Expire bientôt Philips

Lead Scientist in Machine Learning - M/F

  • Suresnes (Hauts-de-Seine)
  • Développement informatique

Description de l'offre

You are a creative and passionate researcher and you want to bring the latest innovations of machine learning and artificial intelligence to medical applications.

“At Philips, we have a long history of converting research into meaningful innovation to improve lives”

Organization

Royal Philips is a leading company in the field of personal health and professional care with over 100 000 employees worldwide. Philips research is composed of more than 1000 researchers collaborating with 200+ academic and clinical research institutions.

Directly reporting to the Research Department Head, you will be part of an international team of 30+ researchers in Image Processing and Machine Learning, based in Philips France Headquarters in Paris area (Suresnes).

Key Responsibilities

Manage and develop Machine Learning competencies in the team:

·  Coach and support Research Scientists in the domain
·  Take part in Projects Steering Committees as Scientific Advisor

Apply novel Machine Learning technics in international research projects:

·  Interact with medical professionals to determine their needs and create innovative solutions
·  Supervise experimental validation and perform statistical analysis of software prototypes

Lead scientific communication and Machine Learning promotion:

·  Coordinate scientific communications and partnerships with Universities and Research Institutes
·  Connect with Global Philips R&D to leverage Machine Learning use in Healthcare systems

Profile requirements

Machine learning specialist:

·  PhD in Mathematics, Machine Learning, Artificial Intelligence, Statistics or equivalent.
·  3+ years post PhD experience using Machine Learning/Deep Learning technics

Excellent skills in scientific computing: C/C++, Python

Strong communication skills in written and verbal English. French is a plus.

Team player, enthusiast, able to convince and lead

To apply

Apply and join us to change the future of Healthcare!

Contact

In case of difficulties with your job application please send an email to  ************@*******.**

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