Within Piano Nazionale Complementare al PNRR (PNC) initiative FBK is looking for a researcher positions in the field of Data Science for Digital Health

Funding reference 

PNC0000001 - D3-4-Health - Digital Driven Diagnostics, prognostics and therapeutics for sustainable Health care


CUP B53C22006000001

Avviso MUR nr. 931 di data 6/6/2022 

PNC: Piano nazionale per gli investimenti complementari al PNRR - Avviso per la concessione di finanziamenti destinati ad iniziative di ricerca per tecnologie e percorsi innovativi in ambito sanitario e assistenziale

Responsabile del Procedimento: Alessandro Dalla Torre


FBK is a 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 Center, of which there are eleven totals. Information regarding the research Centers, their activities and production are available at http://www.fbk.eu/research-centers.


The Digital Health & Wellbeing Center is one of the Centers of the Bruno Kessler Foundation (FBK). The activities of the Center for Digital Health & Wellbeing mainly concern scientific research of excellence in the field of Computer Science and AI techniques and methodologies for health and healthcare, as well as social and technological innovation for a relevant impact on both the local community and nationally and internationally.


Workplace Description

The Data Science for Health (DSH) Research Unit focuses on the design, the development, and the implementation of predictive models for the life sciences. In particular, statistical machine learning and deep learning algorithms are applied to integrated health data such as Electronic Health Records (EHR), different levels of -omics data and bioimages of diverse nature, from CT, PET, MRI scan to Digital Pathology WSIs. We aim to create novel mathematical methods and ICT platforms connecting physiopathological patterns of disease with high dimensional data now available for Functional Genomics (e.g DNA microarrays, SNPs, proteomics, Deep Sequencing), with clinical and imaging data and geodatabases of environmental factors and socio-demographic data.


Background information and description of research projects

These positions are offered within Within Piano Nazionale Complementare al PNRR (PNC) initiative, within which FBK has proposed the project "Digital Driven Diagnostics, prognostics and therapeutics for sustainable Health care" (D3-4-HEALTH). The mission of the project is to deliver highly technological solutions that will impact the management of 5 reference diseases. D3-4-HEALTH will fundamentally transform and advance current methodologies for the diagnosis, monitoring and therapy of the reference diseases facilitating the deployment of precision medicine approaches through the development of the digital and biological twins, for the benefit of  patients. D3-4-HEALTH will escalate and deploy innovative and non-invasive technologies and solutions, based on the analysis of digital and digitized healthcare data.


Job Description

FBK is looking for candidates to cover a position of Researcher with a dynamic, highly motivated, researcher in the field of Data Analytics for Digital Health for the DSH Unit of Digital Health and Wellbeing Center. 


The role requires good knowledge of Linux operating systems, together with a solid foundation of end to end server management, from the set up to the daily management of the service. Furthermore, the candidate should master the IT skill needed for the construction of end-to-end pipelines to be run on different computational facilities and the inclusion of external Python code into existing infrastructures. The candidate will work in close collaboration with the scientific staff, so a basic knowledge of machine learning concepts would be advisable. 


Typical tasks will include:

  • Support the project team in the development and the integration of the infrastructural (Microsoft) platform of D3-4-HEALTH;
  • Manage the computing cluster infrastructure that is being funded and purchased in the context of D3-4-HEALTH for the activities carried out in the context of the Joint Laboratory held between FBK and Azienda Provinciale per i Servizi Sanitari of the Autonomous Province of Trento (APSS), in particular with the Operative Unit of Pathological Anatomy, for the development of predictive models of Digital Pathology and the generation of Synthetic Data;
  • User support regarding operation in High Performance Computing (HPC) environment;
  • Manage remote computing servers to be used by the team in a research setting.

Job requirements

The Ideal Candidate should have: 

  • PhD Degree or equivalent 3 years post-master experience in areas related to Computer Science;
  • Basic knowledge of the main concepts of machine learning and deep learning;
  • Advanced Linux knowledge (distributions, installing new Operating Systems, service management, containers, package installation, network configuration and scripting);
  • Experience in computer network (protocols, advanced network configuration and switch management);
  • Queueing system configuration and administration for HPC configurations (installation, management, notion of distributed computing on  CPU and GPU, network file system and user support in job execution on HPC solutions);
  • 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 https://www.coe.int/en/web/common-european-framework-reference-languages/level-descriptions;
  • Experience in working for research projects;
  • Teamwork approach, good communication and relational skills;
  • Time management, planning, and development skills.
  • Accuracy, flexibility, proactivity, and goal orientation.


Type of contract: fixed-term contract 

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

Start date: January 2024

End date: until 30th November 2026. The duration of the contract is limited to the completion of activities pertinent to the specific research project and in any case to the research project itself. 

Contract type: CCPL Research Foundation Personnel (https://trasparenza.fbk.eu/ita/Personale/Contrattazione-collettiva/Rinnovo-CCPL-delle-Fondazioni) for a third  level Researcher, the current gross annual remuneration is Euro 41.475. 

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



Interested candidates are requested to submit their application by completing the online form (https://hr.fbk.eu/en/jobs). 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: 13th November 2023
New application deadline: 30 November 2023


Selection process and assessment criteria

The Evaluating Committee will be appointed by the  HR 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 PNCguidelines  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 recruitment process will be based on the total points obtained by the evaluation of the qualifications/ expertise and  the evaluation of the interview. 

A maximum of 40 points will be allocated for qualifications and expertise that the candidate expresses on the resume, while the interview will be worth up to 60 points.

The interview scores will be assigned to candidates by the Commission according to the following criteria: the presentation of their personal research profile; the knowledge about the scientific domain, the experience in working for research projects and the language skills.

Only candidates obtaining at least 25 points in the evaluation of the qualifications and the expertise will be admitted for the interview.

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 Human Resources Services at jobs@fbk.eu

Recruitment Type
Business units
Centro Digital Health& Wellbeing
Science and Technology Hub - Trento