[robotics-worldwide] [jobs] PhD openings in Biomedical Robotics at IIT

Leonardo De Mattos Leonardo.DeMattos at iit.it
Thu Jul 10 04:54:37 PDT 2014


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   PhD openings in Biomedical Robotics 
  at the Italian Institute of Technology
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The Biomedical Robotics Laboratory at the IIT's Department of Advanced Robotics has a number of fully funded PhD positions opened for the following areas:

Theme 23. Computer Vision and Machine Learning for Tumor Detection and Classification in Real-Time Endoscopic Video
Theme 24. Robot-Assisted Laser Microsurgery
Theme 25. Smart Clinical Tools
Theme 26. Novel Interfaces and Assistive Systems for the Disabled
Theme 27. Miniaturized Tools for Microsurgery

More details on these research themes are presented below. The information can also be found here:  http://phd.dibris.unige.it/biorob/media/advancedhumanoidsdef.pdf

Full details of the call and the application procedure can be found at: http://www.iit.it/en/openings/phd-calls
 

==> DEADLINE FOR APPLICATION: 22/AUGUST/2014, NOON, ITALIAN TIME  <==
 
 
To apply, please visit the following link and follow the "online application" link: http://www.studenti.unige.it/postlaurea/dottorati/XXX/ENG/
 
Applications are considered for the subsequent selection ONLY if received ELECTRONICALLY on the UNIVERSITY of GENOA's website strictly by the deadline.
 
It is highly recommended that prospective students contact Leonardo Mattos at leonardo.mattos at iit.it well ahead of the deadline in case of questions about the research areas or doubts about the application procedure.

Best regards,
 
Leonardo Mattos
Team Leader
µRALP Project Coordinator
 
Istituto Italiano di Tecnologia
Department of Advanced Robotics
Via Morego, 3O - 16163 Genova, Italy
TEL:  +39.010.71781.409 
FAX: +39.010.71781.232
www.iit.it  
www.microralp.eu 


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Theme 23. Computer Vision and Machine Learning for Tumor Detection and Classification in Real-Time Endoscopic Video 
Tutors: Dr. Leonardo Mattos, Prof. Vittorio Murino

* Description: In this PhD program the student will become familiar with endoscopic imaging for minimally-invasive surgery and will develop expertise in computer vision and machine learning techniques with the goal of creating a new system for automatic tumor detection, segmentation and classification. This will include the use of data from real-time tumor imaging systems such as narrow-band imaging (NBI) and fluorescence imaging systems. This research will be carried out within the Department of Advanced Robotics in collaboration with the Department of Pattern Analysis and Computer Vision (PAVIS). It will also involve close collaboration with partner surgeons. Results of this work will enable the creation of an optical biopsy system, which will help surgeons diagnose lesions in the office without the need for tissue excisions. It will also allow the creation of enhanced augmented reality systems for robot-assisted surgeries, helping surgeons visualize and establish safer surgical margins for cancer tissue removal. 
* Requirements: background in computer science or engineering; strong interest in medical image and image processing. Experience in computer vision and machine learning would be advantageous. The candidate must be fluent in both spoken and written English.

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Theme 24. Robot-Assisted Laser Microsurgery
Tutors: Dr. Leonardo Mattos, Dr. Nikhil Deshpande

* Description: Microsurgeries are demanding operations that required high precision and dexterity. They also represent a surgical area in which robotics can have a deep impact, helping surgeons perform more precise and safer operations, or even pioneer previously impossible procedures. This research will contribute to the area of minimally invasive robot-assisted laser microsurgery. It will build upon results from the European project µRALP (www.microralp.eu) to create the next generation tools for high precision / high quality laser microsurgeries. This will involve the mechatronic design and control of a new miniaturized laser micromanipulator, as well as the evaluation and testing of new systems in collaboration with our partner surgeons. During this process the student will develop expertise in surgical robotics, medical equipment design, control systems, user interfaces and usability analysis.
* Requirements: background in engineering; interest in the design, fabrication and analysis of robots and mechanisms for microsurgical applications. Experience in CAD-based mechanical design or microfabrication are desired. The candidate must be fluent in both spoken and written English.

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Theme 25. Smart Clinical Tools
Tutors: Dr. Leonardo Mattos, Prof. Brian Davies

* Description: Robotics can significantly improve clinical practice by offering tools and systems able to augment the clinicians' sensing and actuation capabilities. This PhD program will be centered on this concept and will contribute to the evolution of clinical tools through the development of new assistive robotic and mechatronic devices for delicate clinical applications, such as microsurgeries or intravenous injections on infants and diabetic patients. The research will be carried out in collaboration with partner clinicians and will focus on improving delicate operations that currently rely completely on the experience and manual dexterity of healthcare professionals. During this process the student will develop expertise in medical robotics, force sensing and control, imaging, micromanipulation, microinjection and haptic feedback.
* Requirements: background in engineering; interest in the design, fabrication and analysis of mechatronic devices for clinical applications. Experience in mechanical design or robotics would be advantageous. The candidate must be fluent in both spoken and written English.

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Theme 26. Novel Interfaces and Assistive Systems for the Disabled
Tutor: Dr. Leonardo Mattos, Dr. Nikhil Deshpande

* Description: Technology can go a long way toward improving the quality of life of people who happen to have disabilities, including the elderly and those with debilitating diseases such as amyotrophic lateral sclerosis (ALS), muscular dystrophy, etc. This PhD program will focus on the creation of novel interfaces and systems to assist people with disabilities realize fundamental activities such as communication, environment control, social interactions and the ability to move around independently. It may also involve the investigate technologies suitable for assisted living using body-area and ambient wireless computing networks. The research will involve close collaboration with partner clinicians and technology end-users, allowing the student to develop expertise both in biomedical engineering (biosensors, actuators, control systems) and ergonomics (human factors, usability, human-computer interaction). 
* Requirements: background in biomedical engineering, computer science or related disciplines; interest in the design, implementation and evaluation of assistive systems. Experience in brain-machine interfaces (BMI) or the acquisition and processing of biosignals would be advantageous. The candidate must be fluent in both spoken and written English.

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5.	Miniaturized Tools for Microsurgery
Tutors: Dr. Nikhil Deshpande, Dr. Leonardo Mattos

* Description: The creation and utilization of tools that are small enough to pass through the various conduits in the human body is an emerging area of medical innovation in the microsurgery domain. It involves the fabrication of miniaturized devices having physical, chemical, mechanical, and electronic functionalities that can be controlled or autonomously triggered based on the application. The challenges lie in providing the dexterity, access, control, and manipulation capability for the surgeons using these devices, as well as giving force/tactile and visual feedbacks during surgery. The tele-operation and control of the devices in the surgical site require new methods of training and skill acquisition for the surgeons. New user interfaces, surgical procedures, and test-beds need to be devised to simulate surgical conditions which can allow the microsurgical devices to be tested. This research shall investigate the development of miniaturized, robot-assisted, microsurgical tools with actuation and sensing capabilities. The program shall investigate intuitive, minimally obtrusive surgeon-machine interfaces utilizing novel head-mounted displays and haptic feedback technologies. The research shall advance the state-of-the-art in miniaturization of robot-assisted microsurgical tools and systems. 
* Requirements: background in mechanical or electrical engineering; interest in the design, fabrication and analysis of mechatronic devices for microsurgical applications. Experience in mechanical design, fabrication and control of miniaturized devices would be advantageous. The candidate must be fluent in both spoken and written English.




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