Tenure Track positions for a Researcher in TinyML and Operational EdgeAI at Bruno Kessler Foundation
Tenure Track positions for a Researcher in TinyML and Operational EdgeAI at Bruno Kessler Foundation
Tenure Track positions for a Researcher in TinyML and Operational EdgeAI at Bruno Kessler Foundation
Tenure Track positions for a Researcher in TinyML and Operational EdgeAI at Bruno Kessler Foundation
Fondazione Bruno Kessler
Forschung
Hub
- Art der Beschäftigung: Vollzeit
- 44.500 € – 57.000 € (von XING geschätzt)
- Vor Ort
- Zu den Ersten gehören
Tenure Track positions for a Researcher in TinyML and Operational EdgeAI at Bruno Kessler Foundation
Über diesen Job
Bruno Kessler Foundation (FBK) is a private research institution devoted to excellence in research in numerous disciplines and designated to the role of keeping the Autonomous Province of Trento in the mainstream of European and international research. Each research area is assigned to a specific research centre, of which there are eleven totals. Information regarding the research centres, their activities and production is available at
https://www.fbk.eu/research-centers
.
The
Digital Industry Center
is one of the Centers of FBK. It focuses its research on digital technologies for the various domains in industry (e.g., manufacturing, aerospace, railway, automotive, energy, agriculture, manufacturing) by creating applications for critical systems, adaptive and autonomous systems, advanced perception, diagnostics, quality control, and prediction systems. Further research areas include precision farming, robotics, metrology, cultural heritage, and geomatics.
The OpenIoT research unit focuses on advanced research and development in the field of precision agriculture. Its mission is to design and deploy innovative solutions leveraging IoT technologies, cloud/edge-native architectures, AI-driven decision support systems, machine learning, and autonomous field robotics. The unit operates in close collaboration with international academic and industrial partners, contributing to both applied research and real-world impact. More information about the OpenIoT research unit is available at https://openiot.fbk.eu/ .
Job Description
The purpose of FBK’s Tenure Track programme is to offer high-level professionals a structured career path toward tenure, supporting the organization’s long-term strategy. FBK is recruiting a dynamic, highly motivated researcher to join the OpenIoT Research Unit and report directly to the Unit Head.
This position provides the opportunity to contribute to applied research and technology transfer in precision agriculture and related domains, with a focus on EdgeAI and the operationalization of Machine Learning on constrained edge devices (e.g., microcontrollers), including TinyML/TinyMLOps workflows and learning approaches under limited supervision.
The candidate will be expected to conduct high-quality research within the OpenIoT Unit’s research lines and contribute to its scientific output and financial sustainability.
The successful candidate is expected to:
The OpenIoT research unit focuses on advanced research and development in the field of precision agriculture. Its mission is to design and deploy innovative solutions leveraging IoT technologies, cloud/edge-native architectures, AI-driven decision support systems, machine learning, and autonomous field robotics. The unit operates in close collaboration with international academic and industrial partners, contributing to both applied research and real-world impact. More information about the OpenIoT research unit is available at https://openiot.fbk.eu/ .
Job Description
The purpose of FBK’s Tenure Track programme is to offer high-level professionals a structured career path toward tenure, supporting the organization’s long-term strategy. FBK is recruiting a dynamic, highly motivated researcher to join the OpenIoT Research Unit and report directly to the Unit Head.
This position provides the opportunity to contribute to applied research and technology transfer in precision agriculture and related domains, with a focus on EdgeAI and the operationalization of Machine Learning on constrained edge devices (e.g., microcontrollers), including TinyML/TinyMLOps workflows and learning approaches under limited supervision.
The candidate will be expected to conduct high-quality research within the OpenIoT Unit’s research lines and contribute to its scientific output and financial sustainability.
The successful candidate is expected to:
- Design, implement and validate TinyML/EdgeAI solutions targeting constrained devices, including robust deployment and update strategies across the model lifecycle.
