The EveryWare Lab at the Department of Computer Science of the University of Milan in Italy is opening two PostDoc positions in the area of Pervasive Computing. 
The lab offers an enthusiastic and stimulating research environment at the forefront of research in this area, regularly publishing on top journals and conferences.
The PostDocs will work on two different topics within a new large project financed by the Next Generation EU package and focused on exploiting pervasive computing and AI for innovation in telemedicine applications.
Position A: Human activity recognition with applications to digital health. 
Position B: Classification of ultrasound images from mobile probes in real-world telemedicine systems. 
The positions are awarded for two years starting May 1st 2023 with possibility of extension. The salary is  competitive (with more details provided to interested candidates). 
Candidates requirements:
- Excellent written and spoken English
- PhD in CS or related area
- Solid CS background and programming abilities (Python, Java, mobile apps)
- Problem solving skills
- Ability to independently write papers and research proposals
- Advanced knowledge of the main data-driven paradigms for data analysis (Machine
learning, statistical analysis, data mining, decision support systems)
(for position A) - Advanced knowledge of the main sensor data processing techniques considering
mobile/wearable/IoT devices
(for position B) - Experience in developing complex software systems with mobile components.
Interested candidates are welcome to send a detailed CV in English including a detailed track of their work, teaching, and research experience as well as a motivation letter to 
This email address is being protected from spambots. You need JavaScript enabled to view it. (for position A)
This email address is being protected from spambots. You need JavaScript enabled to view it. (for position B)
Up to two additional reference letters by recognised experts will be favourably considered.
Deadline for sending the CV: February 15, 2023


Two papers have been accepted at the 20th IEEE PerCom conference which will take place in Pisa from 21st to 25th of March:

  • The paper "FedCLAR: Federated Clustering for Personalized Sensor-Based Human Activity Recognitionby Riccardo Presotto, Gabriele Civitarese, and Claudio Bettini has been accepted as a full paper at IEEE PerCom main conference. 
  • The paper "Preliminary Results on Sensitive Data Leakage in Federated Human Activity Recognition" by Riccardo Presotto, Gabriele Civitarese, and Claudio Bettini has been accepted at CoMoRea workshop, a satellite event co-located with the PerCom conference.

The paper "ProCAVIAR: Hybrid Data-Driven and Probabilistic Knowledge-Based Activity Recognition" by Claudio Bettini, Gabriele Civitarese, Davide Giancane, and Riccardo Presotto has been accepted for publication on IEEE Access.

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