DAUSY PhD research program

DAUSY PhD research program

The National Ph.D. Program in Autonomous Systems

📣 OPEN POSITION 📣 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗣𝗵𝗗 𝗶𝗻 𝗖𝗮𝘂𝘀𝗮𝗹 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 [𝗦𝗰𝗵𝗼𝗹𝗮𝗿𝘀𝗵𝗶𝗽]

3 years fully paid Scholarship – Industrial PhD in Causal machine learning 

 

  • 3 years fully paid scholarship
  • 12 months of industrial experience in a leading company
  • 6 months study and research at Technische Universität Darmstadt (Germany)
  • 12K Euros extra funding for personal support
  • Deadline for application: September 12, 2022
  • Starting date: November 1, 2022

SUMMARY

The Altair Robotics Laboratory at the University of Verona invites applicants from aspiring Ph.D. students with a focus on algorithms for machine learning and causal inference.

The project is entitled “Causal representation learning for time series monitoring in continuous food manufacturing processes”.

The goal is to implement causal machine learning techniques to control and optimize continuous manufacturing productions within a plant-wise approach.

The candidate will be supervised by Professor Paolo Fiorini and co-supervised by Diego Dall’Alba.

 

RESPONSIBILITIES

The candidate should be highly motivated and interested in undertaking innovative and challenging research activities involving both theoretical analysis and experimental validation, in strong connection with an Italian company, specialized in processed food manufacturing, which will be the final user of the applications.

Technical and soft skills are strongly required to meet, during the research, a continuous trade-off between industrial needs and research challenges.

 

QUALIFICIATIONS

Applicants must hold a master’s degree in Computer Science or Engineering, with a good background in design, analysis, and implementation of ML algorithms or areas related to data driven modeling. Solid statistical and coding skills are necessary. Proficiency in both spoken and written English is required.

 

ABOUT THE SCHOLARSHIP

This scholarship is part of the National Doctoral program (Ph.D.) in AUtonomous SYstems (DAUSY) (Scholarship n°33).

The grant provides, in addition to the monthly salary, funding for a research period abroad of 6 months with the prestigious Technische Universität Darmstadt (Germany) and a year of industrial experience with the Mafin S.r.l. company (Padova, Italy), a European leader in snack pellet production with the possibility of employment at the end of studies.

The Ph.D. student will have at his/her/their disposal 12.000 Euros extra funds for the personal support (purchase of materials, participation in training events, etc.).

 

APPLICATIONS

In order to enroll in the Ph.D. program, candidates must pass a public competition regulated by a specific Call for Applications. Info here http://dausy.poliba.it/phd/application/

 

LINKS

http://dausy.poliba.it/phd/wp-content/uploads/N33.pdf

https://mafin.it/en/

https://www.ias.informatik.tu-darmstadt.de/

PROST Project Final Results

PROST Project Final Results

PROST Project final results are online in this article:

Toward autonomous robotic prostate biopsy: a pilot study. 

With Bogdan Maris, Chiara Tenga, Rudy Vicario, Luigi Palladino, Noè Murr, Michela De Piccoli, Andrea Calanca, Stefano Puliatti, Salvatore Micali, Alessandro Tafuri and Paolo Fiorini.

Prostate cancer is the second most common cancer, after breast cancer, and is one of the leading causes of death in men.

PROST is our first #prototype of a prostate biopsy robot that includes a level of autonomy in target identification, image fusion and needle guidance

The robot aims at reducing human error in #biopsy planning and execution, it can also guarantee that high-accuracy prostate biopsies are accessible, thanks to a low-cost solution that works independently of the clinician’s experience. 

Our pre-clinical ex-vivo #tests were performed in collaboration with a cohort of 10 urologists from the Università degli Studi di Verona #AOUI Azienda Ospedaliera Universitaria Integrata Verona and Università degli Studi di Modena e Reggio Emilia.

PROST is funded by the European Research Council under the Proof of Concept grant.

About Prost
Prostate cancer is the second most common cancer, after breast cancer, and is one of the leading causes of death in men.

PROST is our first #prototype of a prostate biopsy robot that includes a level of autonomy in target identification, image fusion and needle guidance

The robot aims at reducing human error in #biopsy planning and execution, it can also guarantee that high-accuracy prostate biopsies are accessible, thanks to a low-cost solution that works independently of the clinician’s experience. 

Our pre-clinical ex-vivo #tests were performed in collaboration with a cohort of 10 urologists from the Università degli Studi di Verona #AOUI Azienda Ospedaliera Universitaria Integrata Verona and Università degli Studi di Modena e Reggio Emilia.

PROST is funded by the European Research Council under the Proof of Concept grant.

DISCOVER THE PROJECT

Assistive Robotics and low-cost exoskeletons

Assistive Robotics and low-cost exoskeletons

In our lab we are developing research on low-cost exoskeletons, devices capable of helping people with motor disabilities in everyday life.

This technology is aimed at patients suffering from muscle weakness (eg muscular dystrophy) and allows – through non-invasive electrodes – to collect the nerve signal and estimate the patient’s movement in anticipation.

Exoskeletons currently on the market have prohibitive costs to be adopted in the home environment. In order to to reduce costs, we are therefore working on:
• an elastic support that allows the application of small size and low cost motors;
• a flexible mechanical structure that allows to estimate the interaction forces through its own deformation.

FORECAST research is developed within the EUROBENCH European Project.

Forecast Project

Forecast Project

The first six months of the Forecast Project have been completed with a paper submission

 

The FORECAST project focuses on benchmarking force control algorithms for robotic locomotion applications such as exoskeletons and humanoids. As a result, tools will be developed to help robot designers choose the best force control algorithms and to define standardized metrics for their evaluation.

Submitted paper: “Actuation selection for assistive exoskeletons: matching capabilities to task requirements” by Andrea Calanca, Stefano Toxiri, Davide Costanzi, Enrico Sartori, Tommaso Poliero, Christian Di Natali, Darwin G. Caldwell, Paolo Fiorini, Jesús Ortiz as a regular paper to the IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Actuator and Environment modelling
Physical testbench