海外全奖博士招生信息汇总·第81期：慕尼黑工大、港科大、宾夕法尼亚州立大学等

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目录 Catalogue

1. 慕尼黑工业大学招收全奖博士生/博士后

2. 德国达姆施塔特工业大学招收博士生

3. 香港科技大学招收博士生/博士后

4. 美国宾夕法尼亚州立大学招收博士生

01

慕尼黑工业大学招收全奖博士生/博士后

职位信息

截止日期：2022年10月6日

德国慕尼黑工业大学（TU Munich）计算机科学方向课题组有博士和博士后职位可申请，研究课题包括博弈论、电力市场设计以及在运输和物流中的应用，聘期两年起，薪资待遇优厚。

About the project

Postdoctoral/PhD position on optimization at the TU Munich

Applicants for the PhD position should hold a Master's degree in computer science or mathematics and may obtain a PhD degree in computer science.

Applicants for the postdoctoral position should hold a PhD degree in one of the mentioned disciplines. Applicants should have a strong theoretical background in convex and non-convex optimization and implementation skills.

Research topics in the group include game theory, electricity market design, as well as applications in transportation and logistics.

Prospective candidates will assist in teaching courses of the group. Salary (for both PhD students and postdocs) is according to German tariff E13. The position is available for an initial period of 2 years, but may be extended.  Please enclose a curriculum vitae including a complete list of publications and a sample publication (e.g., a Master'’s thesis).

How to apply

Applications should be sent to dss@in.tum.de by email using the subject line.

Application: Optimization" until October 6, 2022.

02

德国达姆施塔特工业大学招收博士生

职位信息

德国TU Darmstadt智能硬件计算中心招收两名硕士毕业生（已经毕业或者2022年底前毕业）攻读博士。研究方向为基于FPGA和数字电路的神经网络硬件加速设计。招生要求为具有神经网络和硬件电路设计方法基础。此职位净收入约为每月2300欧元（税前约4300欧元）。博士研究开始时间为2022年10月- 2023年1月中任何一个月。

About the Project 

Department of Electrical Engineering and Information Technology at the Institute of Computer Engineering – Hardware for Artificial Intelligence GroupOpen PhD Position for Exploring the Logic of Neural ComputingExpected starting date: Oct 01, 2022 - Jan 01, 2023Duration: 3 years with a possible extensionTasks:(1)This new PhD position aims to explore logic representation of AI algorithms, e.g., neural networks. Concrete topics of this position can include but not limited to:·Exploration of the conversion of neural networks into logic design·Extraction of the high-level descriptions of neural networks with the converted logic design·Exploration of various arithmetic operators and architectures to enhance the trustworthiness and efficiency of neural networks(2)Appropriate participation in administrative tasks, in teaching courses, and in supervising student work is expected.Requirements:·A completed master degree in electrical engineering, computer science or other related disciplines·The final grade should not be worse than "Good"·Detailed knowledge of digital designs, and proficiency in C, Python, VHDL/Verilog programming languages·A good understanding of AI algorithms, e.g., neural networks, or is strongly interested in exploring AI algorithms

About the more

Open PhD Position for Efficient AI Algorithm Implementation with FPGAsExpected starting date: Oct 01, 2022 - Jan 01, 2023Duration: 3 years with a possible extensionTasks:(1)This new PhD position aims to explore the efficient implementation of AI algorithms, e.g., neural networks, with FPGAs. Concrete topics of this position can include but not limited to:·Efficient implementation of neural networks taking advantages of the structure of FPGAs·Hardware-software codesign for AI algorithms and FPGA implementation·Maximum utilization of FPGAs for AI algorithms, e.g., neural networks(2)Appropriate participation in administrative tasks, in teaching courses, and in supervising student work is expected.Requirements:·A completed master degree in electrical engineering, computer science or other related disciplines·The final grade should not be worse than "Good".·Detailed knowledge of FPGAs, and proficiency in C, Python, VHDL/Verilog programming languages.·A good understanding of AI algorithms, e.g., neural networks, or is strongly interested in exploring AI algorithmsWe offer:·A creative and co-operative environment in a highly relevant research field·A variety of opportunities to present your research results at international conferences·Opportunity to co-operate with excellent scientists at home and abroad·Comprehensive scientific support, e.g. in the planning and preparation of your publications 

Notes

We look forward to receiving your detailed application, consisting of a cover letter in which you describe your interest in research in the specified field and your strengths and main areas of interest, a curriculum vitae, copies of bachelor and master transcripts, copies of certificates and references. Please send one PDF-file with max. 10 MB by email to: grace.zhang@tu-darmstadt.de, Prof. Dr.-Ing. Li Zhang, Hardware for Artificial Intelligence Group, Merckstr. 25, 64283 Darmstadt, Germany.

