Positions with funding already secured by the team:
- In 2023 we have multiple openings for PhD, postdoc, and intern positions related to distributed Machine Learning. All positions are based in Sophia Antipolis, unless otherwise mentioned. If interested in a position for which no specific application link is provided, you can directly contact Giovanni Neglia
- A PhD position co-supervised with Aurélien Bellet on the role of communication topology in decentralized Federated Learning, in the framework of Inria FedMalin challenge. Application site.
- A PhD position (based in Lyon) co-supervised with Malcolm Egan and Jean-Marie Gorce (Inria) to work on Federated Learning on Data Streams (with temporal/spatial correlations), in the framework of Inria FedMalin challenge. Application site.
- A PhD position (based in Paris) on Distributed Training of ML Models with Heterogeneous Architectures, in cooperation with Fabio Pianese, Tianzhu Zhang, and Calvin Chen (Nokia Bell Labs), in the framework of Nokia-Inria partnership. Application site.
- A 18-month postdoc position (extendable up to 30 months) on Distributed Machine Learning at the Network Edge. Application site.
- A 18-month postdoc position (likely based in Paris) on Internet-wide Cooperative Machine Learning Inference, in cooperation with Fabio Pianese, Tianzhu Zhang, and Calvin Chen (Nokia Bell Labs), Nadjib Achir and Aline Carneiro (Inria), in the framework of Nokia-Inria partnership.
- A 18-month postdoc position on Training of Inference Delivery Networks, in cooperation with Fabio Pianese, Tianzhu Zhang, and Calvin Chen (Nokia Bell Labs), Chuan Xu and Aurelien Bellet (Inria), in the framework of Nokia-Inria partnership.
- An internship position on Federated Learning for Heterogeneous Model Architectures
- An internship position on Semi-Decentralized Federated learning
- An internship position on Differential Privacy and Byzantine Resilience in Federated Learning
An internship position on Decentralized Clustered Federated LearningA PhD position co-supervised with Chuan Xu and Aurélien Bellet on Alternative Approaches for Privacy-Preserving in Federated Learning. Application site.A PhD position on Incentives for Federated Learning funded by 3IA Côte d’Azur Interdisciplinary Institute on Artificial Intelligence.An internship position (based in Paris) on Federated Learning for Energy Data, in cooperation with Tahar Nabil, Richard Niamke (EDF Lab).
2-year Postdoc position on Energy-aware Federated Learning in cooperation with Accenture Labs.2-year Engineer position on Energy-aware Machine Learning Training in cooperation with Accenture Labs.Postdoc position on Distributed Phy-aware Caching Policies for 5G Cellular NetworksPostdoc position on Memory-augmented Models for low-latency Machine-learning Serving.PhD thesis on Distributed Machine Learning for IoTin cooperation with Accenture Labs.Postdoc position on Low-Latency Machine Learning Prediction Servicesin cooperation with Nokia Bell Labs.Postdoc position on NFV Application Designin cooperation with Nokia Bell Labs. Based at Nokia Bell Labs – Paris.Postdoc position on Resource Allocation Games for Slices in 5G Networksas part of the ANR project MAESTRO 5G.
Positions in the framework of competitive calls:
- MSCA Postdoctoral Fellowship to work with Giovanni Neglia or Samir Perlaza
- PhD on Sustainable Distributed Machine Learning in the framework of 3IA Côte d’Azur, the local institute on Artificial Intelligence. The call is here. Application deadline:
March 27th 2020past. - Postdoc on Impatient customers in queueing systems: Characterizing their process (application deadline:
21 April 2019past). - Postdoc on Content-aware caching in Multi-access Edge Computing (MEC) architectures (application deadline:
21 April 2019past). - Postdoc on Distributed Optimization for Large-scale Machine Learning (application deadline:
21 April 2019past). - Postdoc on Federated Learning (application deadline:
21 April 2019past). - PhD on Content-aware caching in Multi-access Edge Computing (MEC) architectures (application deadline:
5 May 2019past). - PhD on Low-Latency Machine Learning Prediction Services (application deadline:
5 May 2019past). - PhD on Federated Learning (application deadline:
5 May 2019past).
Internships:
Master research internship on optimal decision for prefetching.
