Borse di studio a tematica specifica

“Human-Computer Interaction: narration and deliberation” financed by the Fondazione Bruno Kessler- FBK

The research project will investigate narration and deliberation as interactive tools for learning in formal and informal settings. The candidate will explore theoretical aspects and design opportunities in different fields.

Skills partially required and partially to be acquired during the research work period): Knowledge about interaction design (user needs elicitation, design concept, ideation, etc.), evaluation of technologies (experimental design, field observations, qualitative and quantitative analysis, etc.) as well as limited but effective programming skills to develop prototypes to test research ideas.

Responsible of the Project:
Massimo Zancanaro: zancana [at]

"Social inclusion and peer support in ICT for physical-mental wellbeing " financed by the Fondazione Bruno Kessler- FBK

A growing body of research suggests that ICT can be leveraged to provide support to different segments of the population affected by medical conditions or that could benefit from prevention programs. The majority of research and innovation initiatives, however, focus on solutions targeting the individual user, often overlooking the importance of the social dimension and support provided for example by networks of peers.  The aim of this PhD project is to explore the role of ICT-supported networks in healthcare and wellbeing. Through the analysis of case studies in the field of active ageing and mental health/wellbeing, the project will focus on personalized plans of care for rehabilitation and cognitive decline prevention. In particular, it will investigate how technologies can offer innovative tools and forms of interventions to key actors involved in the care management and assistance loop, allowing more effective communication and integration over social inclusion and peer support practices, conceived as situated care activities and social processes involving networks of heterogeneous actors.

Skills (partially required and partially to be acquired during the research work period): Knowledge about CSCW and HCI (user needs elicitation, evaluation, etc.) and organizational analysis (context analysis, organizational re-design, etc.). A background of qualitative methodology techniques is a plus. It is essential the ability to work as part of a multidisciplinary team composed of computer scientists, social and cognitive scientists, clinical experts and software developers.

Responsibles of the Project:
Silvia Gabrielli: sgabrielli [at]
Enrico Maria Piras: piras [at]
Massimo Zancanaro: zancana [at] fbk.ue

”Deep learning for data integration and reproducibility in autism research " financed by theFondazione Bruno Kessler– FBK

The challenge of this project is introducing Deep Learning as a novel modeling framework in Autism research, with a focus on the automatic extraction of complex behavioural patterns and indicators useful to improve interaction, emotional and cognitive development by means of wearable sensors and other signals. The project will develop deep learning methods solutions for tracing fine movements, quantifying stereotypic patterns, identify indicators of sinchrony of key interest to improve treatment and life quality of children with Autism Spectrum Disorders. A specific attention to reproducible research (e.g. adoption of databases for psychopathological and behavioural data, modular and well described processing methods, automatic association to phenotype data, experimental adoption in real contexts) will characterize the project.
Skills (partially required and partially to be acquired during the research work period): We look for a candidate strongly motivated in interdisciplinary research, with interest both in psychopathology and machine learning methods. Competence in statistical computing and data science methods (e.g. knowledge of Python, experience in interdisciplinary collaborations, data preprocessing) will be required to efficiently analyze psychological data, develop a large scale data collection solution and progressively build the deep learning framework. Skills in statistical machine learning and basic knowledge of deep learning algorithms will also be positively considered. Availability to work in joint assignment at two laboratories (Rovereto and Trento)  is required.

Responsible of the Project:
Cesare Furlanello: furlan [at]
Paola Venuti: paola.venuti [at] 

"Sperimentazione di metodologie educativo-didattiche inclusive in ottica comparativa tra Italia e Brasile (cross-cultural research)” finanziata da Edizioni Centro Studi Erickson – Trento

Il lavoro di ricerca avrà come focus principale quello di comparare le metodologie educativo-didattiche inclusive, rivolte ad alunni con disabilità, difficoltà e altre tipologie di Bisogni Educativi Speciali all’interno di due precisi contesti scolastici e culturali, quello brasiliano e quello italiano. In particolare gli approcci metodologici di interesse saranno quelli non solo specifici per le varie forme di disabilità/difficoltà, ma quelli che possono essere “agiti” a livello di contesto classe e scuola come, ad esempio, l’attenzione al lavoro sul versante cognitivo, a quello emotivo-motivazionale, all’uso di strategie di facilitazione visiva e organizzazione del materiale da apprendere (schemi, mappe e aiuti visivi), all’adattamento e alla semplificazione dei libri di testo/materiali didattici, all’impiego della risorsa “compagni di classe” (apprendimento cooperativo e tutoring), agli aspetti legati a feedback e valutazioni, alla metacognizione e al metodo di studio, all’uso delle tecnologie in ottica inclusiva, alle metodologie educativo-didattiche innovative, ecc.

Skills (parzialmente richiesti e in parte da acquisire durante il periodo di  ricerca):Conoscenza delle varie forme di disabilità e altri BES e della prospettiva di funzionamento della persona secondo il modello bio-psico-sociale ICF; Conoscenza dei principi cardine della pedagogia e didattica speciale in ottica inclusiva; conoscenza dei principali approcci educativo-didattici inclusivi e dei loro principi applicativi; conoscenza del contesto scolastico e delle figure chiave di tale contesto, con particolare riferimento al sistema scolastico italiano e brasiliano; capacità di comparare diversi sistemi educativo-didattici ed evidenziarne “punti di forza” e di “debolezza” / criticità ed evidenziandone possibili aspetti di adattamento / miglioramento; conoscere e saper applicare strumenti di rilevazione e (auto)miglioramento della qualità inclusiva della scuola.
Buona conoscenza (livello intermedio) della lingua portoghese parlata e scritta.

Responsabili del Progetto:
Dario Ianes (Libera Università di Bolzano e Centro Studi Erickson, Trento): dario.ianes [at] 
Lucia De Anna (Università di Roma “Foro Italico”): lucia.deanna [at] 
Paola Venuti (Università di Trento): paola.venuti [at] 

The PhD student awarded the scholarship financed by FBK is obliged to maintain confidentiality in regard to the disclosure and use of any information, data, software, discovery, invention, idea, method, process (in any format including the source code) or other knowledge discovered, conceived, developed and/or implemented within the research activities financed relatively not only to the object of the PhD scholarship awarded to the PhD student, but also to possible changes made to the object of the grant as agreed with FBK.

Corso di dottorato in Scienze Cognitive
corso Bettini, 84 - 36068 Rovereto (TN)
+39 0464 808610