About the research centre or Inria department
Avantages principaux
About the role
Inria job offers > Offer #2026-10059
PhD Position F/M PhD - Robust few-shot learning for foundational model in CT imaging
Download job offer in PDF format
Contract type : Fixed-term contract
Level of qualifications required : Graduate degree or equivalent
Fonction : PhD Position
Level of experience : Recently graduated
About The Research Centre Or Inria Department
The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris .
The centre has 41 project teams, 27 of which operate jointly with Paris-Saclay University (15 teams) and the Institut Polytechnique de Paris (12 teams). Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.
The centre also hosts the Institut DATAIA, dedicated to data sciences and their disciplinary and application interfaces.
Context
The Greater Paris University Hospitals Data Warehouse (EDS AP-HP) contains multimodal clinical data (PMSI, imaging, biological, and clinical documents) for over 14 million patients. The ANR FM2AI projet proposes to leverage 50,000 real-world clinical 3D CT scans from this exceptional data resource, to deploy a novel foundation model for abdominal-pelvic CT Imaging. The approach is designed to generalize across multiple clinical applications involving abdominal CT images, by resorting to self-supervised learning techniques for training the
foundation model, and then exploiting it for a wide class of clinical queries thanks to the innovative
few-shot learning paradigm [1], while paying attention to robustness assessment.
In this context, we are seeking for a PhD candidate with an excellent background in AI and mathematics, to design robust few-shot learning methods to allow the on-site adaptation of the foundation model and generalization to specific diagnostic tasks, such as prediction and segmentation of CT images of all body regions, without requiring massive re-annotation efforts nor GPU resources. The work will build upon the expertise of the OPIS team on few-short learning [2,3,4,5].
[1] E. Pachetti, S. Colantonio, A systematic review of few-shot learning in medical imaging, Art. Int. Med., 2024.
[2] S. Martin, M. Boudiaf, E. Chouzenoux, J.-C. Pesquet, et al., Towards practical few-shot query sets:
Transductive minimum description length inference, Proc. the Int. Conf. on Neu. Inf. Proc. Sys. (NeurIPS), 2022.
[3] S. Martin, Y. Huang, F. Shakeri, J.-C. Pesquet, I. Ben Ayed, Transductive zero-shot and few-shot CLIP, IEEE
/ CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024.
[4] L. Zhou, F. Shakeri, A. Sadraoui, M. Kaaniche, J.-C. Pesquet, I. Ben Ayed, UNEM: UNrolled Generalized EM
for Transductive Few-Shot Learning, IEEE/CVF Conf. on Comp. Vision and Patt. Recognition (CVPR), 2025.
[5] M. Vu, E. Chouzenoux, J.-C. Pesquet, I. Ben-Ayed. Aggregated f-average Neural Network applied to Few-
Shot Class Incremental Learning, vol. 237, pp. 110054, Signal Processing, 2025.
Assignment
Missions: Develop new few-shot learning techniques for CT image classification ; Develop new model for few-shot tumor segmentation; Analyze robustness and generalization capabilities of the models ; Validation on public datasets and EDS-APHP datasets.
Environment: The phd student will be supervised by Emilie Chouzenoux (Head of OPIS team, Inria Saclay), and will interact regularly with the members of the ANR FM2AI consortium. The student will join the Inria Saclay team OPIS (https://opis-inria.eu/). He/she will be located in the Centre de la Vision Numérique, in CentraleSupélec campus, Saclay, France. He/she will enjoy an international and creative environment where research seminars and reading groups take place very often. Informatic material expenses will be covered within the limits of the scale in force.
Starting date is flexible, from the 1st Oct. 2026.
Main activities
Main Activities :
Programming in Python/PyTorch environment
Bibliographical study
Deep learning architecture design/training/testing
Mathematical optimization / convergence analysis
Writing of scientific reports
Skills
Languages : The candidate must be fluent in english and/or french languages.
Benefits package
Subsidized meals Partial reimbursement of public transport costs Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.) Possibility of teleworking and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage
Remuneration
2300€ gross/month
Apply for this position
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General Information
Theme/Domain : Optimization, machine learning and statistical methods Statistics (Big data) (BAP E) Town/city : Gif sur Yvette Inria Center : Centre Inria de Saclay Starting date : 2026-10-01 Duration of contract : 3 years Deadline to apply : 2026-08-31
Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.
Instruction to apply
Defence Security :
This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.
