GIOVANNI MARIA FARINELLA

Department of Mathematics and Computer Science - University of Catania


GMF Home Page --> Ph.D. OPPORTUNITIES

 

 

New opportunities will be available here at the end of July 2018



Closed Position

Deep Learning for Visual Localization

We are seeking for an exceptional and passionate full-time Ph.D. student to start a new project on "Deep Learning for Visual Localization", jointly supervised by the University of Catania (Sicily, IT) and at the R&D Center of XENIA-DWORD (Italy, IT).

The main aim of this Ph.D. programme is the design and development of an innovative Visual Localization System based on Deep Learning technology and Egocentric Imaging Sesors (Wearable/Mobile). Attention will be taken in the development of a solution able to work in embedded systems. The solution will be designed and developed by keeping in mind both indoor and outdoor environments.


The student will face innovative and intriguing theoretical and practical issues, while spending part of his time at Image Processing Laboratory of University of Catania and part at XENIA-DWORD R&D.

The Image Processing Laboratory (IPLab) is part of the department of Mathematics and Computer Science of the University of Catania, Italy. IPLAB’s research focuses in the areas of Image Processing, Computer Vision, Machine Learning and Computer Graphics. IPLAB has been involved in different international projects for the development of advanced algorithms with applications in different domains: Embedded and wearable devices, assistive technologies, quality of life, forensics, medical, cultural heritage.

The student will have the possibility to work in a friendly and constructive environment and will have the possibility to attend at the major conferences and schools in the field to present the results of his/her research.

Equal opportunities to all applicants will be provided. Any expertise or prior knowledge in computer vision, machine learning and image processing is welcome. Prior publication at international conferences is an advantage. Ability to program in Matlab/Python/C/C++ is desirable. Other programming languages, communication skills and team play will also be welcome.

Application procedure will be formally opened at the end of July 2017. The PhD programme will start in Oct-Nov 2017.
Are you interested? Do you want to have more information?
Please, send by email your questions including your CV, a cover letter, the publication list and contact details of 2 referees.

Closed Position

Ambient Assisted Living with focus on Fall Detection (CLOSED)

We are seeking for an exceptional and passionate full-time Ph.D. student to start a new project on Ambient Assisted Living with focus on Fall Detection, jointly supervised by the University of Catania (Sicily, IT) and at the R&D Centers in OSRAM (Munich, DE).

The main aim of this Ph.D. programme is the design and development of a low-cost and noninvasive Fall Detection System based on visual data acquired with fish-eye cameras mounted on the roof of a room (e.g., in a roof-lamp). Attention will be taken in the development of a solution able to work in embedded systems with weak supervision for training (offline) and/or automatic training after the installation (online). The Fall Detection solution will be designed and developed by keeping in mind indoor environments such as Homes, Hospital Rooms and Nursing Homes & Clinics.

The student will face innovative and intriguing theoretical and practical issues, while spending part of his time at Image Processing Laboratory of University of Catania and part at OSRAM R&D.

The Image Processing Laboratory (IPLab) is part of the department of Mathematics and Computer Science of the University of Catania, Italy. IPLAB’s research focuses in the areas of Image Processing, Computer Vision, Machine Learning and Computer Graphics. IPLAB has been involved in different international projects for the development of advanced algorithms with applications in different domains: Embedded and wearable devices, assistive technologies, quality of life, forensics, medical, cultural heritage.

The student will have the possibility to work in a friendly and constructive environment and will have the possibility to attend at the major conferences and schools in the field to present the results of his/her research.

Equal opportunities to all applicants will be provided. Any expertise or prior knowledge in computer vision, machine learning and image processing is welcome. Prior publication at international conferences is an advantage. Ability to program in Matlab/Python/C/C++ is desirable. Other programming languages, communication skills and team play will also be welcome.

Application procedure will be formally opened on min July 2016. The PhD programme will start in Oct-Nov 2016.
Are you interested? Do you want to have more information?
Please, send by email your questions including your CV, a cover letter, the publication list and contact details of 2 referees.

Closed Position

Learning Architectures for Multimedia Representation and Understanding (CLOSED)

We are seeking for an exceptional and passionate full-time Ph.D. student to work on the project “Learning architectures for Multimedia representation and understanding”, jointly supervised by the University of Catania (Sicily, IT) and at the R&D Centers in STMicroelectronics (Catania, IT).

The aim of this Ph.D. programme is to use data coming from different domains (images, video/temporal/motion, GPS, audio signals, tags, wearable sensors, etc.) to build a powerful representation, possibly extending the current CNN to treat the different signal jointly and in a semi-supervised way (i.e., with no need of huge datasets to perform training for personalized use). The application contexts will consider emerging scenarios, such as activity monitoring and assistive technologies to improving health and wellness of human beings and quality of life in general.

The student will face innovative and intriguing theoretical and practical issues, while spending part of his time at Image Processing Laboratory of University of Catania and part at STMicroelectronics R&D.

The Image Processing Laboratory (IPLab) is part of the department of Mathematics and Computer Science of the University of Catania, Italy. IPLAB’s research focuses in the areas of Image Processing, Computer Vision, Machine Learning and Computer Graphics. IPLAB has been involved in different international projects for the development of advanced algorithms with applications in different domains: Embedded and wearable devices, assistive technologies, quality of life, forensics, medical, cultural heritage. 

The student will have the possibility to work in a friendly and constructive environment and will have the possibility to attend at the major conferences and schools in the field to present the results of his/her research.

Equal opportunities to all applicants will be provided. Any expertise or prior knowledge in computer vision, machine learning and image processing is welcome. Prior publication at international conferences is an advantage. Ability to program in Matlab/Python/C/C++ is desirable. Other programming languages, communication skills and team play will also be welcome.

Application procedure will be formally opened on mid July 2016. The PhD programme will start in Oct-Nov 2016.
Are you interested? Do you want to have more information?
Please, send by email your questions including your CV, a cover letter, the publication list and contact details of 2 referees.