Scientific Programmer in Federated Learning for Oncology Applications
il y a 2 semaines
Job Context and Requirements
This 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 potentially malicious participants.
Key Responsibilities
- Developing algorithms, e.g., cryptographic or statistical modules, modules supporting the knowledge discovery pipeline and its automation
- Testing algorithms through systematic benchmarking / experimentation
- Applying algorithms in medical applications, e.g., TRUMPET's lung cancer or head&neck cancer or FLUTE's prostate cancer use cases
Technical Skills and Requirements
- A 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)
Working Conditions
- 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
Salary
According to the profile
-
Scientific Programmer in Federated Learning for Oncology Applications
il y a 2 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 2 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
il y a 3 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob DescriptionWe are seeking a highly skilled Scientific Programmer to join our team at INRIA, working on cutting-edge research projects in federated learning and privacy-preserving machine learning.Key ResponsibilitiesDesign and develop algorithms for secure and private federated learningCollaborate with colleagues to contribute to the development of the...
-
Scientific Programmer in Federated Learning
il y a 4 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Title: Scientific Programmer in Federated LearningWe are seeking a highly skilled Scientific Programmer to join our team at INRIA, working on federated learning projects with applications in oncology.Job Description:This position will be part of the MAGNET team in Lille, collaborating with European project partners. The successful candidate will...
-
Scientific Programmer in Federated Learning
il y a 4 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Title: Scientific Programmer in Federated LearningWe are seeking a highly skilled Scientific Programmer to join our team at INRIA, working on federated learning projects. The successful candidate will contribute to the development of algorithms and software for secure and privacy-preserving federated learning.Job Description:The recruited engineer will...
-
Scientific Programmer in Federated Learning
Il y a 2 mois
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Title: Scientific Programmer in Federated LearningThis position is part of the MAGNET team at INRIA, working on the TRUMPET, FLUTE, and REDEEM projects. The team is involved in researching and prototyping algorithms for secure, privacy-preserving federated learning in settings with potentially malicious participants.Key Responsibilities:Collaborate with...
-
Scientific Programmer in Federated Learning for Oncology Applications
il y a 2 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Context and RequirementsThis 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,...
-
Scientific Programmer in Federated Learning for Oncology Applications
il y a 3 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Context and RequirementsThis role will be supported by the project and will collaborate with European project partners. The successful candidate will contribute to the development of algorithms for secure, privacy-preserving federated learning in settings with potentially malicious participants.Key ResponsibilitiesDesign and develop algorithms for...
-
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 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...
-
PhD Position in Privacy-Preserving Federated Learning
il y a 4 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob DescriptionContext and BenefitsThis PhD student position is part of a research project focused on developing privacy-preserving federated learning algorithms for applications in oncology. The successful candidate will work closely with the MAGNET team and international partners to contribute to the project's goals.Research ObjectivesThe PhD student will...
-
PhD Researcher in Privacy-Preserving Federated Learning
il y a 3 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob DescriptionAs a PhD student in the MAGNET team at INRIA, you will contribute to the development of privacy-preserving federated learning algorithms for applications in oncology.Research ContextThe increasing use of AI techniques raises concerns about potential risks and abuses. Our team is involved in several European projects, including TRUMPET, FLUTE,...
-
PhD Position in Privacy-Preserving Federated Learning
il y a 3 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob DescriptionProject OverviewThe MAGNET team at INRIA is seeking a PhD student to contribute to the development of privacy-preserving federated learning algorithms for applications in oncology. The successful candidate will work closely with the project team and international partners to design and implement secure machine learning models.Research...
-
PhD Position in Privacy-Preserving Federated Learning
il y a 4 semaines
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob DescriptionContext and BenefitsThis PhD student position will be supported by the project, allowing for collaboration with several European project partners. The successful candidate will contribute to the research of the TRUMPET, FLUTE, and REDEEM projects, focusing on secure, privacy-preserving federated learning in settings with potentially malicious...
-
Privacy-Preserving Federated Learning Researcher
il y a 3 jours
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...
-
PhD Position in Privacy-Preserving Federated Learning
il y a 1 mois
Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob DescriptionContext and BenefitsThis PhD student position will be supported by the project, allowing for collaboration with several European project partners. The successful candidate will contribute to the research of the TRUMPET, FLUTE, and REDEEM projects, focusing on secure, privacy-preserving federated learning in settings with potentially malicious...
-
Scientific Researcher
il y a 2 jours
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...