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[jobs] PhD Position on "Advanced sensing and wearable feedback devices for rehabilitation and assessment" at the University of Pisa

The Department of Information Engineering (DII) of the University of Pisa is opening multiple PhD positions in different disciplines. 

Among the positions available, there is one on the "Design and validation of advanced sensing and wearable feedback devices for rehabilitation and assessment".

The envisioned activities for this position, financed by  Italian PNRR funds within the program "Innovation Systems'', which brings together all the main Universities of Tuscany (Firenze, Pisa, Siena, Scuola Superiore Sant'Anna) and several companies working in the field of "Robotics and automation for health" , will include the design and validation of advanced wearable postural and tactile solutions, as well as of haptic feedback devices, to be used to empower robotics-enabled prosthetic and rehabilitation solutions, to advance current assessment procedures, to study human sensory-motor integration in physiological and pathological conditions. The activities will be performed in collaboration with the Bioengineering and Robotics Research Center "E. Piaggio" of the University of Pisa.

 

Ideal candidates should hold a MSc in Robotics, Bioengineering, Mechanical, Information Engineering (the academic qualification should be obtained by 31 October 2022), with a good background in one or multiple of the following areas; haptics and robotics; sensors; mechatronics; programming. Knowledge of human studies and the human sensory-motor system could represent a plus.

 

Additional information on this position and the selection process can be found here https://dottorato.unipi.it/images/stories/competition2022_2023/concorsi_b_eng/ing_info01_b_eng.pdf.

 

The application procedure is described here https://dottorato.unipi.it/index.php/en/application-process-for-the-academic-year-2022-20232/item/676.html

 

The deadline is August 23, 2022 h 13:00 (Italy Time)

 

About the Department of Information Engineering (DII) and the Bioengineering and Robotics Research Center "E. Piaggio" of the University of Pisa

 

The Department of Information Engineering (DII) of the University of Pisa (Italy) is an Excellence Center for Research and Higher Education in the field of Information and CommunicationTechnology (ICT), Robotics and Bioengineering.
 85 professors and 40 post-doc are member of the Department. The main research fields include Electronics, Applied Electromagnetism, Communication Systems, Information Engineering, Automation and Robotics and Biomedical Engineering. DII has promoted six spin-off projects, and it cooperates with private and public institutions to provide innovative solutions to key issues in different ICT sectors, and to bridge the gap between academic and industrial research. The Department is involved in about 20 European projects (49 in the last three years), 2 ERC, 22 Regional Projects.

It runs an intense activity in Higher Education for about 4000 students and 90 PhD students.
In 2018 DII was selected by the Italian Minister of Education as "Department of Excellence" with the project CrossLab, aiming to support the revolution of Industry 4.0 in Italy by creating interdisciplinary research labs open to big, medium and small-sized enterprises.

 

The Research Center “E.Piaggio” of the University of Pisa is one of the oldest interdisciplinary research and technology transfer centers in Europe, devoted to the training of personnel for careers in Research and Development. Since its foundation in September 1965, the Center has paved the way for the convergence of minds by bringing together scientists from different fields of knowledge, ranging from engineering to mathematics, medicine and psychology, organising interdisciplinary research towards applications in Bioengineering and Robotics. The Enrico Piaggio Centre has long standing experience in managing contracts with international, EU, and industrial partners. The Center is The group is among the originators of the modern approach to physical human-robot interaction and advanced human-machine interaction, with a particular attention to the study of hands and haptics, human tactual perception, wearable sensing.