Water and Wastewater Cybersecurity Service Portfolio: 6-12 Months Internship in Research & Development

Water and Wastewater Cybersecurity Service Portfolio:  6-12 Months Internship in Research & Development

We are seeking a highly motivated and detail-oriented intern to contribute to the "Enhancing Security and Resilience of System Dynamics in Water and Wastewater Control Systems under Cyberattack" project. The ideal candidate will focus on enhancing the security of our water and wastewater systems by capturing and analyzing system and environmental data, detecting security events, and integrating these capabilities into a user-friendly security assessment framework.

This role is perfect for someone passionate about cybersecurity and data analysis, and eager to apply their skills in a real-world project. You will collaborate closely with other interns and project leads, gaining invaluable experience in a cutting-edge technological environment. Your contributions will drive the project's success and shape the future of security operations. We are looking for someone ready to take on challenges, learn rapidly, and make a significant impact in the field of security automation.

This internship is a mandatory on-site position at our Princeton, NJ, USA office. Remote work is not available. Siemens offers interns a competitive salary, relocation and housing allowances. We also welcome international applicants seeking a J-1 visa (6-12 months).

The challenges and responsibilities

• Develop a cybersecurity assessment toolkit for water and wastewater system security.
• Develop practical recommendations for water treatment systems to withstand cyber-physical threats.
• Support the development of novel controller designs that balance operational efficiency and resilience to cyber-attacks.
• Develop a framework for enhancing system security through reduced identifiability.
• Support deriving insight into the trade-offs between identifiability, robustness, and security in MIMO systems.
• Engage in the design and enhancement of a security dashboard, focusing on intuitive data presentation and user interaction.
• Participate in the iterative process of testing and validation, ensuring the accuracy and effectiveness of the event categorization and detection logic.
• Assist in creating methods and code to gather data from water and wastewater networks on various levels to collect what is needed to make correct decisions about the security status of such networks.
• Learn about Siemens products that enable security scanning, security testing, security monitoring, vulnerability monitoring, and automated hardening/configuration, as well as asset management.
• Work collaboratively with other team members, particularly in areas of overlap between security event detection and other system components.

Required Knowledge/Skills, Education, and Experience

• Must pursue a M.Sc. in cybersecurity, or a related subject with a strong cybersecurity focus.
• Initial experience with industrial environments, Operations Technology (OT).
• Programming knowledge in Python, MATLAB or Julia
• Proficiency in data analytics and classification, with an ability to identify and interpret patterns in complex datasets.
• Foundation in cybersecurity principles, especially intrusion detection and response mechanisms.
• Background in systems integration and the ability to work with various data sources and formats.
• Written and verbal proficiency in English
• 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 at https://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs

Preferred:

• Existing background and expertise in water/wastewater.
• Prior exposure / experience with Siemens Control Systems.
• Familiarity with dynamic systems and control theory.
• Interest in control systems, cybersecurity, and machine learning.
• Excellent problem-solving skills and attention to detail, crucial for developing accurate detection logic and dashboard functionalities.
• Effective communication and teamwork skills, essential for collaborating with other interns and project stakeholders.
• Eagerness to learn and adapt, with a willingness to delve into new tools and technologies as required by the project.
• Experience with professional software development environments (e.g., Jira, Gitlab, or similar platforms).

You’ll benefit from:

Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html.

The pay range for this position is $32,550 - $55,800. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.

About Siemens: We are a global technology company passionate about industry, infrastructure, transport, and healthcare. We build resource-efficient factories, resilient supply chains, smarter buildings and grids, sustainable transportation, and advanced healthcare. Our technology adds real value for customers.

What We Offer: Our team is part of Siemens Technology (T), the central R&D department. We are consultants, innovators, engineers, and researchers dedicated to cybersecurity and securing our customers’ assets and networks across various domains, including energy utilities, smart factories, building automation, intelligent transportation, healthcare, and new products.

Located in Princeton, NJ, our research team benefits from a vibrant, international community with top public schools and proximity to NYC and Philadelphia. We support Siemens business units globally, developing innovative solutions and verifying their feasibility in real-world applications, fostering quick innovation cycles and rapid prototyping.

As an intern, you will experience a professional industrial research team and learn about the unique challenges and opportunities in industrial cybersecurity.

#LI-JS

#LI-ONSITE

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.

Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.

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

California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.