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RNC Model Builder (m/w/d) – Robust Network Control & UAV Simulation Modeling

RNC Model Builder (m/w/d) – Robust Network Control & UAV Simulation Modeling
TN Germany
München
EUR 65.000 - 85.000
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AI Backoffice Specialist with Dutch, Flemish (m/f/d) - Relocation to Essen

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AI Prompt Evaluators with Chinese | On-site in Essen

AI Prompt Evaluators with Chinese | On-site in Essen
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(Senior) Machine Learning / AI Engineer (all genders)
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AI Prompt Evaluators with Polish | On-site in Essen
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AI Prompt Evaluators with Romanian | On-site in Essen
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Senior Product Manager, Grafana AI/ML (Remote, Germany)

Senior Product Manager, Grafana AI/ML (Remote, Germany)
TN Germany
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AI Prompt Evaluators with Ukrainian | On-site in Essen

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RNC Model Builder (m/w/d) – Robust Network Control & UAV Simulation Modeling

TN Germany
München
EUR 65.000 - 85.000
Jobbeschreibung

The provided job description contains valuable information but has some issues with repetition, formatting, and irrelevant content. Here's a refined version that improves readability, removes redundant sections, and maintains the original details:

Job Description

Your mission

  • Develop RNC (Robust Network Control) models for optimizing UAV communication, navigation, and swarm coordination.
  • Build real-time simulation models to test network resilience under electronic warfare (EW), jamming, and cyber threats.
  • Design and implement mathematical and AI-driven models for network reliability, redundancy, and adaptive routing.
  • Work with multi-agent reinforcement learning (MARL) and AI-based control systems to enhance UAV swarm intelligence.
  • Optimize control algorithms for UAV path planning, traffic balancing, and fault tolerance.
  • Integrate RNC models into UAV test environments (ROS2, Gazebo, AirSim, MATLAB Simulink).
  • Collaborate with network engineers, AI specialists, and embedded teams to improve UAV mission efficiency.
  • Conduct real-world validation and Hardware-in-the-Loop (HIL) testing for model accuracy.

Your profile

  • 3+ years experience in network control modeling, autonomous systems, or real-time UAV simulation.
  • Strong background in control theory, network optimization, and robust system design.
  • Proficiency in MATLAB, Simulink, Python, C++, or Julia for RNC model development.
  • Experience with graph-based network modeling, probabilistic control, and AI-enhanced network management.
  • Familiarity with SDN (Software-Defined Networking), UAV swarm communication protocols, and decentralized control.
  • Understanding of fault-tolerant systems, electronic warfare countermeasures, and cyber-resilient networks.

Nice to have

  • Experience in military UAV swarm control, MANET/FANET modeling, and distributed AI optimization.
  • Background in network security, AI-driven adversarial testing, and self-healing networks.
  • Knowledge of 5G/6G, LoRa, mesh networking, and hybrid communication architectures.

Why us?

Join us to shape the future of AI-driven defense! We welcome applications even if you don't meet all criteria 100%. Apply via our online form. We are committed to building scalable, cost-effective defenses against emerging security threats and are looking for passionate developers to help create innovative solutions.

About us

We are a defense-tech start-up specializing in machine vision solutions. Based in Munich, Berlin, and Bochum, we are rapidly expanding across Europe. We embrace a hybrid work culture, valuing both in-office collaboration and remote work with autonomy.

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