BECAS | 7 becas de Máster en Instituto de Ciencias Matemáticas, CSIC
15 June 2021CONGRESO | 4th Annual Meeting CINBIO
16 June 2021BECAS | 7 becas de Máster en Instituto de Ciencias Matemáticas, CSIC
15 June 2021CONGRESO | 4th Annual Meeting CINBIO
16 June 2021
The Deusto Institute of Technology (DeustoTech)
(DEUSTOTECH) from the University of Deusto (Bilbao,
Spain) is looking for a full-time post-doctoral researcher. The position
is offered in the frame of a Horizon 2020 project. The contract will
have a duration of 3 years under a regular employment contract with full
social security coverage.
*JOB DESCRIPTION*
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*
*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.
*APPLICATION PROCESS*
Please, use this link to apply for the position:
Apply for Post-doctoral researcher in Artificial Intelligence