<?xml version="1.0" encoding="UTF-8"?>
<source>
  <publisher>BELLMAN.SYSTEMS — Global Control Theory &amp; Cybernetics Index</publisher>
  <publisherurl>https://bellman.systems</publisherurl>
  <lastBuildDate>Fri, 13 Nov 2026 11:00:00 GMT</lastBuildDate>
  <job>
    <title><![CDATA[AI Agent Swarm Control Engineer & Multi-Agent Cybernetics Architect (Remote Research Pod)]]></title>
    <date><![CDATA[2026-11-13]]></date>
    <referencenumber><![CDATA[BELLMAN-SWARM-CTRL-01]]></referencenumber>
    <url><![CDATA[https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8]]></url>
    <company><![CDATA[BELLMAN.SYSTEMS]]></company>
    <city><![CDATA[Remote]]></city>
    <country><![CDATA[Worldwide]]></country>
    <jobtype><![CDATA[Part-Time / Full-Time Remote R&D Pod]]></jobtype>
    <salary><![CDATA[$25–$45 / hr USD]]></salary>
    <description><![CDATA[Apply classical control theory, closed-loop cybernetic feedback, decentralized Model Predictive Control (MPC), and Bellman dynamic programming to govern autonomous AI agent swarms, prevent cascading reasoning divergence, and enforce formal consensus. Core Mathematical Axiom: u_i*(t) = argmin_{u_i} 𝔼 [ ∫ L_i(x_i, x_{-i}, u_i)dt + V(x(T)) ]. Required Technical Stack: AI Agent Swarm Control, Multi-Agent Cybernetics, Decentralized MPC, Bellman Dynamic Programming, Closed-Loop Feedback Verification, 100% Within Your Specialization. Continuous remote research pod (10–25 hrs/week) open worldwide across 190+ countries (strictly excluding Russia, Iran, and North Korea). Apply directly via https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8]]></description>
  </job>
  <job>
    <title><![CDATA[Optimal Control, Trajectory Optimization & MPC Architect (Remote Research Pod)]]></title>
    <date><![CDATA[2026-11-13]]></date>
    <referencenumber><![CDATA[BELLMAN-HJB-MPC-02]]></referencenumber>
    <url><![CDATA[https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8]]></url>
    <company><![CDATA[BELLMAN.SYSTEMS]]></company>
    <city><![CDATA[Remote]]></city>
    <country><![CDATA[Worldwide]]></country>
    <jobtype><![CDATA[Part-Time / Full-Time Remote R&D Pod]]></jobtype>
    <salary><![CDATA[$25–$45 / hr USD]]></salary>
    <description><![CDATA[Formulate and solve continuous-time and discrete-time optimal control problems for high-DoF robotic manipulators, bipedal/humanoid locomotion, and autonomous guidance systems. Core Mathematical Axiom: ∂V/∂t + min_u { ⟨∇_x V, f(x,u)⟩ + L(x,u) } = 0. Required Technical Stack: Hamilton-Jacobi-Bellman (HJB), Model Predictive Control (MPC), DDP / iLQR, Direct Collocation, CasADi / Acados / Drake, C++20 / Rust. Continuous remote research pod (10–25 hrs/week) open worldwide across 190+ countries (strictly excluding Russia, Iran, and North Korea). Apply directly via https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8]]></description>
  </job>
  <job>
    <title><![CDATA[Cybernetics, Nonlinear Stability & Safe Control Scientist (Remote Research Pod)]]></title>
    <date><![CDATA[2026-11-13]]></date>
    <referencenumber><![CDATA[BELLMAN-CYBER-CBF-03]]></referencenumber>
    <url><![CDATA[https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8]]></url>
    <company><![CDATA[BELLMAN.SYSTEMS]]></company>
    <city><![CDATA[Remote]]></city>
    <country><![CDATA[Worldwide]]></country>
    <jobtype><![CDATA[Part-Time / Full-Time Remote R&D Pod]]></jobtype>
    <salary><![CDATA[$25–$45 / hr USD]]></salary>
    <description><![CDATA[Synthesize formal stability and safety certificates using Control Lyapunov Functions (CLF), Control Barrier Functions (CBF), and Robust H∞ / μ-synthesis for safety-critical dynamical and multi-agent systems under bounded disturbances. Core Mathematical Axiom: V̇(x, u) ≤ −α(V(x)),  ḣ(x, u) + γ(h(x)) ≥ 0. Required Technical Stack: Lyapunov Stability (CLF), Control Barrier Functions (CBF), Robust H∞ Control, SOS Programming, Nonlinear Observers, State Estimation (EKF/UKF). Continuous remote research pod (10–25 hrs/week) open worldwide across 190+ countries (strictly excluding Russia, Iran, and North Korea). Apply directly via https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8]]></description>
