MSc. Thesis @ ETH x Arqh: From Prompt to Plan.
From Prompt to Plan: Agentic Interfaces for Human-in-the-Loop Operations Research.
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From Prompt to Plan: Agentic Interfaces for Human-in-the-Loop Operations Research
🧠 Scope
Build an agentic orchestration layer that translates natural‑language prompts into solver actions, learns user preferences, and enables near‑real‑time, planner‑in‑the‑loop re‑optimization for complex OR problems.
🔍 What you’ll do
Prototype parser agents, wire up solver APIs, design preference‑learning feedback loops, and optimize latency/UX for trustworthy, explainable outputs.
✅ Profile
- Excellent Python
- Enthusiasm for mathematical optimization (MILP/CP/SAT)
- Familiarity with modern LLM tooling (function‑calling / agent frameworks)
- Bonus: basic DevOps or front‑end
- Curiosity, initiative, and collaborative mindset
👩💻 Details
- Zurich‑based, mostly in‑person preferred.
- Start: As soon as possible
- Co‑supervised with Prof. Menna El‑Assady and IVIA Lab @ ETH Zurich
About Arqh AG
At ✨Arqh✨ we are building a decision intelligence software specifically for logistics operators. We founded in 2025, rapidly raised 3Mio. CHF pre-seed & are assembling the core team.
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