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Offers “Siemens”

43 days ago Siemens

6-12 Month Internship – Living Lab Cyber Defense & Analytics

  • Internship
  • Princeton ( Mercer )

Job description

Job Description

6-12 Month Internship – Living Lab Cyber Defense & Analytics

Are you interested in advancing the state-of-the-art regarding Cyber Defense for Industrial IoT?

Here's the right internship opportunity for You!

Join our Cybersecurity Research Group located in Princeton, NJ, for a 6-12-month full-time (40 hours/week) internship starting April 2020 and investigate new approaches for Cyber Defense in industrial environments.

Job Description

Cybersecurity is a key enabler for Digitalization in industry. Without security and trust, the benefits of interconnected industrial systems will not come as quickly and comprehensively as needed. A crucial element of providing and maintaining the security of industrial devices and the industrial environments where they live in is to be able to detect attacks and new threats against these environments quickly, to react in a fast and adequate way to contain potential attackers, and to remediate cyber security incidents. Hence, Siemens makes sure that our products support proper detection and incident response, and we support our customers to establish state-of-the-art cyber defense processes and tools.

Siemens Corporate Technology is running and continuously improving a Living Lab dedicated to Cyber Defense and Security Analytics. Here, we are looking for an intern interested to learn and support improving the lab towards a cyber test range, where attacks and defenses can be tested against Siemens products and solutions. The successful candidate will perform development and research tasks to extend and integrate existing tools and research results into our Living Lab tool chain. 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.

Our team

Our research team is composed of makers, innovators, engineers, and researchers that unite a passion about cybersecurity and securing our customers' assets and networks - in domains such as control systems used in energy utilities that are part of the nation's critical infrastructure, smart factories, building automation systems, intelligent transportation systems, healthcare, and innovative new products and solutions developed by Siemens. Our close contact with all of our business units in Siemens provides the opportunity to contribute to and gain experience in real industrial applications.

Siemens Background

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. 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 research team is in beautiful Princeton, NJ, a university town packed with exceptional international talent that provide a unique feel of this true cultural gem in the state. The town has plenty of activities to offer, but for those looking for more, at just about 1h drive we have NYC or Philadelphia! We have the best public schools in the country and all of the above glued together by a very active and welcoming community!

As Siemens' central Research & Development department, we embrace this community. Our core mission is to support our Siemens business units as a central knowledge hub for all cybersecurity capabilities globally. We research and develop new and innovative solutions, based on much-needed deep technical expertise, and our network with internal and external experts and academia. This allows us to invent new solutions and approaches and verify their feasibility in the “real world” together with the product development teams of our business units – creating a stimulating setup for quick innovation cycles and rapid prototyping.

What are my responsibilities?

·
You will understand the concept of a Cyber Test Range where new ideas, tools, and research results can be quickly tested against a realistic industrial setup

·
You will assess and evaluate existing tools in the area of Cyber Defense (with a specific focus on Privacy-preserving analytics and differential privacy approaches), by contributing to ongoing university collaboration projects, and by integrating results into the Cyber Test Range and making them available for validation, testing, and creation of a comprehensive cyber defense framework

·
You will implement tools and write glue code to integrate new tools into the lab, based on state-of-the-art devops deployment pipelines

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You will research, propose, and implement research validation methods with a broad community of product developers and managers

·
You will cooperate with key university partners

What skills are needed to qualify for this internship?

·
A current student pursuing a MS/PhD degree in Computer Science / Computer Engineering, or other related subject with a strong focus on IT-Security or Cybersecurity. Please note, you must still be enrolled as a student during the internship period to qualify for the position.

·
You must be able to work 40 hours a week for the entire duration of the internship.

·
1+ years of prior experience in the area of privacy protection techniques (preferably including differential privacy) required

·
1+ years of prior experience in security analytics (machine learning) required

·
1+ years of prior experience in software development (e.g., Python, Java), devops-style software deployment (e.g., Docker, Jenkins, Gitlab, Eclipse), and system administration required

·
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 candidates 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 https://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs

Organization: Corporate Technology

Company: Siemens Corporation

Experience Level: Early Professional

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, 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
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Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here .

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