  </job>
  <job>
    <title><![CDATA[Dynamic Programming & Verifiable Reinforcement Learning (RLVR) Theorist (Remote Research Pod)]]></title>
    <date><![CDATA[2026-11-13]]></date>
    <referencenumber><![CDATA[BELLMAN-RLVR-MDP-04]]></referencenumber>
    <url><![CDATA[https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8]]></url>
    <company><![CDATA[BELLMAN.SYSTEMS]]></company>
    <city><![CDATA[Remote]]></city>
    <country><![CDATA[Worldwide]]></country>
    <jobtype><![CDATA[Part-Time / Full-Time Remote R&D Pod]]></jobtype>
    <salary><![CDATA[$20–$45 / hr USD]]></salary>
    <description><![CDATA[Design multi-step Bellman backup verifiers, formal process reward models (PRM), and contraction-mapping policy gradient pipelines for frontier reasoning models and sequential decision agents. Core Mathematical Axiom: (𝒯* V)(s) = max_a [ R(s,a) + γ 𝔼_{s'~P}[V(s')] ]. Required Technical Stack: Bellman Contraction Operators, RL with Verifiable Rewards (RLVR), MDPs / POMDPs, PPO / GRPO / DPO, Formal Verification (Lean 4 / Z3), PyTorch / JAX. Continuous remote research pod (10–25 hrs/week) open worldwide across 190+ countries (strictly excluding Russia, Iran, and North Korea). Apply directly via https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8]]></description>
  </job>
  <job>
    <title><![CDATA[High-Velocity GPU Physics & Differentiable Control Kernel Engineer (Remote Research Pod)]]></title>
    <date><![CDATA[2026-11-13]]></date>
    <referencenumber><![CDATA[BELLMAN-KERNEL-SIM-05]]></referencenumber>
    <url><![CDATA[https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8]]></url>
    <company><![CDATA[BELLMAN.SYSTEMS]]></company>
    <city><![CDATA[Remote]]></city>
    <country><![CDATA[Worldwide]]></country>
    <jobtype><![CDATA[Part-Time / Full-Time Remote R&D Pod]]></jobtype>
    <salary><![CDATA[$25–$45 / hr USD]]></salary>
    <description><![CDATA[Build massively parallel differentiable rigid-body and contact-rich simulation kernels enabling 100,000+ simultaneous closed-loop control rollouts per second on GPU clusters. Core Mathematical Axiom: ∇_θ J(θ) = ∑_t ∇_θ u_t^⊤ (R_u + B_t^⊤ V_{x,t+1}). Required Technical Stack: CUDA / Triton Kernels, MuJoCo MJX / Isaac Lab, NVIDIA Warp / Brax, Differentiable Physics, Zero-Overhead C++ / SIMD, Sim-to-Real Transfer. Continuous remote research pod (10–25 hrs/week) open worldwide across 190+ countries (strictly excluding Russia, Iran, and North Korea). Apply directly via https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8]]></description>
  </job>
  <job>
    <title><![CDATA[Graduate & Doctoral Fellow in Control Theory, Cybernetics & Swarm Control (Remote Research Pod)]]></title>
    <date><![CDATA[2026-11-13]]></date>
    <referencenumber><![CDATA[BELLMAN-GRAD-FELLOW-06]]></referencenumber>
    <url><![CDATA[https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8]]></url>
    <company><![CDATA[BELLMAN.SYSTEMS]]></company>
    <city><![CDATA[Remote]]></city>
    <country><![CDATA[Worldwide]]></country>
    <jobtype><![CDATA[Part-Time / Full-Time Remote R&D Pod]]></jobtype>
    <salary><![CDATA[$20–$35 / hr USD]]></salary>
    <description><![CDATA[Dedicated remote part-time track for MSc/PhD candidates, recent graduates, and postdoctoral researchers from 139 indexed universities worldwide to apply their exact control theory and cybernetics specialization to frontier AI agent swarms and autonomous systems. Core Mathematical Axiom: π*(s) ∈ argmax_{a ∈ A(s)} Q*(s, a). Required Technical Stack: Control Theory & Cybernetics, AI Agent Swarm Governance, Applied Mathematics, Differential Equations, Convex Optimization, 100% Remote Part-Time. Continuous remote research pod (10–25 hrs/week) open worldwide across 190+ countries (strictly excluding Russia, Iran, and North Korea). Apply directly via https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8]]></description>
  </job>
</source>