Two Research Engineer
Pubblicato il 28-10-2026 - The Italian Institute Of Artificial Intelligence in Torino
AI4I — Italian Institute of Artificial Intelligence, Turin, Italy
Scientific Lead
Prof. Michele Magno
Location
Turin, Italy
Positions
2
Working language
English
Start date
As soon as possible.
Compensation
Approximately €33,000 gross per year (±15%), depending on experience, qualifications, and performance.
The Edge AI & Intelligent Sensing (EIS) Laboratory at the Italian Institute of Artificial Intelligence (AI4I) is seeking two Research Engineers / Research Fellows to work at the intersection of Edge AI and emerging sensing technologies .
The EIS Lab is scientifically led by Prof. Michele Magno , Professor at ETH Zurich and internationally recognized researcher in Edge AI, intelligent sensing systems, ultra‑low‑power embedded computing, and autonomous systems.
The laboratory develops intelligent systems that bring AI directly to the edge, where AI meets the physical world, enabling real‑time, reliable, and energy‑efficient intelligence on resource‑constrained devices and in real‑world environments .
We are looking for researchers and engineers who are excited about working across the boundaries of machine learning, embedded systems, sensing, and hardware/software co‑design , and who want to translate research ideas into working experimental systems. Research spans application domains including robotics and autonomous systems, wearables, automotive, industrial systems, and biosignal sensing and processing , with a strong focus on real‑world deployment and technologies with clear industrial relevance .
The role
Research Engineers / Research Fellows will work closely with Prof. Magno and the EIS research team to design, implement, and experimentally validate new approaches for intelligent sensing and Edge AI.
Responsibilities May Include
Develop and evaluate machine learning and deep learning methods for edge and embedded applications.
Work with embedded platforms, edge accelerators, MCUs, NPUs, FPGAs, or other specialized computing hardware.
Integrate AI algorithms with novel intelligent sensing technologies, including event‑based cameras, depth cameras, radars, and other emerging sensing modalities.
Develop and experimentally evaluate prototypes toward high‑TRL solutions, with a strong focus on real‑world deployment and industrial relevance, across applications such as robotics, wearables, automotive, and industrial systems.
Contribute to scientific publications, research prototypes, open‑source software, and collaborations with academic and industrial partners.
Who We Are Looking For
We are looking for candidates with a strong technical and experimental profile who are motivated by the challenge of bringing intelligence to real‑world sensing and embedded systems.
Required
MSc degree in Electronic Engineering, or a closely related field.
Strong programming skills in Python, C/C++, or similar languages.
Practical experience with machine learning or deep learning frameworks, particularly PyTorch or equivalent.
Strong interest in Edge AI, embedded intelligence, intelligent sensing, computer vision, or related areas.
Hands‑on experimental attitude and the ability to build, test, debug,
and evaluate real systems.
Strong written and spoken English.
Candidates may have 1–3 years of relevant research or industrial R&D; experience , or may be excellent recent MSc graduates with a strong experimental profile.
For recent graduates, evidence of research or technical ability may include a high‑quality MSc thesis, research or industrial internship, period abroad, publications, open‑source contributions, or significant technical projects.
Nice to have
Embedded systems and Edge AI deployment, including experience with MCUs, NPUs, GPUs, FPGAs, or other edge AI accelerators
Model optimization and efficient inference, including techniques such as quantization, pruning, and deployment on resource‑constrained platforms.
Computer vision and intelligent sensing, including multimodal perception, sensor fusion, event‑based cameras, depth cameras, radars, or other emerging sensing technologies.
Electronics prototyping and debugging, including PCB design and familiarity with laboratory instrumentation such as oscilloscopes and logic analyzers.
Experience with application domains such as robotics and autonomous systems, wearables, automotive, or biosignal sensing.
A demonstrated research or engineering track record, through publications, research projects, open‑source contributions, a technical portfolio, or relevant industrial R&D; experience.
Candidates are not expected to cover every area . We value technical depth, experimental ability, curiosity, and the potential to develop into an independent researcher more than a perfect match to a checklist of technologies.
What We Offer
An ambitious interdisciplinary research environment. Work at the intersection of AI, embedded systems, sensing