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Machine Learning for Security - Belgium  

KU Leuven (company)


Posted on : 13 May 2017

Project Description

  • imec-DistriNet gathers more than 30 researchers working on and with middle-ware platforms. 
  • We currently focus on multiple research challenges in the domain of context-aware security, scalable data analytics and machine learning including deep learning:
  • Preserving privacy in data mining applications
  • Adversary threats and machine learning 
  • Middle-ware architecture for scalable data and security analytics
  • We apply our findings in case studies in innovative application domains, including e-health, e-finance, e-media and e-government.

If you share our strong interest in security and machine learning and if you have
  • a master in computer science (or equivalent),
  • an analytical mind and technically skilled,
  • optionally some industry experience,
  • and fluent English communication skills,

  • a supportive and collaborative team in which you can develop know-how and expertise in state-of-the-art technologies,
  • the opportunity to build up research and innovation skills that are essential for a future career in industrial as well as academic research and development environments,
  • support in the further development of your competences to analyze strategic research problems and to architect and evaluate innovative solutions with industrial applicability,
  • an international and multicultural working environment at the  Campus.
  • This position is open for junior and senior researchers, including Project Collaborators, PhD students and Post-docs. 
  • This research position can definitely lead to a PhD trajectory in computer science, but this is not a mandatory track for candidates interested to apply for this position.