Within Piano Nazionale Complementare al PNRR (PNC) initiative FBK is looking for a research position in the field of Geospatial Machine Learning




Funding reference 

Progetto Bandiera PNC-A.1.3 “Digitalizzazione della Pubblica Amministrazione della Provincia Autonoma di Trento” – Ambito 1 – “AI data: Intelligenza artificiale nel sistema della PA”, CUP C49G22001020001
 

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.

FBK is internationally renowned for its research on Artificial Intelligence (AI), thanks to its 30+ years of experience in this field and its contributions in artificial vision, language processing, speech, machine learning, predictive models, automated planning and acting, knowledge representation, formal methods, and intelligent user interfaces. 

In the scope of the regional Flagship Project on the "PNC-A.1.3 - Digitalization of the Public Administration of the Autonomous Province of Trento", FBK is leading the activity on “AI Data: Artificial Intelligence in the Public Administration System” (hereafter: PNC-A.1.3 - Prog. Bandiera - AIxPA). The goal is to define and validate a solution able to address in a systematic way the needs of AI by the Public Administration. The project requires to identify and further develop AI methods and techniques, including innovative ones, to integrate them into an AI software platform, and to experiment this solution on relevant use cases identified with the Autonomous Province of Trento. 

Workplace Description

The Digital Society Center of FBK (https://digis.fbk.eu/) embraces the vision that digital technology has a pervasive impact on our lives and is reshaping our society. The challenge is to ensure that digital technology becomes a stepping stone to create a more sustainable, inclusive and secure society. In the Digital Society Center, this goal is achieved both by performing advanced research in key areas such as AI, Big Data, IoT, 5G, and by exploiting living labs and partnerships with companies to experiment innovative solutions able to meet key societal challenges. The center is composed by a multidisciplinary team of researchers, technologists and managers (including PhD students) organized in 9 research units dedicated to specific research areas in the ICT domain and 2 support units focusing on project management and technology maturation. The Digital Society Center has a vast experience in collaborative research, currently participating in more than 40 European and national projects and coordinating 5 of them.

FBK's Digital Commons Lab (DCL) is focusing on enhancing geospatial data management through a new open position. Specializing in the development and analysis of digital commons based on open data, DCL emphasizes creating and managing data spaces that facilitate the sharing and collaborative use of geospatial data. Key projects include the enhancement of platforms like OpenStreetMap, which are crucial for crowdsourcing and sharing geospatial data. DCL aims to foster community growth and facilitate dialogue between public administrations, businesses, and citizens, with a strong focus on geospatial data applications in areas such as digital transformation, smart cities, and mobility. For more details, visit https://dcl.fbk.eu.

 

Background information and description of research projects

This position is offered within the regional Flagship Project PNC-A.1.3 - Prog. Bandiera - AIxPA. In particular, the activities of the project will focus on pioneering the development of AI models that integrate remote sensing data, government data, and corporate data, along with citizen-generated content. These innovative tools are designed for mapping and feature extraction to significantly enhance decision-making processes for civil protection services, focusing on prevention and emergency management. The role includes a strong emphasis on validating these groundbreaking technologies in real-world scenarios. Collaborating with government and community stakeholders will be crucial to tailor and refine these tools. Moreover, the researcher will drive the advancement of this field by actively publishing research findings.

 

Job Description

FBK’s Digital Commons Lab (DCL) is seeking a highly skilled Geospatial Machine Learning Researcher to join our innovative team. The candidate will contribute to cutting-edge research and development projects focusing on the fusion of remote sensing data and citizen science information to enhance geospatial data management and applications.

The main activities for the role will be::

  • Develop and implement machine learning models to analyze and integrate heterogeneous geospatial data, including Earth Observation (EO) data and Volunteered Geographic Information (VGI).
  • Enhance tools for automatic mapping of geographic features, leveraging citizen science data and advanced machine learning techniques to improve data accuracy and usability.
  • Collaborate with a multidisciplinary team to design solutions that address challenges in digital transformation, smart cities, and mobility.
  • Engage in the whole/entire project lifecycle, from data preprocessing to model development and validation.
  • Publish and disseminate research findings in top-tier AI and geospatial conferences and journals.

Job requirements

The ideal candidate should have

  • PhD in Computer Science, Geoinformatics, Information and communication technologies, or a related field with a strong emphasis on machine learning and geospatial analysis.
  • Demonstrable experience with deep learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Proficient in handling remote sensing data, GIS, and citizen-generated data (e.g., OSM).
  • Good programming skills in Python or similar languages.
  • Good publication record  in relevant AI and geospatial journals or conferences.
  • Excellent problem-solving abilities and a proven track record of innovative research contributions.
  • Capability to work in a project-oriented manner, with a strong commitment to achieve the assigned objectives;
  • Languages (CEFR): Fluent Italian (C1) and knowledge of English that 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;
  • Teamwork approach, good communication and relational skills.

Preferred Experience:

  • Experience in projects involving large-scale data fusion, segmentation tasks, and the use of VGI noise handling.
  • Familiarity with challenges in mapping and analyzing man-made infrastructure using AI technologies.

The candidate will have the possibility to work in collaboration with PhD students, other researchers in the DCL and DigiS center, as well as with other partners in the AIxPA project. Additionally they can develop their own specific research directions in accordance with the strategies of the Research Unit and the DigiS Centre.  Furthermore, we expect the successful candidate to contribute to maintain a strong role of FBK in the Italian and international targeted research communities.

The activities will be carried out within the scope of PNC-A.1.3 - Prog. Bandiera - AIxPA.

Employment

Type of contract: fixed-term contract 

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

Start date: July 2024

Duration:16 months 

Contract type: CCPL Research Foundation Personnel (https://trasparenza.fbk.eu/ita/Personale/Contrattazione-collettiva/Rinnovo-CCPL-delle-Fondazioni) the current gross annual remuneration is from € 36.256,13 to € 41.475,00 depending on the background of the candidate.

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/

Application

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: 3th of June 2024
 

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
PNRR
Business Unit
Centro Digital Society
Locations
Science and Technology Hub - Trento