Aktuelle Jobs im Zusammenhang mit Master Thesis: Efficient Hardware-Aware Multi-Task Learning for Edge Devices - Munich, Bayern - BMW Group
-
Munich, Bayern, Deutschland BMW Group VollzeitJoin Our Team as a Master Thesis ResearcherWe are seeking a highly motivated and skilled master student to join our team as a research assistant for a master thesis project focused on efficient deployment of vision transformer models.About the ProjectThe project aims to develop and optimize methods for the efficient deployment of vision transformer models on...
-
Munich, Bayern, Deutschland BMW Group VollzeitJoin Our Team as a Master Thesis ResearcherWe are seeking a highly motivated and skilled master student to join our team as a research assistant for a master thesis project focused on efficient deployment of vision transformer models.About the ProjectThe project aims to develop and optimize methods for the efficient deployment of vision transformer models on...
-
Munich, Bayern, Deutschland BMW Group VollzeitJoin Our Team as a Master Thesis ResearcherWe are seeking a highly motivated and skilled researcher to join our team as a Master Thesis researcher in the area of efficient latency estimation for Network Architecture Search (NAS).About the ProjectAccurately predicting the latency of neural architectures is a critical and challenging task in neural...
-
Munich, Bayern, Deutschland BMW Group VollzeitJoin Our Team as a Master Thesis ResearcherWe are seeking a highly motivated and skilled researcher to join our team as a Master Thesis researcher in the area of efficient latency estimation for Network Architecture Search (NAS).About the ProjectAccurately predicting the latency of neural architectures is a critical and challenging task in neural...
-
Munich, Bayern, Deutschland BMW Group VollzeitJoin Our Team as a Master Thesis ResearcherWe are seeking a highly motivated and skilled researcher to join our team as a Master Thesis researcher in the area of efficient latency estimation for Network Architecture Search (NAS).About the ProjectAccurately predicting the latency of neural architectures is a critical and challenging task in neural...
-
Munich, Bayern, Deutschland BMW Group VollzeitJoin Our Team as a Master Thesis ResearcherWe are seeking a highly motivated and skilled researcher to join our team as a Master Thesis researcher in the area of efficient latency estimation for Network Architecture Search (NAS).About the ProjectAccurately predicting the latency of neural architectures is a critical and challenging task in neural...
-
Munich, Bayern, Deutschland BMW Group VollzeitUnlock the Power of Continuous Learning in Machine Learning OperationsWe are seeking a highly motivated master student to join our team at the BMW Group and work on a Master thesis in the area of Continuous Learning and Data Acquisition in Machine Learning Operations (MLOps).MLOps aims to streamline the deployment, monitoring, and continuous development of...
-
Munich, Bayern, Deutschland BMW Group VollzeitUnlock the Potential of Machine Learning OperationsAt the BMW Group, we are seeking a highly motivated master student to contribute to the development of innovative machine learning operations. The successful candidate will work on the development and optimization of techniques for continuous learning and data acquisition within MLOps frameworks.Key...
-
Munich, Bayern, Deutschland BMW Group VollzeitUnlock the Power of Continuous Learning in Machine Learning OperationsAt the BMW Group, we are seeking a highly motivated master student to contribute to the development and optimization of techniques for continuous learning and data acquisition within Machine Learning Operations (MLOps) frameworks.Key Responsibilities:Research state-of-the-art continuous...
-
AI Engineer for Multi-modal Perception and Learning
vor 3 Wochen
Munich, Bayern, Deutschland BMW Group VollzeitUnlock Your Potential in AI-based Multi-modal Perception and LearningWe are seeking a highly motivated and skilled AI engineer to join our team in the area of multi-modal perception and learning. As an intern, you will contribute to the development of next-generation intelligent multi-modal interactive vehicles.Key Responsibilities:Develop and implement...
-
Munich, Bayern, Deutschland BMW Group VollzeitMaster Thesis Opportunity: Causal Discovery for Vehicle Quality DataIn recent years, the development of attention-based deep learning models has significantly enhanced our ability to interpret data and draw causal graphs, explaining the relationships between variables. These models surpass traditional causal discovery algorithms in terms of computational...
-
Master Thesis in Sound Design
vor 3 Wochen
Munich, Bayern, Deutschland BMW Group VollzeitJoin Our Team as a Master Thesis Sound DesignerWe are seeking a highly motivated and skilled Master Thesis Sound Designer to join our team at the BMW Group. As a Master Thesis Sound Designer, you will have the opportunity to work on cutting-edge technologies and develop novel approaches to Active Noise Control (ANC) problems.Key Responsibilities:Develop and...
