Post-Doctoral Research Visit F/M Cooperative Inference Strategies

Company: Inria
Location: San Francisco
Posted on: May 3, 2025

Job Description:

Post-Doctoral Research Visit F/M Cooperative Inference StrategiesFonction: Post-DoctorantThe Inria centre at Universit-- C--te d'Azur includes 37 research teams and 8 support services. The centre's staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Universit-- C--te d'Azur, CNRS, INRAE, INSERM ...), but also with the regional economic players.With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Universit-- C--te d'Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.This Post-Doctoral position is funded by the challenge Inria-Nokia Bell Labs: LearnNet (Learning Networks).Research GoalGiven an AI model's placement in an IDN, we will study inference delivery strategies to be implemented at each node in this task. For example, a simple inference delivery strategy is to provide the inference from the local AI model if this seems to be accurate enough or to forward the input to a more accurate model at a different node if the inference quality improvement compensates for the additional delay or resource consumption. We will investigate more complex inference delivery strategies, which may allow inferences from models at different clients to be combined.In an IDN, models could be jointly trained on local datasets using federated learning algorithms. We will study how the selected inference delivery strategy may require changes to such algorithms to consider the statistical heterogeneity induced by the delivery strategy itself.ResponsibilitiesIf the selected candidate is interested, he/she may be involved in students' supervision (master and PhD level) and teaching activities.Minimum RequirementsCandidates must hold a Ph.D. in Applied Mathematics, Computer Science or a closely related discipline. Candidates must also show evidence of research productivity (e.g. papers, patents, presentations, etc.) at the highest level. We prefer candidates who have a strong mathematical background (on optimization, statistical learning or privacy) and are keen on using mathematics to model real problems and gain insights. The candidate should also be knowledgeable in machine learning and have good programming skills. Previous experience with PyTorch or TensorFlow is a plus.Benefits

• 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 (after 6 months of employment) and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
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Keywords: Inria, Pleasanton , Post-Doctoral Research Visit F/M Cooperative Inference Strategies, Other , San Francisco, California