PhD Researcher in Federated Learning and Byzantine-Robust Algorithms

Job DescriptionThis PhD position is a collaboration between two Inria research teams. The main goal of this PhD is to investigate the design of decentralized algorithms that are both robust and differentially private. The applicant is expected to have studied machine learning and/or optimization, and to have good mathematical skills. Some knowledge in...

About the PositionThis PhD research position is a collaboration between two Inria research teams. The successful candidate will work on designing decentralized algorithms that are both robust and differentially private.Research ObjectivesThe main goal of this PhD is to answer the question of when privacy and robustness are mutually beneficial in...

Context and Advantages of the PositionThis PhD research position is a collaboration between two Inria research teams, offering a unique opportunity to work on cutting-edge topics in decentralized machine learning and trustworthy AI.Research ObjectivesThe main goal of this PhD is to investigate the intersection of privacy, robustness, and utility in...

The UMR IATE-INRAE is seeking a highly motivated PhD Researcher to contribute to the Horizon Europe project AGRILOOP. This project aims to develop innovative bioproducts from agricultural residues, promoting a "zero-waste" society. The successful candidate will be involved in the extraction of biomolecules such as polyphenols and carotenoids, and their...

The UMR IATE-INRAE is seeking a highly motivated PhD Researcher to join our team in the development of novel bioproducts from agricultural residues. The successful candidate will be involved in the Horizon Europe project AGRILOOP, which aims to push the frontier of circular agriculture by converting residues into economic, social, and environmental...

PhD Training Network on Transcriptional NoiseWe are seeking highly motivated PhD students to join our training network on transcriptional noise in development and disease. Our research focuses on understanding the mechanisms and functions of transcriptional noise in two biological models: Drosophila embryos and HIV-1 latency.Fellowship 1: Mathematical...

Postdoctoral Researcher in Policy Learning under Distributional ShiftsAt INRIA, we are seeking a highly motivated postdoctoral researcher to join our team and contribute to the development of innovative research on causal inference.Research Project:The recruited person will work under the supervision of Julie Josse to conduct research on policy learning...

Researcher Position in Circular AgricultureThe PhD researcher will be involved in the Horizon Europe project AGRILOOP, aimed at eco-efficiently upgrading underexploited agricultural residues into high-added-value bioproducts. This project is coordinated by N. Gontard (INRAE) and involves 37 partners from various countries.In this project, the joint research...

Transcriptional Noise Research OpportunitiesWe are seeking highly motivated PhD students to join our training network on transcriptional noise in development and disease. Our research focuses on understanding the mechanisms and functions of transcriptional noise in living cells.Research ProjectsMathematical Modelling of HIV-1 Transcription: We will...

Job OfferINRIA, a world-class research institution, is seeking a highly skilled Research Scientist to join our team.About the JobWe are looking for an exceptional individual to conduct innovative research on policy learning under distributional shifts in collaboration with our expert team.Key ResponsibilitiesDevelop transportability estimators for policy...

Job Description:We are seeking a highly motivated Research Engineer to join our team at INRAE, ABSys lab.About the Position:The successful candidate will be responsible for applying machine learning techniques to simplify a process-based tree-crop model, specifically Hi-sAFe. The goal is to create a meta-model that can rapidly evaluate different systems in...

Postdoctoral Research Visit: Policy Learning under Distributional ShiftsAt INRIA, we are seeking a highly skilled postdoctoral researcher to join our team and contribute to the development of innovative research on causal inference.Mission ConfieeThe recruited person will work closely with Julie Josse to conduct cutting-edge research on policy learning under...

Join our team at INRAE, ABSys lab, and contribute to the development of a meta-model for the hi-sAFe model using machine learning techniques. Your mission will be to apply machine learning algorithms to simplify the process-based tree-crop model and make quick evaluations of different systems in various pedoclimatic and management conditions.Key...

About WorldFishWorldFish is a leading international research organization working to transform aquatic food systems to reduce hunger, malnutrition, and poverty. It collaborates with international, regional, and national partners to co-develop and deliver scientific innovations, evidence for policy, and knowledge to enable equitable and inclusive impact for...

Research Postdoctoral Position: Policy Learning under Distributional ShiftsLe descriptif de l'offre ci-dessous est en AnglaisType de contrat : CDDNiveau de diplôme exigé : Thèse ou équivalentFonction : PostdoctorantA propos du centre ou de la direction fonctionnelleThe Inria centre at Université Côte d'Azur is a major player in terms of scientific...

Fixed-term position (12 months)Meta-Modeling for Efficient Crop ModelingWe are seeking a highly motivated Research Scientist to join our team at INRAE, ABSys lab. The successful candidate will have an engineering degree in machine learning, statistics or applied mathematics with a willingness to learn principles of agronomy and to understand crop modeling,...

Fixed-term position (12 months)Metamodelling: Simplifying Crop Modeling with Machine LearningScientific ContextPlant modeling has a rich history, dating back to the 1960s. The field has matured in predicting crop yields under environmental conditions. However, with the increasing importance of agroecology, more research focuses on modeling crops in...

Fixed-term position (12 months)Metamodeling: Machine Learning for Crop ModelingScientific ContextThe field of plant modeling has reached maturity in monocrop conditions, but agroecology demands more complex models. Simulation tools are needed to understand agroforestry systems, which include diverse combinations of tree and crop species. One such model is...

Job SummaryThe International Food Policy Research Institute (IFPRI) seeks a highly qualified candidate to serve as a Senior Research Fellow for its Nutrition, Diets and Health Unit. This position is based at IFPRI headquarters in Washington, D.C., with frequent travel to countries where IFPRI conducts research. The successful candidate will lead complex,...

About the Role:CIP is seeking an experienced Country Manager and Scientist to lead the design and implementation of the CIP Rwanda Country strategy. The successful candidate will position CIP's research and development agenda in Rwanda and the Great Lake region, coordinating with project Principal Investigators and Global Science Leaders to integrate and...