-
Master Thesis in Sound Design
vor 3 Wochen
Munich, Bayern, Deutschland BMW Group VollzeitJoin Our Team as a Master Thesis Sound DesignerWe are seeking a highly motivated and skilled Master Thesis Sound Designer to join our team at the BMW Group. As a Master Thesis Sound Designer, you will have the opportunity to work on cutting-edge technologies and develop novel approaches to Active Noise Control (ANC) problems.Key Responsibilities:Develop and...
-
Master Thesis in Machine Learning Operations
vor 3 Wochen
Munich, Bayern, Deutschland BMW Group VollzeitUnlock the Potential of Machine LearningAt the BMW Group, we're pushing the boundaries of machine learning operations to drive innovation in the automotive industry. As a master's student, you'll have the opportunity to research and develop techniques for continuous learning and data acquisition, enhancing the efficiency and effectiveness of machine learning...
-
Munich, Bayern, Deutschland BMW Group VollzeitMaster Thesis Opportunity: Causal Discovery for Vehicle Quality DataIn recent years, the development of attention-based deep learning models has significantly enhanced our ability to interpret data and draw causal graphs, explaining the relationships between variables. These models surpass traditional causal discovery algorithms in terms of computational...
-
Munich, Bayern, Deutschland BMW Group VollzeitMaster Thesis Opportunity: Causal Discovery for Vehicle Quality DataIn recent years, the development of attention-based deep learning models has significantly enhanced our ability to interpret data and draw causal graphs, explaining the relationships between variables. These models surpass traditional causal discovery algorithms in terms of computational...
-
Munich, Bayern, Deutschland BMW Group VollzeitMaster Thesis Opportunity: Causal Discovery for Vehicle Quality Data using TransformersIn recent years, the development of attention-based deep learning models has significantly enhanced our ability to interpret data and draw causal graphs, explaining the relationships between variables. These models surpass traditional causal discovery algorithms in terms...
-
Munich, Bayern, Deutschland BMW Group VollzeitMaster Thesis Opportunity: Causal Discovery for Vehicle Quality Data using TransformersIn recent years, the development of attention-based deep learning models has significantly enhanced our ability to interpret data and draw causal graphs, explaining the relationships between variables. These models surpass traditional causal discovery algorithms in terms...
-
Munich, Bayern, Deutschland BMW Group VollzeitA Great Opportunity for Learning and GrowthWe are looking for a highly motivated and skilled individual to join our team as a research assistant in AI-based multi-modal perception and learning. As a research assistant, you will contribute to the development of next-generation intelligent multi-modal interactive vehicles.Key Responsibilities:Develop and...
-
Munich, Bayern, Deutschland BMW Group VollzeitJob DescriptionAs a master student in computer science or a related field, you will have the opportunity to work on a cutting-edge research project focused on causal discovery for vehicle quality data using transformer models. This project aims to leverage the power of attention-based deep learning models to understand the relationships between variables in...
Master Thesis: Efficient Hardware-Aware Multi-Task Learning for Edge Devices
vor 2 Monaten
Unlock the Potential of Edge AI
We are seeking a highly motivated and skilled master's student to join our team at the BMW Group and work on a challenging project in the area of efficient hardware-aware multi-task learning for edge devices.
About the Project
The primary objective of this master thesis is to develop an integrated framework that addresses the multifaceted challenges of multi-task optimization and resource constraints, enabling sustainable and high-performance operation of edge AI applications.
Key Responsibilities
- Conduct a literature survey of state-of-the-art methods in multi-task learning and efficient deployment of deep neural networks on edge devices.
- Implement novel methods for multi-task optimization and handling gradient conflicts, contributing to our PyTorch-based research stack.
- Engage in a diverse team with experience in publishing at international peer-reviewed conferences.
- Scientific writing of your thesis and presentation of the research results both at the university and industry.
Requirements
- Currently pursuing a master's degree in electrical engineering, computer science, or a comparable qualification.
- Knowledge in multi-task learning, resource allocation, model compression, and edge computing.
- Proficiency in Python, PyTorch, Docker, and Git.
- Familiarity with deploying deep neural networks on edge hardware.
- Highly motivated and eager to collaborate in a team.
- Business-fluent English, both written and verbal.
What We Offer
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Digital offers & mobile working.
- Attractive remuneration.
- Apartment offers for students (subject to availability & only Munich).
About the BMW Group
We see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy.
