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

Leonardo De Mattos Leonardo.DeMattos at iit.it
Mon May 4 03:31:46 PDT 2015


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    PhD positions in Biomedical Robotics 
         Italian Institute of Technology
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Application deadline: June 10, 2015 at 12.00 noon, Italian time

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:

PhD PROGRAM IN BIOENGINEERING AND ROBOTICS - CURRICULUM OF ADVANCED AND HUMANOID ROBOTICS

Research themes:
30. ROBOT-ASSISTED MICROSURGERY
31. SMART CLINICAL TOOLS
32. NOVEL INTERFACES AND TECHNOLOGIES FOR ASSISTIVE ROBOTIC SYSTEMS
33. REAL TIME TUMOR DETECTION AND CLASSIFICATION IN ENDOSCOPIC VIDEO
34. COGNITIVE MODELING AND CONTROL IN LASER MICROSURGERY

More details on these research themes are presented below. The information can also be found at: 
http://www.iit.it/images/phd-xxxi/RES.THEMES.ADVANDHUM.pdf 

Full details of the call and the application procedure can be found at:
http://www.studenti.unige.it/postlaurea/dottorati/XXXI/ 
 
Applications are considered for the subsequent selection ONLY if received ELECTRONICALLY through the UNIVERSITY of GENOA's website by the deadline.

It is 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.

Location: The Biomedical Robotics Laboratory is located at the IIT’s headquarters in Genoa, Italy, a seaside Mediterranean city in the beautiful Italian Riviera.


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30. Robot-Assisted Microsurgery
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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31. Smart Clinical Tools
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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32. Novel Interfaces and Technologies for Assistive Robotic Systems
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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33. Real Time Tumor Detection and Classification in Endoscopic Video
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. 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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34. Cognitive Modeling and Control in Laser Microsurgery
Lasers are used in a number of surgical procedures as cutting tools, where their use has gained popularity due to the need for high quality incisions eg in surgery on the vocal folds. The quality of the incision is effects the accuracy of both the incision depth and width. For traditional surgery this incision quality depends mainly on the surgeon’s ability to handle a scalpel and his/her sense of touch, but laser surgery requires a different type of dexterity. Improper use of the laser may result in harmful and undesired effects such as carbonization. To improve the quality of the incision and reduce the harmful effects the interaction between the laser and the tissue must be accurately modeled and controlled.
This project will build on previous work in the EU project μRALP (www.microralp.eu) to develop a cognitive model of the interaction and use this to control the laser power, on-time etc providing augmented senses of reality to the surgeon and improving his/her capacity to accurately perform incision, ablations etc.
Requirements: background in computer science, AI, 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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Leonardo Mattos, PhD 
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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