FBK is looking for a Software Developer in the field of Machine Learning and Deep Learning for the Augmented Intelligence Centre; this position is funded by the National Recovery and Resilience Plan (PNRR)

Funding reference
PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR)
MISSIONE 4 “ Istruzione e ricerca” - COMPONENTE 2 “ Dalla ricerca all’impresa”
INVESTIMENTO 2. 3 “ Potenziamento ed estensione tematica e territoriale dei centri di trasferimento tecnologico per segmenti di industria”
CONVENZIONE DI SOVVENZIONE PER LA REGOLAMENTAZIONE DEI RAPPORTI DI ATTUAZIONE, GESTIONE E CONTROLLO RELATIVI AL PROGETTO “DIPS – Digitalization and Innovation of Public Services
CUP “B67H...”
Responsabile del Procedimento: Alessandro Dalla Torre
Fondazione Bruno Kessler (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 twelve totals. Information regarding the research Centres, their activities and production are available at .
In particular, the FBK Augmented Intelligence Center aims to combine the strengths of human intelligence and artificial intelligence so as to increase their potential. Its highly innovative research leverages FBK's established expertise in AI, and emphasizes interaction and collaboration between humans and machines from a human-centered perspective. More information is available at
Workplace Description
The candidate will be working in The Process and Data Intelligence (PDI) Research Unit.
PDI Research Unit is a vibrant research group in the dHWB Centre that focuses around two main research and innovation areas. The first one concerns process mining. It consists of technologies and tools to discover, analyse, predict and validate business processes and event logs, especially when they are enriched with data objects. The second is centered on knowledge discovery and information retrieval and consists of technologies and tools for supporting the discovery of knowledge from data and content, with particular emphasis on semantic based sentiment analysis and opinion mining. More information about the PDI Research Unit is available at:
Background information and description of research projects
The activities related to this position will be carried out mainly within the DIPS project (), focusing on the deployment of innovative solutions based on artificial intelligence and deep learning, and their validation in real industrial environments.
DIPS – Digitalization and Innovation of Public Services project obtained the “ Seal of Excellence” from the European Commission as a project of excellence that participated in the context of the Digital Europe Program for the creation of a network of European Digital Innovation Hubs (EDIH). EDI Hs aim to accelerate the digital transformation of small and medium-sized enterprises (SM Es) and public administration. DIPS, as a Seal of Excellence and as a beneficiary of national funding with PNRR funds, is therefore part of this network.
DIPS will offer services to SM Es and P As for their digital transformation in Artificial Intelligence and Cybersecurity. These services, designed to support businesses at every stage of digital transformation and innovation, offer a complete approach that goes from the conception to the implementation of technological strategies, while ensuring protection and sustainability.

Depending on organizational needs, the selected candidate may also be involved in additional activities or projects within the Centre.
Job Description
The successful candidate is expected to support research and development activities in the area of machine learning and predictive process monitoring, with a focus on understanding the unfolding of temporal sequences of events. In addition to working with state-of-the-art deep learning techniques for time-based predictions, the candidate will also have the opportunity to contribute to research and development in the areas of generative models, prescriptive models, and explainability.
The PDI () group in which the candidate will conduct research activities is one among the most active and lively groups in the process mining field in Europe with several international collaborations and exchanges.
Job requirements
The ideal candidate must have the following requirements: Master degree in Computer Science; Experience in machine learning and deep learning; Ability to work in research projects; Knowledge of Python programming language; Language assessment according to the Common European Framework of Reference for Languages (CEFR): level of knowledge required. Knowledge of English will be verified during the interview on a technical or scientific topic and must be equal to or exceed level B2. Definitions of levels can be found at the following link ; Ability to work in a collaborative environment, with a strong commitment to achieve assigned objectives and to realize practical applications; Teamwork approach, good communication and relational skills; Aptitude for problem-solving.
Furthermore, the following elements will be positively evaluated: A PhD degree in discipline relevant to this position; Experience as a software developer; Experience with recursive neural networks; Familiarity with large language models (LL Ms) and retrieval-augmented generation (RAG) techniques
Employment
Type of contract: fixed-term contract
Working hours: full-time (38 h per week)
Start date: July 2025
Duration: 12 months
Contract type: CCPL Research Foundation Personnel ( Personale/ Contrattazione-collettiva/ Rinnovo-CCPL-delle- Fondazioni) for a fourth level technologist , the current gross annual remuneration is Euro 38. 539,67
Workplace: Povo, Trento ( Italy)
Benefits: flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome office support for visa formalities and for research in accommodation, supplementary pension ( Resaver, Laborfonds) and health fund ( Sanifonds), family-work balance, free training courses, support on bank account opening, discount on public transport, sport, language course fees, counseling and psychological support service. More info at
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 CV; cover letter indicating why the candidate is suitable for this position.
Application deadline: 16/06/2025
Selection process and assessment criteria
The Evaluating Committee will be appointed by the People Innovation for Research Director at the end of the application deadline.
The recruiting process will be handled in accordance with the “ Gender and generational equal opportunities, as well as the employment inclusion of people with disabilities in public contracts financed with the resources of the PNRR and PNC” guidelines and with the Foundation's Gender Equality Plan.
The Committee may compile the short-list of the candidates admitted to the interview, remotely or in presence. The short-list shall be compiled based on the requirements set out in the call (contained in the requirements of the job description), with the support of the screening of C Vs and any other required documents.
Candidates with a minimum score will be admitted to the interview phase. Shortlisted candidates must do at least one interview with the Committee.
In case of specific need, the Selection Committee can also meet remotely, by teleconference or videoconference, provided that all members can be identified and that they are able to follow and intervene in the discussion, as well as to receive, transmit and view documents.
During the evaluation step, evaluation support tools such as tests or questionnaires may be used. Furthermore, group tests and/or practical tests may be administered.
Evaluation criteria
The selection process includes two evaluation moments led by the Commission: the screening and the interview phase.
The screening process will be based on the evaluation of the qualifications and expertise that the candidate expresses on the resume. A maximum of 40 points will be allocated to this assessment phase and only candidates obtaining at least 25 points will be admitted to the interview.
The interview scores will be assigned to candidates by the Commission according to the following criteria: the presentation of their professional profile; the knowledge about the technical domain, the experience in working for research projects and the language skills.
A maximum of 60 points will be allocated to this assessment phase. The interview is considered as “passed” if the applicant obtains at least 45 points. The final score will be used to generate the final suitability list for each job position.
Results of the selection process
All candidates will be notified via email once the selection process has been completed.
The suitability list may be used to fill the position in case the successful candidate doesn’t accept the job offer.
At the website in the " Selection results" section, will be published the details of the selection process and the final results.
Diversity & Inclusion policy
FBK actively seeks diversity and promotes inclusion in the workplace. The main aims of the FBK Diversity & Inclusion policy are to: promote gender equality across the research domains and on all levels by encouraging qualified female candidates to apply for job positions and by implementing specific improvements and measures as stated in the Gender Equality Plan (GEP) foster young talents development by offering opportunities to grow become a disability-inclusive organization by encouraging applications from candidates with a disability ( Law 68/99). We provide special assistance to applicants during the recruitment procedure and reasonable arrangements for disabled staff promote a healthy work-life balance by offering a package of flexible working arrangements and facilities (telework, individual working time, parental leave, etc).
The FBK operates in compliance with current legislation concerning fixed-term contracts. Candidates with disabilities are invited to state whether they belong to the categories referred to in Law 68/99, and to indicate this in the curriculum vita sent in application for recruitment.
Processing of personal data
Pursuant to art. 13 of EU Regulation No. 2016/679 (GDPR), we inform you that your personal data shall be processed for the management of the selection process and of the obligations connected to it, through manual, electronic and informatic means and will be guaranteed within privacy and security standards as indicated in the full privacy policy. In order to ensure and respect the principles of publicity, transparency and impartiality, the name of the successful candidate and the names of suitable candidates will be published on the FBK website following acceptance of the position.
For further information, please contact the People Innovation for Research Department at jobs@fbk. eu.