• For Post doc positions, some more may be available soon. Please contact Pierre Jannin, John Baxter, Arnaud Huaulmé, or Josselin Gautier directly.

• For Research engineer positions, some more may be available soon. Please contact Pierre Jannin, John Baxter, Arnaud Huaulmé, or Josselin Gautier directly.

• For more PhD positions,Please contact Pierre Jannin, John Baxter, Arnaud Huaulmé, or Josselin Gautier directly.

* 2024-2025: Stage d'ingénieur/développement logiciel (M1/M2) "Surgical Process Model Viewer"

• 2024- 2025: Stage d'ingénieur/développement logiciel (M1/M2) "Virtual reality simulator: from a research to a mixed tool (research/training)"

 
 * 2023-2024: Research internship/Deep Learning (M2) {{ :positions:intership_surgical_large_language_model.pdf | Surgical Large Language Models for Robotic assisted Hysterectomies}}
* 2023-2024: Research internship/Deep Learning (M2) {{ :positions:surgical_workflow_recognition_of_robotic_assisted_hysterectomies.pdf | Surgical Workflow Recognition of robotic assisted hysterectomies}}
* 2023: 4-year Junior Professor position: [[https://www.univ-rennes.fr/sites/www.univ-rennes.fr/files/medias/files/_fiche%20de%20poste_LTSI_CPJ_0.pdf]]
* 2022: Research internship/Deep Learning (M2) {{ :positions:impact_of_visual_guidance_during_surgical_training.pdf |"Impact of visual guidance during surgical training"}}
* 2022 : Research internship/Deep Learning (M1) {{ :positions:intership_kinematic_specific-to-surgeons.pdf |"Does surgeons have individual kinematic behavior during robotic assisted surgeries?"}}
* 2021-2022 : {{https://theses.doctorat-bretagneloire.fr/bs/theses-2021|PhD on Study of physiological characteristics in the learning process of surgical skills in simulation}}
* 2021: Research internship/Deep Learning (M2) {{:positions:intership_human_pose.pdf|"Human pose estimation and evaluation by deep learning during surgical training"}}
* 2020: Stage recherche/développement Deep Learning (M2) {{:positions:internship_deep_learning_parkinson_disease_medicis.pdf|"Localization of the STN by analyzing Electrophysiological Signals using Convolutional Neural Networks"}}

Please find a lot of useful information at the University Department in charge of International students and researchers: https://mobilite-rennes.ueb.eu/en/international-phd-student-or-researcher/international-phd-students-and-researchers-guide-rennes