Are you interested in an Intern opportunity with Philips? We welcome currently enrolled graduate (PhD) level students to participate in our intern opportunities at our Philips Research facility in Cambridge. Through these roles you will gain meaningful, hands-on experience in engineering for a HealthTech company.
In this role, you have the opportunity to
Contribute to the research and development activities at the Artificial Intelligence (AI) Laboratory in Philips Research North America to create innovative AI solutions to support knowledge discovery, decision-making and attainment of optimal patient outcomes across the care continuum.
You are responsible for
Development of novel algorithms and working prototypes/demos based on Natural Language Processing (NLP) and Machine Learning techniques to address tasks related (but not limited) to information extraction, text summarization, natural language generation, automated question answering, and reasoning using unstructured clinical documents, biomedical literature and social media data
Extensive research on the existing relevant work in the literature to align, compare and contrast with the state-of-the-art techniques and algorithms
Manuscript preparation by working closely with the AI team towards disseminating the conducted research in top quality AI/Machine Learning/NLP conferences/journals
You are a part of
Philips Research is one of the world’s leading corporate research organizations and has a rich history of producing successful innovations in the area of health and well-being. Powered by the intellect and hard work of more than 1,600 talented individuals, we fuel value creation and growth in Philips by creating new technologies that improve people’s lives. Philips Research North America is one of Philips’ six worldwide research laboratories where innovations and discoveries help drive Philips products and opportunities. It is located in Cambridge, MA overlooking the Charles River walking distance from our collaborators at MIT.
To succeed in this role, you should have the following skills and experience
Ph.D. student in Computer Science or related fields with strong expertise in computational linguistics, natural language processing, and machine learning (especially, deep learning)
Proficiency in Python, Java or Lua etc. programming languages
Extensive experience with deep learning tools and frameworks (e.g. Keras, TensorFlow, Theano, Caffe, Torch, PyTorch etc.)
Experience with NLP-related tools (e.g. NLTK, UIMA, TextBlob etc.)
Experience in dealing with clinical text data and familiarity with standardized medical terminologies (e.g. SNOMED-CT, ICD-10 etc.) is a plus
Able to work within a team environment and should be self-motivated with the ability to plan and execute
Able to communicate in English effectively, both written and verbal
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