Description de l'offre
Locations:Princeton, New Jersey
Job Family:Internal Services
Division: Corporate Technology
Business Unit: Research in Digitalization and Automation
Requisition Number: 239339
Primary Location: United States-New Jersey-Princeton
Assignment Category: Full-time temporary
Experience Level: Entry level
Education Required Level: High School Diploma / (GED)
Travel Required: No
For nearly 170 years, pioneering technologies and the business models developed from them have been the foundation of Siemens‘ success. Our central research and development unit, Corporate Technology (CT) plays an important role in this. Together with our global network of experts, we are a strategic partner to Siemens' operative units and provide important services along the entire value chain – from research and development to production and quality assurance, as well as optimized business processes. Our support provided to the businesses in their research and development activities is ideally balanced with our own future-oriented research.
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.
Are you interested in contributing cutting-edge computer vision research in real industrial applications?
Here's the right internship opportunity for You!
Join our Vision Technologies and Solutions team located in Princeton, NJ, for a 6-month full-time (40 hours/week) internship starting July and working on research and implementation of state-of-the-art deep learning algorithms for computer vision applications. Our close contact to different business units in Siemens provides the opportunity to contribute to and gain experience in real industrial applications. During this internship, you will experience the excitement and challenges of industrial research. An internship with Siemens Corporate Technology is a great opportunity for students to gain real world experience in a diverse work environment in the US.
For nearly 170 years, pioneering technologies, and the business models developed from them, have been the foundation of Siemens' success. Our central research and development unit, Corporate Technology (CT) plays an important role in this. Together with its global network of experts, CT is a strategic partner to Siemens' operative units. It provides important services along the entire value chain – from research and development to production and quality assurance, as well as optimized business processes. The support provided to the businesses in their research and development activities is ideally balanced with CT's own future-oriented research. Siemens' central research and development arm sees itself as a strategic partner to the company's businesses. It plays a key role in achieving and maintaining leading competitive positions in the fields of electrification and automation while at the same time helping Siemens fully tap into the growth field of digitalization.
Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated students. 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?
· You will contribute to industrial research projects on that develop a variety of algorithms and systems in computer vision, image and video analysis (including publications).
· You will apply image and video analysis techniques to large-scale, real-world problems.
· You will collaborate and exchange ideas with experts in the fields of computer vision, deep learning and natural language processing.
· You will implement concepts and solutions in prototypes
What skills are needed to qualify for this internship?
· A current MS student pursuing a degree in Engineering or Mathematics . Please note, you must still be enrolled as a student during the internship period to qualify for the position.
· 1-2 years of experience in computer vision, machine/deep learning, or related fields.
· 1-2 years of experience with hands-on coding skills and ability to quickly prototype in C++/python
· 1 year of experience in advanced algorithm prototyping
· 1 year of programming experience in MATLAB and C++, e.g. writing reusable code
· 1 year of practical experience in research on computer vision
· Knowledge of advanced deep learning frameworks (PyTorch/Tensorflow)
· Domain knowledge in computer vision systems preferred
· Excellent team working and communication (verbal & written) skills
· Flexibility and adaptability to work in a growing, dynamic, interdisciplinary team of experts.
May consider sponsorship of short-term J-1 visa students, dependent upon program requirements.
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 onhttps://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs
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.
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