Engineer for Security Simulation Models in Maritime Infrastructure
Develop advanced simulation tools to assess and mitigate security threats to critical maritime assets using USV/UUV attack scenarios.
Best for:Best for engineers or researchers with expertise in simulation software (MATLAB/Python), a background in maritime security, and a passion for developing cutting-edge security solutions for critical infrastructure.
Overview
This position at the German Aerospace Center (DLR) in Bremerhaven focuses on creating simulation models to evaluate security risks for maritime infrastructure, including ports and coastal facilities. The successful candidate will design methodologies to quantify threats from emerging technologies like unmanned surface and underwater vehicles (USVs/UUVs) using tools such as MATLAB and Python. The role involves collaborative research, publishing findings, and the opportunity to pursue a PhD. The work aligns with DLR’s mission to advance sustainable technologies and address global challenges through innovation.
What you'll do
- Develop and adapt simulation models to assess security risks for maritime infrastructure, focusing on port facilities and coastal areas.
- Design methodologies to quantify threats from autonomous underwater and surface vehicles (UUVs/USVs) using realistic attack scenarios.
- Utilize simulation tools like MATLAB and Python to model and analyze security threats to critical assets.
- Present research findings at national and international conferences and publish in peer-reviewed scientific journals.
- Collaborate with industry, research partners, and stakeholders to integrate technological innovation with practical expertise.
- Pursue further academic qualification, including the opportunity to complete a PhD dissertation.
Requirements
Degree required: Master’s degree or equivalent in engineering, physics, mathematics, or a related scientific field
Degree offered: PhD
Language: English; proficiency required for communication and research output
Instruction: English
- Proficiency in simulation software such as MATLAB or Python
- Experience with programming tools for modeling and simulation
- Strong problem-solving skills and ability to conduct independent scientific research
- Excellent written and spoken English communication skills
- No specific nationality or residency restrictions mentioned
- Open to applicants with severe disabilities if qualified
Funding & terms
How to apply
Applicants should apply through the DLR job portal. The application process typically requires submitting a CV, cover letter, and other relevant documents. For specific instructions, visit the provided application URL.
- CV
- Cover letter
- Proof of degree (Master’s or equivalent)
- Letters of recommendation (if applicable)
Contact
Frank Sill Torres· Professor
+49 471 924199 01
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