Post-doctoral Research Position
     Synthesis and Simulation of Surgical Process Models
     Starting September 2013 or earlier, duration 3 years
           
Missions  and activities
         
  The post-doctoral research is placed in the context of computer
  assisted surgery. More specifically, it aims at better understanding
  and formalizing surgical strategies and decision making process. For
  a specific patient who benefited from a surgical treatment, the
  followed surgical strategy can be described by a patient specific
  surgical process model (SPM). This SPM includes the list of the
  actions performed by the surgeon all along the surgical
  procedure. The precise objective of the postdoctoral position is to
  investigate new approaches for generating surgical knowledge from
  patient specific surgical process models. This surgical knowledge
  will be modelled by generic surgical process models.
      
  The candidate will have to investigate a methodology for aggregating
  patient specific SPMs into generic SPMs, as well as new directions
  for representing, analyzing, and executing these gSPMs. Graph
  representations as well as probabilistic networks will be
  studied. The added value of ontological representation in the
  modelling of the gSPMs will be studied. Finally the candidate will
  validate the approaches in the context of surgical teaching
  applications. Databases of patient specific SPMs in neurosurgery,
  interventional neuroradiology and eye surgery are already available
  for testing and validating these approaches.
      
Environment 
        
  To foster research and innovation at highest international level,
  the french government has launched the program "Investissements
  d'Avenir". As part of the former, the program "Laboratoires
  d'Excellence" is assigned 1 billion Euros in capital, for a 10 years
  period. The CominLabs (http://www.cominlabs.ueb.eu) is an initiative
  selected as part of the "Laboratoires d'Excellence" program by the
  French ministry of research and education. It has been assigned 40
  Million Euros in capital, resulting in an effective annual funding
  of 1.4 Million Euros for a 10-year period. The CominLabs has been
  the only Laboratoire d'Excellence selected in the area of software
  sciences. One research area of CominLabs is ICT for personalized
  medicine. Within this challenge, the project S3PM (« Synthesis and
  Simulation of Surgical Process Models ») has been selected as one of
  the first funded projects.

  Proper computer assistance requires models of both conceptual and
  procedural knowledge. In surgery, focus has been done on conceptual
  knowledge with computation of realistic patient specific models from
  multimodal images and signals. In S3PM, we aim at computing generic
  models of surgical procedures from synthesis of structured
  recordings of patient specific procedures from surgical cases
  observations. We also aim at representing such generic models of
  procedural knowledge in order to be executed, for instance, on
  simulation engines. In this project we propose to study and adapt
  the methods developed by MediCIS, S4, and VR4i for computing, from
  individual recordings of procedures, generic surgical process models
  and representing and simulating them. The objective is to develop an
  enabling technology for procedural knowledge based computer
  assistance of surgery. In this project, we demonstrate its potential
  added value for high-level abstraction teaching applications.
 
Competence and Profile 

  The candidate should have a PhD in information processing, analysis
  or related subjects. Experience and publications related to process
  modeling or workflow analysis are a must. Programming skills are
  required (Matlab, C++, Java, OCaml). Skills in semantic web
  technologies (ontology languages OWL, RDFS, RDF) are
  welcome. Salary: about 2200 Euros / month (net). Duration: 3 years
  max. Location: MediCIS team, Laboratory of Signal and Image
  Processing, Medical University, Rennes, France.
      
Partners

  Team MediCIS (P. Jannin, B. Gibaud) is one of the five research
  teams in the LTSI U1099 institute. This institute is dedicated to
  biomedical engineering, is composed by about 100 researchers and
  students and is part of the " Institut national de la santé et de la
  recherche médicale" (INSERM), which is the leading research
  institute in medicine in France. MediCIS has an extensive experience
  in Image Guided and Computer Assisted Neurosurgery, Augmented
  Reality, and Surgical Process Modeling.

  Team S4 (B. Caillaud) is a joint Inria Rennes / Irisa team. It has a
  strong background on the realization by algorithmic methods of
  concurrent reactive systems, for instance Petri nets, from partial
  and heterogeneous specifications combining both logical
  properties and operational scenarios.

  Team VR4i (V. Gouranton, B. Arnaldi) is a joint Inria Rennes / Irisa
  team. The main  concern is to allow real users to interact naturally
  within shared virtual environments, as interaction can be the result
  of an individual interaction of one user with one object or a common
  interaction of several users on the same object.
      
Contact

  Application and CV should be sent to

    Pierre JANNIN
    MediCIS/UMR U1099 LTSI
    INSERM/Université de Rennes I
    2, Avenue du Pr. Léon Bernard CS34317
    35043 Rennes Cedex France
    http://medicis.univ-rennes1.fr
    [email protected]
      
Practical information

    http://medicis.univ-rennes1.fr/contacts/index

----
[[ Petri Nets World:                                                ]]
[[              http://www.informatik.uni-hamburg.de/TGI/PetriNets/ ]]
[[ Mailing list FAQ:                                                ]]
[[ http://www.informatik.uni-hamburg.de/TGI/PetriNets/pnml/faq.html ]]
[[ Post messages/summary of replies:                                ]]
[[                               [email protected] ]]

Reply via email to