Osborne Systems

About the Company

Shaping the future of digital measurement and automation in energy. Osborne Systems is a deeptech company at the intersection of measurement, automation, and energy. Guided by precision, innovation, and reliability, we develop patented digital solutions that help industries improve efficiency, reduce risks, and accelerate the energy transition. Our ambition is clear: to become a global leader in automation and measurement, powered by a team of passionate engineers committed to excellence.

Listed Jobs

Company Name

Osborne Systems

Job Title

Internship – R&D Engineer (CCS)

Job Description

Job title: Internship – R&D Engineer (CCS) Role Summary: Assist in evaluating and enhancing thermophysical models for CO₂-rich mixtures (>95%) used in carbon capture and storage (CCS). Conduct literature reviews, curate experimental datasets, benchmark equations of state (EoS), and contribute to scientific paper preparation. Expactations: - Complete internship within 6 months (Feb/Mar 2026 start). - Deliver a draft conference paper in English. - Independently manage data extraction, cleaning, and analysis tasks. Key Responsibilities: - Review CCS-focused thermophysical models and EoS (GERG‑2008, PC‑SAFT, SRK, etc.) for 2–4 weeks. - Build and curate an experimental database of CO₂‑rich mixtures (composition, P/T, measured properties). - Benchmark experimental data against EoS predictions, analyzing trends across P/T/composition zones and flagging high‑risk regions. - Write and structure results for an English conference paper draft. Required Skills: - Strong fundamentals in thermodynamics and fluid properties. - High rigor in quantitative data analysis. - Proficiency in technical English (reading & writing). Required Education & Certifications: - Final‑year undergraduate or Master’s (M2) student in chemical engineering, thermodynamics, fluid mechanics, physics, chemistry, or applied data science. Appreciated Skills: - Python programming or advanced Excel. - Data visualization, scientific writing.

Palaiseau, France

On site

20-01-2026

Company Name

Osborne Systems

Job Title

Internship – Optimization of a RAG (Retrieval-Augmented Context Generation)

Job Description

**Job Title** Internship – Optimization of a Retrieval‑Augmented Generation (RAG) System **Role Summary** Six‑month internship focused on enhancing the retriever component of an agent‑based RAG pipeline for extracting technical information from complex industrial documents. The role involves research, implementation, and evaluation of data‑structuring, embedding, and query‑augmentation techniques, with opportunities to improve other system modules. **Expectations** - Demonstrate rigor, autonomy, and strong analytical mindset. - Deliver reliable, production‑grade AI solutions. - Communicate progress and propose improvement pathways. **Key Responsibilities** - Optimize document chunking and structuring strategies for industrial data. - Research, compare, and select embedding methods suitable for technical documents. - Implement query augmentation/rewrite techniques using Python and LangChain. - Design, code, and test enhancements to the retriever and overall RAG pipeline. - Evaluate system performance (quality, robustness, latency) and generate reports. - Contribute to other agent‑based components (agents, extraction pipeline, orchestration). - Propose and document improvement axes to boost reliability and efficiency. **Required Skills** - Strong proficiency in Python. - Knowledge of large language models (LLMs) and Retrieval‑Augmented Generation concepts. - Experience with or keen interest in LangChain. - Ability to work on complex, production‑oriented AI systems. - Analytical problem‑solving skills and attention to system performance. **Required Education & Certifications** - Currently enrolled in a Master’s program or engineering school (AI, Computer Science, Data Science or related fields). - No formal certifications required; demonstrated competence in relevant technical areas is essential.

Palaiseau, France

On site

20-01-2026