Assistant/Associate Professor on Deep Learning for Multimodal Data - CDI

2024-07-18 Palaiseau, Île-de-France

Télécom Paris is looking for a new Lecturer specialized in Deep Learning for Multimodal Data for the Images, Data and Signal (IDS) department at Télécom Paris. As a member of a dynamic team, you will contribute to research and teaching in a stimulating and innovative environment.

Your main missions will be to : Participate in cutting-edge research projects in deep learning applied to multimodal data Teach and mentor students in the field of deep learning and multimedia technologies Collaborate with researchers and industry professionals to develop innovative solutions Contribute to the publication of scientific articles and the dissemination of research results Job requirements The ideal candidate will hold a PhD in computer vision, mac... More

Postdoc position offer - Institut 3IA Côte d'Azur - Deep Latent Variable Models for the Analysis of Massive Evolving Heterogenous Data

2024-07-10 Nice

The purpose of this postdoc position, within the Institut 3IA Côte d'Azur (Univ. Côte d’Azur & INRIA), will be focused on the development and the understanding of deep latent variables models for unsupervised learning with massive and evolving heterogenous data.

A first goal of this Ph.D. will be to propose a generative DLVM model specifically designed for massive evolving heterogenous data. Regarding the problem of model selection in this context, some preliminary studies we performed have highlighted the surprising fact that the evidence lower bound of the fitted model may be used as a model selection criterion in some extent. This strongly suggests revisiting the study of these latent variable models with a Bayesian point of view and to understa... More

Postdoctoral Research Fellow (f/m/d) in Probabilistic Learning and Methods for Big Data at KIT

2024-07-04 Karlsruhe

The Karlsruhe Institute of Technology (KIT) offers a position as Postdoctoral Research Fellow at their Scientific Computing Center (SCC).

The newly established Research Group Methods for Big Data starting in August 2024 at the Scientific Computing Center welcomes applications for a postdoctoral research fellow (f/m/d) In this project you will: develop novel methods that leverage the potential of statistical learning and Bayesian (Deep) Learning investigate the theoretical properties of the developed algorithms implement the developed methods contribute to joint research inside the group publish the results at l... More

Research Associate in Continual Machine Learning at the Edge

2024-07-03 Edinburgh

The School of Informatics at the University of Edinburgh is inviting applications for a Research Associate in Machine Learning and Artificial Intelligence with a particular focus on method development for Edge Devices, Scenarios and Environments. The successful candidate will be directly working with Amos Storkey (Principle Investigator) in the School of Informatics, and Elliot Crowley (co investigator) in the School of Engineering. The post will be based in Informatics.

We seek candidates to join the dAIEdge project and network grant – working towards the development of machine learning and AI methods for edge devices. This would be suitable for machine learning or machine learning systems researchers in computer science, engineering, or from other disciplines.  The successful candidate will have a strong machine learning portfolio, and a knowledge of computer systems. The researcher will engage in cutting edge research in the field, and develop strong netwo... More

Junior Professor (tenure track) in Spoken Language Technologies

2024-07-02 Leuven

KU Leuven has a full-time academic vacancy for a junior tenure-track professor in the Group Science, Engineering and Technology at the Faculty of Engineering Science and the Department of Electrical Engineering (ESAT), in the field of spoken language technologies.

Like many areas in AI, spoken language technologies have made a major leap forward thanks to novel neural network architectures and drawing on massive amounts of training data. Applications that were beyond the state of technology ten years ago, such as live subtitling of meetings or speech-to-text translation, are now available – at least for well-resourced languages resp. language pairs. However, many challenges remain in automatic speech recognition, speech-to-text translation and spok... More

Research Scientist Position: Machine Learning to Improve Climate Models at the DLR Institute of Atmospheric Physics

2024-06-18 near Munich

The Department Earth System Model Evaluation and Analysis of the Institute of Atmospheric Physics at the German Aerospace Center (DLR-IPA) invites applications for a research scientist position in the field of improving climate models with machine learning (ML) as part of the ERC Synergy Grant "Understanding and Modelling the Earth System with Machine Learning (USMILE)".

The scientist will work with Prof. Veronika Eyring, Head of the department and Professor of Climate Modelling at the University of Bremen, and her team as well as collaborating institutions to develop an ML-enhanced version of the Icosahedral nonhydrostatic (ICON) Earth system model, ICON-ML. The tasks include the following New developments and application of machine learning methods for ICON-ML Development of ML-based parameterizations for ICON-ML Implementation of the... More

Tenure-Track Assistant, Associate, or Full Professor in Computer Science

2024-06-13 Copenhagen

The Department of Computer Science at the University of Copenhagen invites applications for a number of positions as Tenure-Track Assistant Professor, Associate Professor, or Full Professor in Computer Science.

We offer:     • 1 position earmarked for research in ML (NeurIPS/ICML/COLT - style)     • 2-3 positions in Trustworthy ML     • 1 position with no topic restrictions (all areas in Computer Science) Application deadline: 1 September 2024. Application website (for all the positions): If you have questions about the position in ML, you are welcome to contact the Head of t... More