2 open PhD positions

Thursday 23rd April 2020

Closing Date: 20/05/2020

The research group IMages, leArning, Geometry and Statistics (IMAGES), member of the ICube lab at the University of Strasbourg, is opening two PhD positions, starting Sept. 2020.

Description

The general framework of the research project is computer assistance to preoperative surgical planning, for an optimal placement of numerous needles or electrodes.

In the first PhD position, the candidate will work on the development of algorithms based on deep learning. The objective is to propose an optimal strategy of intervention, specific to the patient and the type of operation, thanks to an automatic computation involving the expertise of the field, the preoperative data, retrospective data for the training phase, and a precise simulation and prediction of the effects of the treatment during surgery.

The second PhD will focus on augmented reality methods to automatically assist needle insertion for percutaneous surgery, with a real-time correction of possible deviations from the trajectory of a tracked tool in a deformable environment. To achieve this, the candidate will work on improving computation times of multi-objective optimization and treatment simulation methods, and on communication between the tracking system and replanning algorithms. The objective being to help the interventional radiologist, not only in preparing the intervention preoperatively, but in guiding the insertion intraoperatively as well.

Work environment

With around 650 members, ICube lab is a major driving force for research in Strasbourg that gathers together researchers from the University of Strasbourg, the French National Center for Scientific Research (CNRS), and the University Hospital. Biomedical engineering is one of its two main areas of application. The IMAGeS team is a multinational research group of around 30 members (academic, post-doc, PhDs and graduate students), with a strong track record in biomedical engineering and AI, and more particularly image processing, computer vision, graphics, and computer-assisted surgery. The lab offers a dynamic, challenging, and cooperative research environment, in close collaboration with clinicians from the university hospital. It is located in Strasbourg, a lively, green and cosmopolitan city, home of the European parliament and located in the heart of Europe, that will host MICCAI conference in 2021. The PhD candidates will have a unique opportunity to take part in the organization of the event.

Qualification and skills

We are looking for dynamic and motivated candidates with an MSc degree in Computer Science or equivalent. Strong programming skills in C++/python are required. Knowledge and experience with augmented reality, computer graphics, image processing, optimization techniques or related fields as well as advanced machine learning approaches such as deep learning is an advantage. You should be able to work in a multi-disciplinary team, interested in interdisciplinary applied research, and have a good oral and written proficiency in English. Strong theoretical skills and affinity with experimental work are required. 

Information and application

Please send a long CV, motivation letter and academic transcripts in English or French with ranking information before May 20th, 2020 to Caroline Essert: essert@unistra.fr 

Organization University of Strasbourg / ICube lab
Location Strasbourg, France
Title 2 open PhD positions
URL http://images.icube.unistra.fr/en/index.php/Home
Email Address essert@unistra.fr