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Research Intern – Machine Learning for Solving Inverse Problems

Job Description

Now’s our time to inspire the future of healthcare together.

At Siemens Healthineers, we are passionate about enabling healthcare professionals to deliver high quality patient care, and to do so affordably.  A leading global healthcare company, Siemens Healthineers continues to strengthen our portfolio of medical imaging and laboratory diagnostics, while adding new offerings such as managed services, consulting, and healthcare information technology services – as well as further technologies in the growing market for therapeutic and molecular diagnostics.

Siemens Healthineers develops innovations that support better patient outcomes with greater efficiencies, giving providers the confidence, they need to meet the clinical, operational and financial challenges of a changing healthcare landscape. Join our team now at Siemens Healthineers as a Research Intern – Machine Learning for Solving Inverse Problems

This is a role well suited to an ambitious professional, looking for the next step in their career. As a Research Intern – Machine Learning for Solving Inverse Problems, you will be responsible for:

• Research, design, and implement algorithms for solving inverse problems in medical imaging (image denoising, image super-resolution, image reconstruction etc.) using machine learning especially deep learning. 
• Advance the state-of-the-art, including generating patents and top publications 
• Work on large-scale, real-world problems, be entrepreneurial in an environment that’s more startup than big company

This position may suit you best if you are familiar with what is below, and would like to do develop your career with Healthineers

• Current graduate students in Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines for research interns 
• Experience with machine learning libraries such as PyTorch, TensorFlow, Keras in addition familiarity with image processing in Python and C++ 
• Hands-on coding skills and ability to quickly prototype in Python. Knowledge of systems for software version control (SVN, Git) and software build (CMake) is a plus
Required skills to have for the success of this role
• Strong collaboration skills and ability to thrive in a fast-paced environment

Start Date: February 2022

Siemens Healthineers has recently announced the next steps in our continued commitment to prioritize colleague health, comply with customer/business partner requirements, and help preserve our business continuity.  Going forward, please be aware that Siemens Healthineers requires full COVID-19 vaccination for all new hires by their start date.

(Note: Accommodations may be requested for certain medical or religious reasons)

At Siemens Healthineers, we value those who dedicate their energy and passion to a greater cause. Our people make us unique as an employer in the med-tech industry. What unites and motivates our global team is the inspiration of our common purpose:  To innovate for healthcare, building on our remarkable legacy of pioneering ideas that translate into even better healthcare products and services. We recognize that taking ownership of our work allows both us and the company to grow. We offer you a flexible and dynamic environment and the space to move beyond your comfort zone to grow both personally and professionally.

If you want to join us in transforming the way healthcare is delivered, visit our career site at https://usa.healthcare.siemens.com/careers

If you wish to find out more about the specific before applying, please visit: https://usa.healthcare.siemens.com/about. 

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

Organization: Siemens Healthineers

Company: Siemens Medical Solutions USA, Inc.

Experience Level: Student (Not Yet Graduated)

Job Type: Full-Time temporary



Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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