Cyber Agents for Security Testing and Learning Environments (Cybersecurity Research Intern)

Job Description

We are seeking a Cybersecurity Research Intern to join our team in Princeton, New Jersey. This role is ideal for a PhD student passionate about advancing autonomous cyber defense strategies and causal inference techniques. The ideal candidate will be instrumental in supporting research activities by working on state-of-the-art research to address challenges posed by sophisticated cyber threats like Advanced Persistent Threats (APTs).

This opportunity offers hands-on experience in applying cutting-edge methods, such as causal modeling and Monte Carlo tree search, to develop optimal defender strategies for network security. You will contribute to innovative projects in the areas of optimal decision-making, cybersecurity, machine learning, and causal inference. We leverage these techniques to enhance computational efficiency and decision-making in real-world cybersecurity scenarios.

As part of a dynamic team, you will collaborate closely with other interns, senior researchers, and project leads, offering your expertise while gaining invaluable experience in a cutting-edge, technological environment. Your contributions will not only drive the project towards success but also shape the future of automation of cyber defense strategies. We are looking for someone who is ready to take on challenges, learn rapidly, and make a significant mark in the field of security automation.

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

The challenges and responsibilities

Collaborate on results-driven research to develop state-of-the-art methods for defending networked systems against APTs using causal inference and optimization techniques.Explore and refine novel algorithms, such as C-POMCP, GNNs, and VGAEs, for improving autonomous defender strategies against benchmark scenarios like CybORG CAGE-2.Conduct novel research on causal modeling and optimal decision-making frameworks.Help integrate research outcomes into practical solutions for securing IT infrastructure, leveraging domain expertise and simulation tools.Collaborate closely with researchers and engineers across Siemens Foundational Technologies, the Siemens central research department, to align research objectives with real-world applications.Present findings in internal reviews and contribute to publications and/or patents.Required Knowledge/Skills, Education, and Experience

Must currently be enrolled full-time in a PhD program in cybersecurity, artificial intelligence, computer science, or a related field.Strong theoretical foundation in causal inference, optimization, or reinforcement learning.Familiarity with cybersecurity concepts, such as intrusion detection, Advanced Persistent Threats (APTs), and network security.Experience with algorithms for Partially Observable Markov Decision Processes (POMDPs) or Monte Carlo tree search Problem-solving skills with a demonstrated ability to work on complex projects involving mathematical modeling and experimentation The ability to articulate complex technical ideas effectively Proficiency in programming languages such as Python, with experience using frameworks like TensorFlow, PyTorch, or similar toolsExcellent knowledge of English (spoken and written)

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

Preferred Skills:

Hands-on experience in Linux environments, including command-line usage and shell scripting a significant plus.Experience with professional software development tools and workflows, such as Git, Jira, or GitLab a significant plus.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.

Build a better #TransformtheEveryday

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 do we offer?

Our team is part of Siemens Foundational Technologies (FT), which is home to Siemens’ central Research & Development department. The team is composed of consultants, 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 to all our business units in Siemens provides the opportunity to contribute to and gain experience in real industrial applications.

Our research team is located in beautiful Princeton, NJ, a university town packed with exceptional international talent that provides 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 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.

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

Our Commitment to Diversity, Equity, and Inclusion:

We appreciate your outstanding identity and perspective. We are fully dedicated to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and build a better tomorrow with us. Learn more about our dedication to DEI here.

At Siemens, we are fully committed to protecting the environment, conserving natural resources, and ensuring the health and well-being of our employees. These principles are deeply ingrained in our Business Conduct Guidelines and corporate strategy.

US Export Control laws and regulations govern the distribution of important technology, services, and information to foreign nationals and countries. Siemens may ask candidates about citizenship status to align with US Export Control laws.

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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.

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