计算机体系结构与操作系统方向博士职位
Join the TUM Professorship of Mobility Policy starting October 1, 2025, as a doctoral researcher in the DFG-funded Collaborative Research Center „AgiMo“ TRR 408.
原帖优先：申请材料、截止时间与资格以原帖和学校官方说明为准。
AI 中文速览
- 研究内容
- 项目与奥迪合作，旨在探索和开发用于车辆高效边缘部署的AI算法、框架和硬件架构，重点关注神经形态计算。
- 申请条件
- 申请者需拥有计算机科学、电气工程或相关学科的硕士学位，具备机器学习、脉冲神经网络和计算机体系结构方面的强大专业知识，且流利使用英语。
- 待遇
- 提供学术与工业研究相结合的高度跨学科环境、灵活的工作时间、30天带薪休假、托儿支持，薪资根据TV-L标准发放并享有公共部门福利。
- 申请方式
- 请将个人简历及简短的业绩记录发送至指定的电子邮箱（Michaela.Boxdoerfer@tum.de）。
- 材料清单
- 个人简历 (CV)
- 简短的业绩记录（发表论文、项目、软件、资助经历等）
由 gemini-2.5-flash-lite 生成，博士岗判定置信度 95%。
结构化信息
- 截止
- 原帖未给出
- 学科
- 计算机科学
- 合同类型
- 雇佣合同
- 本站收录
- 内容更新
- 导师
- Carsten Trinitis
- 来源
- Technische Universität München 官方招聘 · 最近核对 2026-10-09
- 详情核验
判定依据（原文摘录）
- is_phd
as a doctoral researcher in the DFG-funded Collaborative Research Center
- english_ok
• Fluent in English.
- bachelor_ok
• MSc in Computer Science, Electrical Engineering, or a related discipline.
原文
Wissenschaftliches Personal
29.09.2025, Academic staff
News from section :
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About us The Professorship for Computer Architecture and Operating Systems at TUM Campus Heilbronn covers a broad range of research focus areas in computer architecture, parallel processing and hardware-oriented applications and optimisations as well as operating systems. The project will be carried out in close cooperation with Audi in Ingolstadt and Neckarsulm, aiming to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. You will be part of the scientific TUM HN Team of Prof. Carsten Trinitis as well as of the Audi Data & AI Team (Dr.-Ing. Benjamin Hadwiger and Dr.-Ing. Florian Meyer) in Neckarsulm. Requirements • MSc in Computer Science, Electrical Engineering, or a related discipline. • Strong expertise in machine learning, spiking neural networks, and computer architecture. • Excellent programming and research skills. • Interest in translational research and interdisciplinary collaboration with the automotive industry. • Ability to think and act in a networked manner and to work in a team. • Experience in project coordination, supervision, or grant application is an advantage. • Fluent in English. Responsibilities • Collaborate closely with colleagues at Audi to ensure clinical relevance and translational impact. • Literature & Benchmarking: Review and evaluate state-of-the-art in neuromorphic computing. • Algorithm Development: Design and train SNNs tailored to automotive tasks. • Select and design appropriate edge hardware platforms for deploying SNNs in cars. • Optimise AI training and inference algorithms for specific edge hardware platforms. • Implement and test models on neuromorphic hardware. • Contribute to research proposals and funding applications. • Publish and present findings in international journals and conferences. We offer • A highly interdisciplinary environment combining academic and industrial research. • Access to state-of-the-art infrastructure. • Opportunities to develop an independent research profile. • Flexible working hours, 30 days of holidays, childcare support. • Salary according to TV-L plus attractive public-sector benefits.
Application Please send your CV and a brief track record (publications, projects, software, funding experience if applicable) to Michaela.Boxdoerfer@tum.de . We appreciate your interest in the Technical University of Munich and your application for this position. By submitting your application, you provide us with personal data. Please note our data protection information according to Art. 13 of the General Data Protection Regulation (GDPR) on the collection and processing of personal data in the context of your application. Severely disabled applicants will be given preferential consideration if equally qualified. Application costs cannot be reimbursed.