Applied Researcher in AI & Machine Learning for Precision Agriculture

Overview The Digital Industry Center is one of the Centers of the Bruno Kessler Foundation (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 its research activities on gaining leading knowledge and supporting the design and creation of innovative, standard-based and interoperable IoT-based solutions. The unit’s main competencies cover enabling technologies for the IoT and developing cutting-edge tools, infrastructural solutions and related reference architectural models at the device, edge, and cloud levels. By using cutting-edge AI-based methodologies, the final objective is to make these devices self-configurable, more autonomous and thus enduring. In particular, the research activities focus on the following research topics: (1) Fog/Edge-based IoT services, platforms and infrastructures; (2) Edge analytics through adaptation of AI techniques to embedded devices; (3) IoT Decentralization through Blockchains. Such research and knowledge are complemented by hands-on competencies in relevant application domains and novel use cases, such as precision agriculture and industrial IoT. More information about the OpenIoT RU is available at https://openiot.fbk.eu/. Job Description The OpenIoT Research Unit is looking for an Applied Researcher to conduct applied research on Artificial Intelligence and Machine Learning techniques for Precision Agriculture. The position is aimed at developing and deploying predictive and decision-support algorithms in data-driven agricultural scenarios, including the integration of heterogeneous data sources (e.g., sensors, IoT platforms, satellite data). A focus on agent-based approaches will be considered positively if supported by strong scientific contributions. Responsibilities Carry out applied research on AI/ML methods for precision agriculture; Design and implement predictive models and data-driven decision support systems; Analyze heterogeneous datasets, including sensor, IoT, and remote sensing data; Collaborate with project partners (academic and industrial) in both national and international initiatives; Contribute to scientific publications, dissemination activities, and project proposals. Job Requirements The Ideal Candidate should have: Master’s degree in Computer Science, Computer Engineering, Mathematics, Physics, or related fields; Proven experience in developing and applying AI/ML techniques; Strong programming skills in Python and experience with major ML frameworks (e.g., TensorFlow, PyTorch); Proven ability to work in a team on code development (Git or similar tools); Ability to work autonomously and responsibly, also in contexts with minimal supervision, by achieving mid- to long-term goals; Excellent organizational and problem-solving skills; Proficiency in English (both written and spoken). Further evaluation elements PhD in ICT-related fields; Proven expertise in multi-agent systems and agent-based approaches, valued preferentially when supported by peer-reviewed publications or demonstrable assets; Experience in precision agriculture (datasets, use cases, real-world applications); Ability to contribute to the writing of European project proposals; Proven knowledge and use of remote sensing techniques as an analysis tool; Familiarity with geospatial pipelines, geospatial data management, and analysis. Employment Type of contract: Fixed Term Contract Working hours: full-time (38 h per week) Duration: 24 months Start date: December 2025 Gross annual salary: from 38,539.67 to 44,087.26 depending on background and expertise in the field, plus objectives achievements bonus. Benefits: flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome office support for visa formalities, accommodation, social security (SANIFONDS), family-work balance, free training courses, support on bank account opening, discount on public transport, sport, language course fees. More info at https://www.fbk.eu/en/work-with-us/ Workplace: Povo, Trento (Italy) Application Interested candidates are requested to submit their application by completing the online form. Please make sure that your application contains the following attachments (in pdf format): detailed (tailored) CV, including link to personal GitHub repository (or equivalent code portfolio); cover letter indicating why the candidate is suitable for this position (candidates are strongly encouraged to prepare their statement personally and thoughtfully; automatically generated texts will not be considered an added value); List of publications (if any); Names of two reference persons. Application deadline: Monday, 27th October 2025 J-18808-Ljbffr

Location: Trento, Trentino-Alto Adige, IT

Posted Date: 10/16/2025