Post-doctoral researcher in Artificial Intelligence


  • Location: Bilbao (Spain)
  • Vacancies: 1 o 2

Universidad de Deusto - Investigación

Job description

Posición en castellano

 

Description of the activities to be carried out

We are looking for a post-doctoral researcher with a solid knowledge background in Artificial Intelligence and more specifically in the areas of optimisation using metaheuristics and deep learning. The researcher will perform the following functions:

 

  • Autonomous execution of international, national and regional projects in collaboration with the PI of the project.
  • Modelling and solving optimisation problems using metaheuristic techniques to tackle problems related to the optimisation of transport networks.
  • Modelling and design of Deep Reinforcement Learning techniques for the optimisation of transport networks.
  • Design and development of software modules for deploying optimisation models based on metaheuristics or Deep Reinforcement Learning models in production.
  • Drafting of reports and writing of scientific papers.
  • Support in interaction and communication with the rest of the project partners.
  • Technical and scientific development of research projects and subsequent transfer in your area.
  • Support in the materialisation of project proposals and offers from a scientific-technical point of view.
  • Support in the administrative management of the projects in which he/she is involved.

Requirements

Requirements

General requirements:

  • University degree in computer engineering, telecommunications engineering, computer science, applied mathematics or similar.
  • At least two years of experience as a PhD in areas related to optimisation using metaheuristics and/or application of deep learning techniques.
  • Solid technical and research background, proven through publications in journals indexed in the Journal Citations Report.
  • Solid programming experience in Java and/or Python.
  • Experience in deep learning frameworks such as Tensorflow, Keras, Pytorch, etc.
  • Experience in executing research projects related to the application of Artificial Intelligence techniques.
  • Fluent in English (written and spoken).

It will be also considered as a plus:

  • Experience in the application of Artificial Intelligence techniques in the area of transport and, preferably, in the optimisation of transport networks.
  • Previous experience in the use and application of optimisation techniques based on surrogate models.
  • Previous experience in the use and application of Deep Reinforcement Learning techniques.
  • Previous participation in H2020 and/or FP7 projects.

 

Job closed

  • Location: Bilbao (Spain)
  • Vacancies: 1 o 2