Вакансия № 16646019 на Электронной Службе Занятости Населения от компании PHILIPS. Здравоохранение на должность Research Scientist в населенном пункте Москва

☑ Основы вакансии:

Опыт работы: 1–3 года.

Тип занятости: полная занятость.

График работы: полный день.

Зарплата: по результату собеседования.

Примерное место работы: Российская Федерация, Москва.

☑ Актуальность объявления:

Это объявление № 16646019 добавлено в базу данных: Четверг, 4 апреля 2024 года.

Дата его обновления на этом интернет-ресурсе: Пятница, 19 апреля 2024 года.

☑ Репутация компании "PHILIPS. Здравоохранение":

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☑ Подробности о вакантном месте:

Scientist at Philips Innovation Labs in Skolkovo

For over 100 years, we have been one of the world’s premier research labs and now employ more than 1000 scientists and engineers around the world. Our multi-disciplinary teams collaborate with leading academic partners and customers to create meaningful innovations – from unmet needs, systematic explorations, creative ideas, to first-of-a-kind proofs of concepts. We aim at game changers that have the potential to radically improve outcomes and cost in healthcare, to enhance health and well-being. Positioned at the front-end of the innovation process, we are establishing a new Research presence in Russia.

Our Offer

We are expanding our activities in solutions enabled by healthcare IT, across our businesses. For this, we are seeking an experienced scientist with the passion to drive innovation, to bring together data / computer science know how, advanced data analytics capabilities, machine learning and artificial intelligence expertise – paired with an understanding of clinical applications and needs. The position will be embedded in a highly dynamic team, collaborating closely with our established labs in North America and Europe.

Your challenge

As a Scientist in the advanced machine learning field you will:

• Apply and advance the state-of-the art machine learning techniques and adapt them for application in Philips products, services, software and solutions;
• Participate in research projects that address machine learning challenges and transfer the results to Philips businesses;
• Scout for new technologies by visiting conferences, universities, vendors and monitor the literature and Internet sources;
• Explore, experiment, and pilot concepts and applications;

Your responsibility

• Carry out industrial research in machine learning, specifically in one or more of the following areas of ML: classical, deep, reinforcement, transfer, and active learning, by enlarging relevant knowledge and bringing-in new knowledge;
• Pro-actively make knowledge available for operational use within Philips Research and across Philips, such as to contribute to successful transfers of research results to the business;
• Keep abreast of technical, application and market developments in the relevant technological and industrial areas, showing interest in the business aspects;
• Contribute to the definition of the research program in the local department;
• Contribute pro-actively to a creative and inspiring working environment.

  More specifically:

• You perform independent research, provide consultancy, and participate in/define projects in the area of advanced machine learning (e.g. by applying and enhancing deep learning to medical image processing, learning from multi-modal data, analysis of time-series data, combining knowledge and data driven approaches, etc.). The results of your work are adopted by Philips businesses, and are translated into successful products/services. You contribute to the strategy of the local research department, and collaborate with colleagues in the Netherlands, France, and the USA.
• You create technologies that ensure proper machine learning functionality for Philips products and services. In addition, you contribute to the machine learning strategy within the Research program. You have a full understanding of the state-of-the-art and create original contributions. You address important challenges in applying advanced machine learning techniques and tooling for specific application in Health and Well-Being.

To succeed in this role, you should have the following skills and experience

• Proven capabilities in the domain of machine learning and hands-on experience with a particular sub-fields such as deep learning (e.g. convolutional neural networks, restricted Boltzmann machines, recurrent neural networks, etc.);
• PhD in computer science or another relevant area providing good foundation in computer and data science, applied mathematics (including statistics, artificial intelligence, probability theory, etc.), or an MA/MSc with several years of relevant experience;
• Strong analytical skills, curious, proactive, fast learner able to quickly pick up new areas;
• Business acumen and understanding of business, market, and customer needs;
• Good communication and interpersonal skills, with the ability to build strong personal relationships at all levels, both internal and external to Philips Research;
• Affinity to the research way of working; Team player in multidisciplinary international setting, able to manage uncertainties and adapt quickly;
• Experience with tools such as R, Python, TensorFlow, etc.
• Experience with high performance / distributed computing is a plus.

Why should you join Philips?

Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways. Learn more by watching this video.

To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog. Once there, you can also learn about our recruitment process, or find answers to some of the frequently asked questions.

☑ О компании:

Логотип (эмблема, торговая марка, бренд) компании:

Сфера деятельности компании: Электроника, приборостроение, бытовая техника, компьютеры и оргтехника; Розничная торговля; Промышленное оборудование, техника, станки и комплектующие; .

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