Aktuelle Jobs im Zusammenhang mit Master Thesis: Efficient Deployment of Vision Transformer Models for Edge Devices - Munich, Bayern - BMW Group
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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 interpret data and draw causal graphs, explaining...
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Causal Discovery Expert for Vehicle Quality Data
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vor 3 Wochen
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Master Thesis Opportunity in Alpine Ecosystems
vor 3 Wochen
Munich, Bayern, Deutschland Technical University of Munich VollzeitMaster Thesis in Environmental SciencesWe are seeking a master's student to investigate plant-pollinator networks in grassland ecosystems of the Berchtesgaden National Park. The project focuses on the impact of woody encroachment on biodiversity.As a member of our research team, you will have the opportunity to contribute to a comprehensive study on...
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Master Thesis: Efficient Deployment of Vision Transformer Models for Edge Devices
vor 2 Monaten
Unlock the Potential of Vision Transformers
We are seeking a highly motivated master student to join our team at the BMW Group and work on a challenging project focused on the efficient deployment of vision transformer models on edge devices.
About the Project
The project aims to develop and optimize methods for the efficient deployment of vision transformer models on edge devices, ensuring high performance while minimizing computational and memory overheads.
Key Responsibilities
- Research state-of-the-art efficient deployment strategies for vision transformer models on embedded platforms.
- Implement a novel efficient deployment strategy, contributing to our PyTorch-based research stack.
- Utilize our cutting-edge training infrastructure and platforms to conduct experiments and evaluate your approach efficiently.
- Present the thesis results using the scientific method, both in written and oral formats.
- Collaborate with an experienced team that has published at international peer-reviewed conferences.
- Engage with an international and diverse team of doctoral candidates and students at the BMW Group.
Requirements
- You are a master student approaching the end of your degree in computer science or related fields with a focus on machine learning or artificial intelligence.
- You have strong knowledge in computer vision concepts, tasks, and vision transformers.
- You have excellent programming skills in Python, PyTorch, and worked with modern programming environment tools such as Docker and Git.
- You speak English fluently.
- You are driven by curiosity and motivated to solve problems independently as well as sharing ideas and working in a team.
What We Offer
- Comprehensive mentoring and onboarding.
- Personal and professional development.
- Flexible working hours.
- Digital offers and mobile working.
- Attractive remuneration.
- Apartment offers for students (subject to availability).
