- 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.
- Must currently be enrolled full-time in a PhD program in cybersecurity, artificial intelligence, computer science, or another major from an accredited university with similar focus.
- Theoretical foundation in causal inference, optimization, or reinforcement learning.
- 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
- Proficiency in programming languages such as Python, with experience using frameworks like TensorFlow, PyTorch, or similar tools.
- 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
- Hands-on experience in Linux environments, including command-line usage and shell scripting
- Experience with professional software development tools and workflows, such as Git, Jira, or GitLab a significant plus.
- Excellent knowledge of English (spoken and written) required.
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.
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.
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