Comparative Evaluation Procedure: Fixed-Term Technologist (Level A) Position in AI,University of Bozen-Bolzano
The University of Bozen-Bolzano (unibz) has officially launched a comparative evaluation procedure for the awarding of one fixed-term first-level (A) Technologist position in the field of Artificial Intelligence. Published under Decree No. 1492/2025 (November 1, 2025), this opportunity is embedded within the AI-Lab research project—a strategic initiative funded by the EFRE-FESR 2021–2027 Programme.
This role is ideal for skilled professionals with hands-on experience in AI development, data science, or intelligent systems who are eager to contribute to cutting-edge research in a multilingual, international academic environment.
Position Details
- Position Type: Fixed-term Technologist – Level A (First Level)
- Number of Posts: 1
- Duration: As per project timeline (linked to EFRE funding)
- Faculty: Faculty of Engineering
- Scientific Sector: IINF-05/A – Sistemi di elaborazione delle informazioni (Information Processing Systems)
- Research Project: AI-Lab – Laboratorio di Intelligenza Artificiale
- CUP: I53C23001670009
- Project Code: EFRE1047
- Funding: EFRE-FESR 2021–2027 (European Regional Development Fund)
- Supervisor: Prof. Giuseppe Di Fatta
- Official Call: Decreto 1492/2025 (PDF)
- Application Portal: EliX Forms – unibz
Eligibility Criteria – Strict Requirements Apply
Important: The call explicitly states:
“PLEASE APPLY ONLY IF YOU MEET ALL ADMISSION REQUIREMENTS PER ARTICLES 1 AND 2 OF THE CALL. OTHERWISE, YOU WILL BE AUTOMATICALLY EXCLUDED.”
1. Academic Qualification
Candidates must hold one of the following:
- A Specialized/Master’s Degree (Laurea Magistrale) in:
- Computer Science
- Engineering
- Physics
- Mathematics
- Statistics
- Biotechnology
- Philosophy
- OR an equivalent foreign degree recognized in Italy
- OR a pre-reform 4-year Italian degree (Laurea quadriennale, under D.M. 509/99)
2. Professional Experience (Minimum 3 Years)
Applicants must demonstrate at least three years of professional activity in one or more of the following AI domains:
- Cognitive Modeling
- Computer Vision
- Constraint Satisfaction & Optimization
- Data Mining & Knowledge Management
- Data Science
- Knowledge Representation & Reasoning
- Machine Learning
- Multiagent Systems
- Planning, Routing & Scheduling
- Speech & Natural Language Processing
Note: Experience must be professional, not solely academic or thesis-based.
Application Process – Step by Step
Applications must be submitted exclusively online via the EliX Forms portal . Paper or email submissions will not be accepted.
Required Documents (PDF/JPG format)
- CV (in PDF)
- Relevant publications or technical reports (PDF; optional but recommended)
- Copy of valid ID/passport (PDF or JPG)
- For non-EU citizens: Certified documents from your home country’s authorities to verify professional experience and qualifications
- Signed self-declaration (generated by the system) OR digitally signed application
Key Technical Notes
- Use Google Chrome or Mozilla Firefox (Internet Explorer is not recommended)
- All mandatory fields are marked with (*)
- The system allows you to save and return to your application
- Do not use the browser’s “Back” button—use “TORNA IN MODIFICA” to edit sections
- Deadline: Applications close at 12:00 PM (noon) on the final day—late submissions will be rejected
Evaluation & Selection
A dedicated Evaluation Committee will assess candidates based on:
- Academic background
- Relevance and depth of AI-related professional experience
- Technical publications or projects
- Alignment with the AI-Lab research goals
Shortlisted candidates may be invited for an interview or technical discussion, though the primary evaluation is document-based.
Why Join AI-Lab at unibz?
The Free University of Bozen-Bolzano is a trilingual (Italian, German, English) institution with a strong focus on applied research, innovation, and societal impact. The AI-Lab is part of a broader EU-funded initiative to strengthen South Tyrol’s digital ecosystem through:
- Collaborative R&D with industry partners
- Open-source AI solutions for public services
- Interdisciplinary projects in health, mobility, and sustainability
This Technologist role offers a rare chance to bridge research and real-world AI deployment in a supportive, forward-thinking environment.
Final Tips for Applicants
- Start early: Technical issues are common near the deadline
- Clearly map your experience to the listed AI domains
- Translate non-English documents.
Conclusion
This Technologist (Level A) position is more than a job,it’s an invitation to shape the future of AI in Europe. If you have proven expertise in machine learning, data science, or intelligent systems, and you’re ready to apply it in a dynamic academic setting, this is your opportunity.Review the official decree , prepare your documents, and submit your application before the deadline. Contact us for further help.