Recruitment Policy :
As part of its diversity policy, all Inria positions are accessible to people with disabilities.
Contacts
Inria Team : OPIS PhD Supervisor : Chouzenoux Emilie / emilie.chouzenoux@inria.fr
The keys to success
We seek for a talented candidate with Master 2 / Engineering degree, with a solid background in optimization, statistics, and a strong motivation for the medical imaging field. Experience in Python programming is necessary. An experience in PyTorch or TensorFlow is highly recommended.
The candidates are requested to send a CV and a motivation letter to apply for this position.
About Inria
Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.
PhD Position F/M PhD - Robust few-shot learning for foundational model in CT imaging
Download job offer in PDF format
Contract type : Fixed-term contract
Level of qualifications required : Graduate degree or equivalent
Fonction : PhD Position
Level of experience : Recently graduated
Skills
Languages : The candidate must be fluent in english and/or french languages.
Benefits package
Subsidized meals Partial reimbursement of public transport costs Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.) Possibility of teleworking and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage
Remuneration
2300€ gross/month
Apply for this position
Share
Facebook Linkedin Twitter Email
General Information
Theme/Domain : Optimization, machine learning and statistical methods Statistics (Big data) (BAP E) Town/city : Gif sur Yvette Inria Center : Centre Inria de Saclay Starting date : 2026-10-01 Duration of contract : 3 years Deadline to apply : 2026-08-31
Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.
Instruction to apply
Recruitment Policy :
As part of its diversity policy, all Inria positions are accessible to people with disabilities.
Contacts
Inria Team : OPIS PhD Supervisor : Chouzenoux Emilie / emilie.chouzenoux@inria.fr
The keys to success
We seek for a talented candidate with Master 2 / Engineering degree, with a solid background in optimization, statistics, and a strong motivation for the medical imaging field. Experience in Python programming is necessary. An experience in PyTorch or TensorFlow is highly recommended.
The candidates are requested to send a CV and a motivation letter to apply for this position.
Skills
Languages : The candidate must be fluent in english and/or french languages.
Benefits package
Subsidized meals Partial reimbursement of public transport costs Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.) Possibility of teleworking and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage
Remuneration
2300€ gross/month
Similar Jobs
About the research centre or Inria department
Avantages principaux
About the role
Inria job offers > Offer #2026-10059
PhD Position F/M PhD - Robust few-shot learning for foundational model in CT imaging
Download job offer in PDF format
Contract type : Fixed-term contract
Level of qualifications required : Graduate degree or equivalent
Fonction : PhD Position
Level of experience : Recently graduated
About The Research Centre Or Inria Department
The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris .
The centre has 41 project teams, 27 of which operate jointly with Paris-Saclay University (15 teams) and the Institut Polytechnique de Paris (12 teams). Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.
The centre also hosts the Institut DATAIA, dedicated to data sciences and their disciplinary and application interfaces.
Context
The Greater Paris University Hospitals Data Warehouse (EDS AP-HP) contains multimodal clinical data (PMSI, imaging, biological, and clinical documents) for over 14 million patients. The ANR FM2AI projet proposes to leverage 50,000 real-world clinical 3D CT scans from this exceptional data resource, to deploy a novel foundation model for abdominal-pelvic CT Imaging. The approach is designed to generalize across multiple clinical applications involving abdominal CT images, by resorting to self-supervised learning techniques for training the
foundation model, and then exploiting it for a wide class of clinical queries thanks to the innovative
few-shot learning paradigm [1], while paying attention to robustness assessment.
In this context, we are seeking for a PhD candidate with an excellent background in AI and mathematics, to design robust few-shot learning methods to allow the on-site adaptation of the foundation model and generalization to specific diagnostic tasks, such as prediction and segmentation of CT images of all body regions, without requiring massive re-annotation efforts nor GPU resources. The work will build upon the expertise of the OPIS team on few-short learning [2,3,4,5].
[1] E. Pachetti, S. Colantonio, A systematic review of few-shot learning in medical imaging, Art. Int. Med., 2024.
[2] S. Martin, M. Boudiaf, E. Chouzenoux, J.-C. Pesquet, et al., Towards practical few-shot query sets:
Transductive minimum description length inference, Proc. the Int. Conf. on Neu. Inf. Proc. Sys. (NeurIPS), 2022.
[3] S. Martin, Y. Huang, F. Shakeri, J.-C. Pesquet, I. Ben Ayed, Transductive zero-shot and few-shot CLIP, IEEE
/ CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024.
