AI Research Engineer - Barcelona
Our Distributed Artificial Intelligence research area is looking for an AI research engineer who is willing to get involved in exciting Research and Innovation projects in the framework of H2020 European programme and national projects.
The suitable candidate will work closely with our experts in cybersecurity and in connected vehicles to deploy the AI potential in theses fields. She/He will work on the following projects:
-PALANTIR is an H2020 European project that seeks to deliver Security as a Service to the small and medium enterprises.
-CARAMEL is another H2020 project that aims to protect autonomous and connected cars from cyberattacks.
-TDA (Advance Digital Technologies) Cybersecurity Challenge that aims to predict user exposure to cyber threats.
-R&D projects in the framework of the Catalan AI strategy
The successful candidate will develop the following tasks:
-Develop scalable data ingestion and filtering pipelines able to collect data from heterogeneous sources, including elements of the physical infrastructure (e.g. routers, switches, compute clusters), application level and system security events as well as virtualised security services running on top of them
-Develop, adapt and apply new deep learning techniques for Anomaly Detection in the traffic of the network and systems.
-Develop, adapt and apply new deep learning techniques for Risk Level Detection in Operational Intelligence management systems.
-Apply adversarial machine learning techniques for security evaluation.
-Travel and participate in the project meeting with the European partners few times a year
-Follow up with the general projects status and deliver the required reports.
Who we are:
i2CAT Foundation is a non-profit research and innovation centre that promotes mission oriented R&D activities on advanced Internet architectures, applications and services. The centre stands for a new open innovation framework, fostering the collaboration between companies, public administration, the academic environment and end-users.
i2CAT’s activities span the areas of Research, playing a key role in the EU Framework Program for Research and Innovation; Strategic Projects, leading local initiatives that strengthen the digital policies of public administration, and Technology Transfer, fostering R&D collaboration with companies to develop innovative market-oriented solutions.
Want to know more? Visit our webpage!
What do we offer:
-You will be part of a multicultural team. We have a fun loving and friendly international work environment.
-Be in contact and work with cutting-edge technology
-Work in challenging R&D projects
-Fix + variable salary
-Option of flexible retribution (restaurant card, transport card, medical insurance, kindergarten)
-Flexible working schedule - We know you have a life outside of work and we will work with you to make sure it's kept that way
-Fridays afternoon off
-Intensive work schedule in July & August
-One home-office day per week
-Open space office in Barcelona.
-Free fruit every week
-25 vacation days per year
-Casual dress code
-Let us know which trainings you need
-You will have the opportunity to attend tech conferences and events.
The i2CAT Foundation seeks to increase the number of women in those areas where they are underrepresented and, therefore explicitly, encourages women to apply.
The i2CAT Foundation seeks to increase the number of persons with disabilities among its workforce, and therefore explicitly encourages this collective to apply.
-BsC or MsC related to AI and/or related topic
-Excellent programming and algorithmic skills.
-Proven experience with at least one programming Language: Python (preferable), R, Matlab or C++.
-Knowledge of machine learning tools: Sklearn, Tensorflow, OpenCV, etc.
-Experience in AI research and innovation projects
-Excellent English level, both written and oral.
-Pro-active and independent individual
-Good communication skills.
-Creativity and curiosity.
Nice to have:
-PhD related to AI and/or related topic
-Experience in AI research and innovation projects applied to cybersecurity
-Proven knowledge of unsupervised learning
-Proven knowledge of adversarial machine learning
-Knowledge of Big Data tools such us: Hadoop, Spark and MongoDB
-Show developments done by your own initiative (i.e. Github account with public projects, Kaggle competitions).
-Published research in high impact journals
-Good Spanish and/or Catalan
Detalles de la oferta
Esta oferta está cerrada
El proceso de selección de esta vacante está cerrado y no se pueden enviar más CVs.