Emplois actuels liés à Scientific Programmer in Federated Learning for Oncology Applications - Villeneuved'Ascq, Hauts-de-France - INRIA
-
Scientific Programmer in Federated Learning for Oncology Applications
il y a 4 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Opportunity: Scientific Programmer in Federated Learning for Oncology ApplicationsThis position is part of the MAGNET team at INRIA, collaborating with European project partners. The team is involved in research projects such as TRUMPET, FLUTE, and REDEEM, focusing on privacy-preserving federated learning in settings with potentially malicious...
-
Scientific Programmer in Federated Learning for Oncology Applications
il y a 4 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Opportunity: Scientific Programmer in Federated Learning for Oncology ApplicationsThis position is part of the MAGNET team at INRIA, collaborating with European project partners. The team is involved in projects such as TRUMPET, FLUTE, and REDEEM, focusing on privacy-preserving federated learning in settings with potentially malicious participants.Key...
-
Scientific Programmer in Federated Learning for Oncology Applications
il y a 4 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Context and RequirementsThis position will be supported by the project and will collaborate with several European project partners. The recruited engineer will contribute to one or more of the TRUMPET, FLUTE, and REDEEM projects, which aim at researching and prototyping algorithms for secure, privacy-preserving federated learning in settings with...
-
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Context and RequirementsThis PhD position is part of a project that aims to develop privacy-preserving federated learning algorithms. The successful candidate will work in the MAGNET team at INRIA, collaborating with European project partners.With the increasing use of AI, there is a growing concern about potential risks and abuses. Research directions...
-
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinResearch Context and ObjectivesThis PhD position is part of a project that aims to develop privacy-preserving federated learning algorithms for applications in oncology. The successful candidate will contribute to the research and development of these algorithms in collaboration with the MAGNET team and project partners.Key ResponsibilitiesContribute to the...
-
Scientific Programmer in Privacy-Preserving Federated Learning
il y a 2 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinAbout the RoleThis position will be part of the MAGNET team in Lille, collaborating with European project partners. The successful candidate will contribute to researching and prototyping algorithms for secure, privacy-preserving federated learning in settings with potentially malicious participants.Key ResponsibilitiesDeveloping algorithms, such as...
-
Privacy-Preserving Federated Learning Researcher
il y a 2 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinResearch Opportunity in Privacy-Preserving Federated LearningThis PhD student position will be supported by the project, allowing for close collaboration with national and international partners. The successful candidate will contribute to research and prototyping algorithms for secure, privacy-preserving federated learning in settings with potentially...
-
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinContext and Advantages of the PositionThis postdoctoral position will be supported by the project, allowing for collaboration with several European project partners. The MAGNET team, involved in the TRUMPET, FLUTE, and REDEEM projects, seeks team members who can contribute to these projects in close collaboration with other team members and national &...
-
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinResearch Position in Secure Machine LearningThis PhD student position is part of the MAGNET team at INRIA, focusing on research and development of privacy-preserving federated learning algorithms. The recruited PhD student will collaborate with colleagues in the MAGNET team and the project consortia to contribute to the TRUMPET, FLUTE, and REDEEM...
-
Scientific Researcher
il y a 2 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinResearcher Position - Federated Learning in Oncology This researcher position will be supported by the project, with collaboration between the MAGNET team in Lille and European project partners. Research on privacy-preserving machine learning is gaining importance due to concerns about potential risks and abuses. Techniques such as differential privacy and...
-
Postdoctoral Researcher in Privacy-Preserving Federated Learning
il y a 2 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob ContextThe INRIA team is seeking a postdoctoral researcher to contribute to the development of privacy-preserving federated learning algorithms and their applications in medical domains.The successful candidate will work closely with the MAGNET team and European project partners to advance the field of privacy-preserving machine learning.Research...
-
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Context and RequirementsThis postdoctoral position will be supported by the project and will be part of the MAGNET team in Lille, collaborating with several European project partners.With the increasing concern about potential risks and abuses of AI techniques, there is a growing interest in research directions such as privacy-preserving machine...
-
Postdoctoral Research Fellow
il y a 3 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinResearch Opportunity We are seeking a highly motivated postdoctoral researcher to join the MAGNET team at INRIA. The successful candidate will contribute to the development of privacy-preserving federated learning algorithms for medical applications.Context and ObjectivesThis postdoctoral position will be supported by the project, which aims to research and...
