogeography Google Scholar

6) Martín Devasa, R. M., Gómez-Rodríguez, Carola, Crujeiras, R.M., Baselga, Andrés (To appear). Species range size shapes distance-decay in community similarity . In: Diversity and DistributionsWiley. Google Scholar

7) Giráldez Suárez, P., Crujeiras, R.M., Fernández, J. Ángel, Aboal-Viñas, J.R. (To appear). Establishment of background pollution levels and spatial analysis of moss data on a regional scale. In: Science of the Total Environment Google Scholar

8) Pico-Calvo, A., Nachón, D.J., Vieira-Lanero, R., Barca, S., Cobo, M.C., Crujeiras, R.M., Cobo Gradín, F. (To appear). Application of Machine Learning Methodologies for Unravelling the Philopatry and Dispersal Range of Alosa Species in the Eastern European Atlantic. In: Biology and Life Sciences Forum Google Scholar

9) Almomani, A., Saavedra-Nieves, P., Barreiro, P., Durán, R., Crujeiras, R.M., Loureiro, M., Sánchez-Vila, E, (To appear). "Application of choice models in Tourism Recommender Systems". In: Expert Systems. Google Scholar

10) Martín Devasa, R. M., Martínez Santalla, S., Gómez-Rodríguez, Carola, Crujeiras, R.M., Baselga, Andrés (To appear). Comparing distance-decay parameters: a novel test under pairwise dependence. In: Ecological Informatics Google Scholar