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PhD position in reinforcement learning of agents in 3D environments at the Computational Science Group.

Job Description

The candidate is expected to develop new methods for efficiently achieving tasks/goals in a 3D environment by interacting with it via actions and observations.

Skills and Experience

The candidate will preferably have a profile in physics, computer science, mathematics, chemistry and engineering or related areas. We seek exceptional candidates with a passion , the capability to think out of the box, the ambition to work in very innovative projects and very good communication skills in English. Also we require;

Very good programming skills in Python

Experience on a machine learning framework like Pytorch or Tensorflow

Previous experience with reinforcement learning

Project and Institution that finance the contract:

The work is supported by grant: AEI-BIO2017-82628-P (FEDER/UE) FABRITIIS from the Spanish Ministry of Economy (MINECO), FEDER and Agencia Estatal de Investigación sources.

Official number reference:

AEI-BIO2017-82628-P (Aplicación de métodos de aprendizaje automático y de aumento de datos en el estudio de la conformación proteica y el reconocimiento molecular para el desarrollo de fármacos).

Benefits of the opening:

The successful candidate will be offered a full time contract, with an annual gross salary  around  19-20.000 EUR, commensurable with experience, with the possibility for an extension. Very good computational infrastructure.

Information on the application process:

Send CV and letter of interest, to (REF: GdF_PN )

Deadline to submit applications: November 10th 2019

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