-
Scientific Data Privacy Engineer
il y a 2 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinContext and Highlights of the PositionThis position will be supported by the INRIA project. As part of the MAGNET team in Lille, the engineer will collaborate with several European project partners.Given the growing concern about potential risks and abuses of AI, there is a significant interest in research directions such as privacy-preserving machine...
-
Data Scientist Contractor
il y a 1 mois
Villeneuve-d'Ascq, Hauts-de-France Inria Temps pleinJob Title: Engineer ContractorWe are seeking a highly skilled Engineer Contractor to join our team at Inria, a leading research institute in the field of digital sciences and technologies. The successful candidate will be responsible for consolidating and extending an existing open-source library for decentralized and privacy-preserving machine learning.Key...
-
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinResearch ContextThe selected candidate will be part of the research team at INRIA, working under the supervision of Debabrota. The objective of this postdoctoral position is to investigate the impact of different types of constraints and structures on the performance and design of bandit and reinforcement learning algorithms. This research aims to simulate...
-
Postdoctoral Researcher in Personalized Patient Follow-up
il y a 4 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinContext and Advantages of the PositionThe selected candidate will work in close collaboration with both the Scool and Inserm teams at INRIA.The main objective is to explore the application of bandit theory to personalized patient follow-up, proposing algorithms and studying their theoretical properties in collaboration with the Scool team.With the Inserm...
-
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Context and RequirementsWe are seeking a highly motivated PhD candidate to join our team at INRIA and work on a project focused on robust reinforcement learning and privacy in sequential decision making. The candidate will be supported by the PEPR project FOUNDRY and supervised by Debabrota and Emilie.As RL algorithms are being deployed in real-life...
-
Postdoctoral Researcher in Personalized Patient Follow-up
il y a 4 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinContext and OpportunitiesThe successful candidate will be part of a dynamic research team at INRIA, working on the intersection of machine learning and medicine.Mission and ObjectivesThe postdoctoral researcher will collaborate closely with both the Scool and Inserm teams to explore the application of contextual bandit problems to personalized patient...
-
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinContext and Benefits of the PositionThe postdoctoral researcher will be part of the INRIA team and will work under the supervision of Debabrota. The researcher will investigate the impact of different types of constraints and structures on the performance and design of bandit and RL algorithms.The project aims to simulate existing and new collaborations with...
Scientific Programmer in Federated Learning for Oncology Applications
il y a 4 semaines
Job Context and Requirements
This position will be supported by the project and will be part of the MAGNET team in Lille, collaborating with European project partners.
With the increasing concern about potential risks and abuses of AI, there is a growing interest in research directions such as privacy-preserving machine learning, explainable machine learning, fairness, and data protection legislation.
Privacy-preserving machine learning aims to learn and publish models from data without revealing the data. Notions such as differential privacy and its generalizations allow to bound the amount of information revealed.
The MAGNET team is involved in the TRUMPET, FLUTE, and REDEEM projects, researching and prototyping algorithms for secure, privacy-preserving federated learning in settings with potentially malicious participants.
Job Mission
The recruited engineer will collaborate with colleagues in the MAGNET team and the TRUMPET/FLUTE/REDEEM projects' consortia. The work will contribute to TRUMPET/FLUTE's platform and REDEEM's open source library, designing and developing the overall architecture and contributing modules providing privacy enhancing technologies (PETs) and privacy assessment functionality based on MAGNET scientific advances.
Tasks may include developing algorithms, testing algorithms through systematic benchmarking / experimentation, and applying algorithms in medical applications.
Main Activities
- Studying new algorithms for reasoning about data privacy
- Automatically analyzing and transforming algorithms and queries provided as input
- Design and prototyping of key algorithms
- Create appropriate documentation
- Integrate such implementations in the FLUTE platform
- Test algorithms and run experiments
Required Skills
- Strong understanding of distributed algorithms
- Software design and development skills (relevant code may include Python and/or C/C++)
- Understanding of process models and (probabilistic) reasoning techniques
- Understanding of programming language internals (e.g., abstract syntax trees)
Languages
- Mastering English is essential
Relational Skills
- Smoothly working in a team in a research environment
- Effective communication and collaboration
Benefits
- 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
- 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
According to the profile
