Research Scientist (m/f) Machine Learning / Medical Systems & Solutions

Job description

Job Title

Research Scientist (m/f) Machine Learning / Medical Systems & Solutions

Job Description

Philips Research passionately lives Philips' vision to improve the lives of 3 billion people a year by 2025 by striving to make the world healthier and more sustainable by means of innovation. Operating with a global footprint in international, multi-disciplinary networks at the forefront of innovation, Philips Research co-creates the future of Healthcare worldwide.

At our Research premises in Hamburg, strategically co-located with Philips' global headquarters for the DACH (Germany, Austria and Switzerland) market organization, we concentrate our energy on facing the global trends of a rapidly growing, ageing population, the transformation towards value-based care and stringent demands on efficiency and quality improvements in healthcare.

We strongly play in all novel diagnostic and image-guided therapeutic fields across the health spaces of cardiology, oncology, respiratory diseases, neurology and fertility, pregnancy and parenting. We feel at home with novel hybrid and tomographic imaging techniques, medical image analysis, bio-mechanical/physiological modeling, computer assisted detection and clinical decision support systems.

For more insights into our mission, visit us at www.research.philips.com .

We are currently encouraging applications of dedicated research scientists eager to touch the lives of people around the world by addressing challenging, unmet clinical needs by means of innovative image analysis technologies embracing the latest paradigm shifts in machine learning approaches.

Your Responsibilities

·  Design, implement and validate innovative medical image analysis technologies and algorithms utilizing modern approaches from the domains of machine learning and advanced data analytics
·  Transfer research results into solutions of clinical practice
·  Establish and expand academic and clinical research collaborations
·  Balance clinical, technological and commercial challenges alike related to the advancement of complex technical medical systems
·  Develop and drive of own ideas for technological advances in the above and adjacent domains

Your Profile

We are looking for a highly motivated, innovative person with excellent team-working skills delivering exceptional results.

·  PhD in computer science, physics, mathematics, engineering sciences (PhD in machine/deep learning as a plus)
·  In-depth proficiency in machine learning, in particular deep learning and neural networks with practical experience in deep learning frameworks (e.g. Theano, Caffe, TensorFlow, CNTK, or Torch)
·  Excellent knowledge in the fields of numerical methods, optimization methods and data analytics.
·  Proficiency in modern programming languages (C/C++, CUDA, Python etc.)
·  Excellent communication skills
·  Proficiency in the English language

Philips encourages people with disability to apply.

Please upload your complete documents, incl. CV, diplomas, PhD and a list of your publications. Please apply only online and include in your cover letter your salary expectations and the earliest possible starting date/your period of notice.

As a company for health and wellbeing the compatibility of our employees' professional and private life is an important aspect for Philips. Therefore we offer numerous services to support you for example \'Kids and more\' as part of our family services, the “Philips in Balance - health program”, as well as modern working time models.

Contact

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