Tools
23/10/2019
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 carina.oliver@upf.edu (REF: GdF_PN )
Deadline to submit applications: November 10th 2019