- Develop and maintain operational TinyMLOps workflows for far-edge scenarios (automation, reproducibility, monitoring and continuous improvement).
- Investigate and evaluate unsupervised and weakly supervised approaches (e.g., anomaly detection) suited to real-world conditions and limited labels; contribute to high-quality scientific dissemination and mentoring of junior researchers.
- The candidate will work closely with other members of the research unit, and as needed with other units of the Center and external partners, contributing to research projects, technology transfer activities, and the dissemination of results in both academic and public venues.
FBK actively seeks diversity and inclusion in the workplace and is also committed to promoting gender equality.
Job requirements
Job requirements
- PhD in Computer Science, Computer Engineering, or equivalent degree.
- Proven expertise in EdgeAI and TinyML, including the deployment of Machine Learning models on constrained devices (e.g., microcontrollers).
- Demonstrated experience in operationalizing ML at the far edge, including TinyMLOps/MLOps practices for automation, reproducibility, deployment, update and monitoring.
- Experience with learning under limited labels, including unsupervised or weakly supervised methods (e.g., anomaly detection), supported by peer-reviewed outputs or comparable research results.
- Strong programming skills (e.g., Python) and experience with embedded-oriented development for constrained targets; ability to translate research prototypes into reliable software components.
- Experience in resource-aware optimization and performance characterization on microcontrollers and/or edge accelerators (latency, memory, energy).
- Proven experience in applied research and technology transfer projects with national and international partners, preferably with a leading role.
- A relevant record of publications in high-impact journals/conferences on EdgeAI/TinyML, edge computing and/or operational ML; good knowledge and proficiency in the English language.
Additional requirements :
- Demonstrated ability to lead applied R&D activities, supervise students/junior researchers and developers, and collaborate effectively in multidisciplinary teams.
- Good self-organization and ability to work autonomously.
- Experience in the preparation, writing and management of research and industrial project proposals.
- Experience with constrained execution environments for on-device ML (e.g., MicroPython or similar runtimes/toolchains) is a plus and will be considered only if supported by evidence, such as assets created, developed and maintained, and/or relevant scientific publications.
- Experience with industrial-grade operationalization of edge models (testing, monitoring, and safe rollout/updates) is a plus and will be considered only if supported by evidence, such as assets created, developed and maintained, and/or relevant scientific publications.
Employment
Type of contract : Tenure Track position leading to an FBK 3rd Level Researcher (R3) permanent contract.
Duration : The duration of the Tenure Track contract will be determined by the Committee based on the assigned KPIs (at least one year, which may be reduced in accordance with the Committee assessment on the candidate's abilities and skills). If the final assessment of the Tenure Track experience is positive, the selected candidate for the tenure track position will be offered a permanent R3 contract.
Working hours: full time (38 h per week).
Gross annual salary : 44.500 € (plus objectives achievement bonus).
Start date : May 2026
Workplace : Povo, Trento (Italy).
Benefits : flexi-time, company subsidised cafeteria or meal vouchers, internal car park, welcome office support for visa formalities, accommodation, supplementary pension and health found, training courses, public transport, sports facilities, language courses fees. Further details at https://www.fbk.eu/en/work-with-us/ .
The Bruno Kessler Foundation invests in people’s growth and promotes a stimulating environment that values talent. Through the Talent Development Program, each participant will be engaged in a tailored experiential journey designed to enhance skills, attitudes, and aspirations. Concrete tools for professional growth will be available, including personalized assessments to understand and develop individual potential, structured career paths to help shape the future, and development strategies within a dynamic and innovative scientific environment.
Application
Interested candidates are requested to submit their application by completing the online form ( https://jobs.fbk.eu/ ). Please make sure that your application contains the following attachments (in pdf format):
- Detailed CV;
- Motivational letter
- Statement of Research Interests
For further information or technical issues regarding the application, please contact the Human Resources Service at tenuretrack@fbk.eu .
Gehalts-Prognose
Unternehmens-Details
Fondazione Bruno Kessler
Forschung