PhD Researcher in Efficient Neural Representation of Datasets
vor 1 Monat
We are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH. As a PhD researcher, you will be working on developing novel approaches to adapt deep generative models as data sources to better train and validate downstream models.
The goal of this PhD project is to develop new learning algorithms for generating relevant data on demand in response to the need of the target network. This includes improving training efficiency by synthesizing the most relevant data, enforcing desired invariance by creating examples, and more.
As part of our team, you will be working closely with deep learning and computer vision experts at Bosch Center for AI. You will have the opportunity to discuss and develop new ideas, publish research papers in top-tier journals and conferences, and contribute to the development of cutting-edge deep learning technologies.
We are looking for a candidate with a strong background in deep learning and computer vision, experience with deep learning frameworks, and strong programming skills. Knowledge and experience in deep generative modeling and foundation models are a plus. If you are motivated to work in an interdisciplinary and international team, we encourage you to apply.
Please submit your application, including your curriculum vitae, certificates, and any other relevant documents. We offer great opportunities for mobile working and different part-time models or job-sharing. Diversity and inclusion are firmly anchored in our corporate culture, and we welcome all applications.
For more information about the job, please contact Jiayi Wang or Anna Khoreva.
-
Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Efficient Neural Representation of DatasetsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH. The successful candidate will be working on developing novel deep generative models for efficient neural representation of datasets.The goal of this project is to develop new learning algorithms for generating...
-
Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Efficient Neural Representation of DatasetsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH. The successful candidate will be working on developing novel deep generative models for efficient neural representation of datasets.The goal of this project is to develop new learning algorithms for generating...
-
Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Efficient Neural Representation of DatasetsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH. The successful candidate will be working on developing novel approaches to adapt deep generative models as data sources to better train and validate downstream models.The goal of this PhD project is to develop...
-
Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Efficient Neural Representation of DatasetsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH. The successful candidate will be responsible for developing novel approaches to adapt deep generative models as data sources to better train and validate downstream models.The ideal candidate will have a strong...
-
Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsRobert Bosch GmbH is seeking a PhD researcher to contribute to the development of explainable knowledge graph completion methods for intelligent manufacturing systems.The successful candidate will research innovative Neuro-Symbolic methods to improve knowledge graph...
-
Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob Title:PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsJob DescriptionBosch is seeking a highly motivated PhD researcher to work on a project focused on explainable knowledge graph completion for intelligent manufacturing systems. The successful candidate will contribute to the development of novel...
-
Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob Title:PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsJob DescriptionBosch is seeking a highly motivated PhD researcher to work on a project focused on explainable knowledge graph completion for intelligent manufacturing systems. The successful candidate will contribute to the development of novel...
-
Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsRobert Bosch GmbH is seeking a PhD researcher to contribute to the development of explainable knowledge graph completion methods for intelligent manufacturing systems.The successful candidate will research innovative Neuro-Symbolic methods to improve knowledge graph...
-
Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob DescriptionKnowledge Graphs (KGs) play a crucial role in Smart Manufacturing, enabling the harmonization and sharing of data across various applications. However, the heterogeneity and quality issues in these graphs necessitate continuous updates and improvements through knowledge graph completion (KGC) methods like Link Prediction or Node...
-
Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob DescriptionProject OverviewKnowledge Graphs (KGs) have proven to be a key factor in fostering the success of Smart Manufacturing systems. In these contexts, data needs to be semantically harmonized and made available for various applications.Due to the high level of heterogeneity and underlying data quality, continuous updating and improvement of KGs...
-
Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob Title: PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsAt Bosch, we are seeking a highly motivated PhD researcher to join our team and contribute to the development of explainable knowledge graph completion methods for intelligent manufacturing systems. The successful candidate will work on innovative...
-
Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob Title: PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsAt Bosch, we are seeking a highly motivated PhD researcher to join our team and contribute to the development of explainable knowledge graph completion methods for intelligent manufacturing systems. The successful candidate will work on innovative...
-
Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH to work on a project focused on Explainable Knowledge Graph Completion for Intelligent Manufacturing Systems.The successful candidate will have the opportunity to work on a...
-
Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsWe are seeking a highly motivated PhD researcher to join our team at Robert Bosch GmbH to work on a project focused on Explainable Knowledge Graph Completion for Intelligent Manufacturing Systems.The successful candidate will have the opportunity to work on a...
-
PhD Researcher in AI-Driven HVAC Optimization
vor 2 Wochen
Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH VollzeitPhD Researcher in AI-Driven HVAC OptimizationWe are seeking a highly motivated PhD researcher to join our team and contribute to the development of innovative AI-driven methods for optimizing HVAC systems.The successful candidate will have a strong background in AI, machine learning, and optimization, and will be responsible for developing and implementing...
-
Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob Title: PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing SystemsJob Description:Knowledge Graphs (KGs) have proven to be a key factor in fostering the success of Smart Manufacturing. The data generated in these contexts needs to be semantically harmonized and made available for a myriad of applications. However, due...
-
Renningen, Baden-Württemberg, Deutschland Bosch Gruppe VollzeitJoin Our Team as a PhD Researcher in Explainable Knowledge Graph CompletionWe are seeking a highly motivated PhD researcher to join our team at Bosch Gruppe. As a PhD researcher, you will be working on the development of explainable knowledge graph completion methods for intelligent manufacturing systems.Key Responsibilities:Develop and implement novel...
-
Renningen, Baden-Württemberg, Deutschland Bosch Gruppe VollzeitJoin Our Team as a PhD Researcher in Explainable Knowledge Graph CompletionWe are seeking a highly motivated PhD researcher to join our team at Bosch Gruppe. As a PhD researcher, you will be working on the development of explainable knowledge graph completion methods for intelligent manufacturing systems.Key Responsibilities:Develop and implement novel...
-
Renningen, Baden-Württemberg, Deutschland Bosch VollzeitJob DescriptionKnowledge Graphs (KGs) play a crucial role in Smart Manufacturing, enabling the harmonization and sharing of data across various applications. However, the heterogeneity and quality issues in these graphs necessitate continuous updates and improvements through knowledge graph completion (KGC) methods like Link Prediction or Node...
-
PhD Researcher in AI-Driven HVAC Optimization
vor 3 Wochen
Renningen, Baden-Württemberg, Deutschland Bosch Gruppe VollzeitUnlock the Potential of AI-Driven HVAC OptimizationBosch Gruppe is seeking a highly motivated PhD researcher to join our team and contribute to the development of innovative AI-driven optimization tools for HVAC systems. As a key member of our research team, you will work on the conception of tools for the semi-automatic creation of optimization models for...
