16 days old
2017-11-282017-12-28

Sr. Deep Learning Research Scientist Whole Body Imaging

Siemens
Princeton, NJ
**Sr. Deep Learning Research Scientist Whole Body Imaging**







Locations:Princeton, New Jersey







Job Family: Research & Development







Apply







English (US)







**Job Description**







**Division:** Siemens Healthineers



**Business Unit:** Strategy & Innovation



**Requisition Number:** 218423



**Primary Location:** United States-New Jersey-Princeton



**Assignment Category:** Full-time regular



**Experience Level:** Senior level



**Education Required Level:** Doctorate Degree



**Travel Required:** No







**Division Description:**







Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationality for more than 165 years. As a global technology company, Siemens is rigorously leveraging the advantages that this setup provides. To tap business opportunities in both new and established markets, the Company is organized in nine Divisions: Power and Gas, Wind Power and Renewables, Energy Management, Building Technologies, Mobility, Digital Factory, Process Industries and Drives, Healthineers and Financial Services.







With 45,000 employees Siemens Healthineers is one of the worlds largest suppliers of technology to the healthcare industry and a leader in medical imaging, laboratory diagnostics and healthcare IT. All supported by a comprehensive portfolio of clinical consulting, training, and services available across the globe and tailored to customers needs. So that more people can have a life that is longer, richer, and more filled with happiness.







For more information, please visit: http://www.usa.siemens.com/healthineers







**Job Description:**







Sr. Research Scientist - Deep Learning Whole Body Imaging







Job Description







The Medical Imaging Technology team of Siemens Healthcare Technology Center has an immediate opening in Princeton, NJ for a research scientist with a focus on Deep Learning and Medical Image Analytics. Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated researchers. You will have the opportunity to test your knowledge in a challenging problem-solving environment. You will be encouraged to think out-of-the-box, innovate and find solutions to real-life problems. Our team has a strong publication record in leading journals and conferences.







What are my responsibilities?







Research, design, and implement algorithms in Deep Learning for Medical Image Analysis problems.



Advance the state-of-the-art , including generating patents and publications in top journals and conferences.



Work on large-scale, real-world problems.



Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components.



Work with customers to understand requirements and deliver solutions







What do I need to qualify for this job?







Ph.D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math



Strong background in Deep Learning.



Graduate research and internship experience in Computer Vision, Machine Learning and Image Understanding preferred.



Experience in GPU programming.



Hands-on coding skills and ability to quickly prototype in C++ is a must. Further experience in Scripting languages such as Python is a plus.



Outstanding written and verbal communication skills in English are required



Excellent interpersonal skills and a can-do attitude



Strong collaboration skills and ability to thrive in a fast-paced environment.



Successful candidate must be able to work with controlled technology in accordance with US Export Control Law. US Export Control laws and applicable regulations govern the distribution of strategically important technology, services and information to foreign nationals and foreign countries. Siemens may require candidates under consideration for employment opportunities to submit information regarding citizenship status to allow the organization to comply with specific US Export Control laws and regulations. Additional information on the US Export Control laws & regulations can be found on http://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs?view=category&id=33#subcat34







\#LI-ES1







**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, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.







**EEO is the Law**



Applicants and employees are protected under Federal law from discrimination. To learn more, Click here at https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm .







**Pay Transparency Non-Discrimination Provision**



Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here at https://www.dol.gov/ofccp/pdf/pay-transp_formattedESQA508c.pdf .

Categories

  • Engineering
  • Financial Services
  • Legal
  • Healthcare

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Sr. Deep Learning Research Scientist Whole Body Imaging

Siemens
Princeton, NJ

Share this job

Sr. Deep Learning Research Scientist Whole Body Imaging

Siemens
Princeton, NJ
US

Separate email addresses with commas

Enter valid email address for sender.

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast