FBK is looking for a Software Developer in the field of Machine Learning and Deep Learning for [...]

European Commission; Italia; In loco; EUR 35.000 - 45.000; Tempo pieno

Descrizione del lavoro

The European Commission is seeking a dedicated researcher to support innovative AI and deep learning projects at the Fondazione Bruno Kessler in Italy. This role offers the opportunity to engage in cutting-edge research in machine learning, contributing to solutions that enhance digitalization in public services.

Servizi

Flexi-time

Company subsidized cafeteria

Internal car park

Supplementary pension

Health fund

Free training courses

Discount on public transport

Competenze

• Experience in machine learning and deep learning.
• Ability to work in research projects.
• Knowledge of Python programming language.

Mansioni

• Support research and development activities in the area of machine learning.
• Focus on predictive process monitoring and deep learning techniques.
• Contribute to research in generative models and explainability.

Conoscenze

Machine learning

Deep learning

Python

Problem-solving

Teamwork

Communication

Formazione

PhD in relevant discipline

Descrizione del lavoro

Organisation/Company Fondazione Bruno Kessler Department Unità People Innovation Research Field Computer science Researcher Profile Other Profession Positions Master Positions Country Italy Application Deadline 16 Jun 2025 - 23:55 (Europe/Rome) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Offer Starting Date 15 Jul 2025 Is the job funded through the EU Research Framework Programme? NextGenerationEU Reference Number B67H22005810008 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Funding reference

PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR)

CONVENZIONE DI SOVVENZIONE PER LA REGOLAMENTAZIONE DEI RAPPORTI DI ATTUAZIONE, GESTIONE E CONTROLLO RELATIVI AL PROGETTO “DIPS – Digitalization and Innovation of Public Services

CUP “B67H22005810008”

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 http://www.fbk.eu/research-centers .

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.

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: https://pdi.fbk.eu/

Background information and description of research projects

The activities related to this position will be carried out mainly within the DIPS project ( https://www.dipsproject.it/ ), 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). EDIHs aim to accelerate the digital transformation of small and medium-sized enterprises (SMEs) 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 SMEs and PAs 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 ( https://pdi.fbk.eu/ ) 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:

• Experience in machine learning and deep learning;
• Ability to work in research projects;
• Knowledge of Python programming language;
• 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 (LLMs) and retrieval-augmented generation (RAG) techniques

Employment

Type of contract: fixed-term contract

Working hours: full-time (38 h per week)

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 https://www.fbk.eu/en/work-with-us/

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;
• cover letter indicating why the candidate is suitable for this position.

Selection process and assessment criteria

The Evaluating Committee will be appointed by the People Innovation for Research Directorat 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 CVs 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 https://jobs.fbk.eu/ 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 [e-mail] .

The ideal candidate must have the following requirements:

• Experience in machine learning and deep learning;
• Ability to work in research projects;
• Knowledge of Python programming language;
• 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 (LLMs) and retrieval-augmented generation (RAG) techniques

Languages ENGLISH Level Good

Research Field Computer science

Additional Information

Employment

Type of contract: fixed-term contract

Working hours: full-time (38 h per week)

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 https://www.fbk.eu/en/work-with-us/