[4] L. Zhou, F. Shakeri, A. Sadraoui, M. Kaaniche, J.-C. Pesquet, I. Ben Ayed, UNEM: UNrolled Generalized EM
for Transductive Few-Shot Learning, IEEE/CVF Conf. on Comp. Vision and Patt. Recognition (CVPR), 2025.
[5] M. Vu, E. Chouzenoux, J.-C. Pesquet, I. Ben-Ayed. Aggregated f-average Neural Network applied to Few-
Shot Class Incremental Learning, vol. 237, pp. 110054, Signal Processing, 2025.
Assignment
Missions: Develop new few-shot learning techniques for CT image classification ; Develop new model for few-shot tumor segmentation; Analyze robustness and generalization capabilities of the models ; Validation on public datasets and EDS-APHP datasets.
Environment: The phd student will be supervised by Emilie Chouzenoux (Head of OPIS team, Inria Saclay), and will interact regularly with the members of the ANR FM2AI consortium. The student will join the Inria Saclay team OPIS (https://opis-inria.eu/). He/she will be located in the Centre de la Vision Numérique, in CentraleSupélec campus, Saclay, France. He/she will enjoy an international and creative environment where research seminars and reading groups take place very often. Informatic material expenses will be covered within the limits of the scale in force.
Starting date is flexible, from the 1st Oct. 2026.
Main activities
Main Activities :
Programming in Python/PyTorch environment
Bibliographical study
Deep learning architecture design/training/testing
Mathematical optimization / convergence analysis
Writing of scientific reports
Skills
Languages : The candidate must be fluent in english and/or french languages.
Benefits package
Subsidized meals Partial reimbursement of public transport costs Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.) Possibility of teleworking and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage
Remuneration
2300€ gross/month
Apply for this position
Share
Facebook Linkedin Twitter Email
General Information
Theme/Domain : Optimization, machine learning and statistical methods Statistics (Big data) (BAP E) Town/city : Gif sur Yvette Inria Center : Centre Inria de Saclay Starting date : 2026-10-01 Duration of contract : 3 years Deadline to apply : 2026-08-31
Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.
Instruction to apply
Defence Security :
This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.
Recruitment Policy :
As part of its diversity policy, all Inria positions are accessible to people with disabilities.
Contacts
Inria Team : OPIS PhD Supervisor : Chouzenoux Emilie / emilie.chouzenoux@inria.fr
The keys to success
We seek for a talented candidate with Master 2 / Engineering degree, with a solid background in optimization, statistics, and a strong motivation for the medical imaging field. Experience in Python programming is necessary. An experience in PyTorch or TensorFlow is highly recommended.
The candidates are requested to send a CV and a motivation letter to apply for this position.
About Inria
Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.
PhD Position F/M PhD - Robust few-shot learning for foundational model in CT imaging
Download job offer in PDF format
Contract type : Fixed-term contract
Level of qualifications required : Graduate degree or equivalent
Fonction : PhD Position
Level of experience : Recently graduated
Skills
Languages : The candidate must be fluent in english and/or french languages.
Benefits package
Subsidized meals Partial reimbursement of public transport costs Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.) Possibility of teleworking and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage
Remuneration
2300€ gross/month
Apply for this position
Share
Facebook Linkedin Twitter Email
General Information
Theme/Domain : Optimization, machine learning and statistical methods Statistics (Big data) (BAP E) Town/city : Gif sur Yvette Inria Center : Centre Inria de Saclay Starting date : 2026-10-01 Duration of contract : 3 years Deadline to apply : 2026-08-31
Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.
Instruction to apply
Recruitment Policy :
As part of its diversity policy, all Inria positions are accessible to people with disabilities.
Contacts
Inria Team : OPIS PhD Supervisor : Chouzenoux Emilie / emilie.chouzenoux@inria.fr
The keys to success
We seek for a talented candidate with Master 2 / Engineering degree, with a solid background in optimization, statistics, and a strong motivation for the medical imaging field. Experience in Python programming is necessary. An experience in PyTorch or TensorFlow is highly recommended.
The candidates are requested to send a CV and a motivation letter to apply for this position.
Skills
Languages : The candidate must be fluent in english and/or french languages.
Benefits package
Subsidized meals Partial reimbursement of public transport costs Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.) Possibility of teleworking and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage
Remuneration
2300€ gross/month