Research Scientist - Computer Vision, Deep Learning, Perception
Business Unit: Corporate Technology
Requisition Number: 220747
Primary Location: United States-New Jersey-Princeton
Assignment Category: Full-time regular
Experience Level: Entry level
Education Required Level: Doctorate Degree
Travel Required: 5%
We at Corporate Technology are more than employees: We are actively helping to make people’s lives a little better every day. Would you like to be a part of that? Then join us. We offer you a high level of practical relevance as well as an opportunity to individually contribute your knowledge and your visions around the world. Whether you’re helping to develop products for the operating units or working in interdisciplinary projects for the business areas: At Corporate Technology you’ll be working in the heart of Siemens’ technological research together with the best.
Research, design, and implement algorithms in Deep Learning for Computer Vision and Image Analytics.
Contribute to research projects that develop a variety of algorithms and systems in computer vision, image and video analysis.
Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.
Apply image and video analysis techniques such as deep learning to large-scale, real-world problems.
Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components.
Working with customers to understand algorithm requirements and deliver high-quality solutions.
Ph.D. in Computer Science, Electrical Engineering, or related discipline required. Strong background in Deep Learning.
Min of 3 years of Graduate research and internship experience in Computer Vision, Machine Learning and Image Understanding preferred.
Proven ability to develop new research ideas as demonstrated by a strong publication record and early developments to the level of a working system prototype.
Strong theoretical and practical background in computer vision, image and video analysis, specifically object detection, tracking and recognition, statistical modeling, statistical pattern recognition, machine learning, sparse methods, applied mathematics, optimization.
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.
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#