Application deadline: January 31, 2023

03

香港科技大学招收博士生/博士后

职位信息

香港科技大学计算机科学与工程系陈浩老师招聘多名博士生、博士后等岗位。陈老师致力于人工智能医疗交叉领域的前沿技术研究和临床应用，拥有丰富的学术和工业经验，为研究组提供充足的资源支持。

关于学校

香港科技大学(The Hong Kong University of Science and Technology)，简称港科大(HKUST)，是一所亚洲顶尖、国际知名的研究型大学(2022QS世界大学排行榜中位居世界第34名)。港科大坐落于香港清水湾半岛，依山而建，面朝大海，拥有着理想的科研环境。香港科技大学计算机科学与工程系在世界计算机学科排名中名列前茅。导师简介陈浩老师担任香港科技大学计算机科学与工程系助理教授，研究兴趣包括人工智能，医疗图像分析，深度学习，计算机视觉等。陈老师领导的人工智能医疗课题组，在MICCAI、IEEE-TMI、MIA、CVPR、AAAI、Radiology、Lancet Digital Health、Nature Machine Intelligence、JAMA等期刊和会议发表论文100余篇，谷歌学术引用一万六千余次（H-index 56）。此外，陈老师还具有丰富的工业研究经验，拥有十余项人工智能和图像分析专利。陈老师曾获得包括2019年医学影像计算顶级会议MICCAI青年科学家影响力奖、Elsevier-MICCAI 最佳论文奖、医学影像与增强现实会议最佳论文奖、Forbes China 30 under 30等多个奖项，担任包括IEEE TNNLS, IEEE JBHI, CMIG和Medical Physics等多个期刊编委，担任MICCAI 2021-2022、ISBI 2022、MIDL 2022、AAAI 2022 等多个人工智能与医学影像分析国际会议的领域主席和程序委员，曾带领团队获得15余项国际医学图像分析的挑战赛冠军。

招聘详情

博士后面向已取得医学影像分析、人工智能或计算机视觉等相关方向的博士，提供非常具有竞争力的薪资待遇，要求如下：

Strong programming in deep learning frameworks, e.g., Pytorch, Tensorflow, etc.

Experience in computer vision or machine learning projects is preferred.  

Publications in top-tier AI or computer vision conferences/journals such as MICCAI, CVPR, ICLR, NeuIPS, TMI, MIA, AAAI, IJCAI, etc, are preferred.

Strong self-motivation and curiosity are preferred.

博士生主要面向2023年秋季入学，提供全额博士生奖学金(每月约18500 港币)，特别优秀的推荐申请香港政府博士奖学金HKPFS(The amount of the HKPFS is around HKD26,600 per month, plus a travel allowance of HKD13,300 each year. In addition, HKUST gives each awardee a one-time reward of HKD40,000)。更多详情见港科大计算机系博士生招聘：https://cse.hkust.edu.hk/pg/admissions/学术主页个人主页：https://cse.hkust.edu.hk/~jhc/谷歌学术：https://scholar.google.com.hk/citations?user=Z_t5DjwAAAAJ&hl=en

申请方式

欢迎感兴趣的同学将简历、论文、成绩单和其他相关材料发送陈老师的邮箱jhc@ust.hk，请在邮件标题注明相关申请职位。

04

美国宾夕法尼亚州立大学招收博士生

职位信息

美国宾夕法尼亚州立大学（Pennsylvania State University）Dr. Huijuan Xu的实验室现有博士职位可申请，主要参与研究计算机视觉，自然语言处理和多模态学习等方向。

学校简介

宾夕法尼亚州立大学（Pennsylvania State University），简称宾州州立大学（Penn State或PSU），是位于美国宾夕法尼亚州的一所州立研究型大学。宾夕法尼亚州立大学主校区为大学公园（University Park），是美国顶尖的公立大学，被誉为公立常春藤之一。主校区在2023年QS世界大学排名中排名第93位，在校学生人数46,723人，其中计算机科学美国排名约第30位（CS ranking, QS, USNews等多项排名）。

导师简介

Huijuan Xu是Pennsylvania State University--University Park助理教授。老师目前的研究方向为computer vision, vision and language, 在action detection等领域有代表性的工作, 例如R-C3D等。老师目前正在招收对计算机视觉，自然语言处理和多模态学习等感兴趣的优秀博士生。实验室主页：https://visionlanguagelab.github.io/

招生要求

1. 有计算机/数理等相关理工科背景，对研究充满热情，自我驱动2. 有扎实的编程基础，熟练使用深度学习框架（例如pytorch等）3. 曾参与深度学习研究，有项目、比赛、顶会发表经验加分

联系方式

请有意愿申请的同学将简历和成绩单发送至邮箱：hkx5063@psu.edu

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