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加入新泽西理工学院高性能计算实验室
新泽西理工学院(NJIT)高性能计算(HPC)实验室由杰出教授David A. Bader领导,现招募优秀的博士生,致力于推动并行与分布式计算、数据科学以及高性能算法在实际应用中的前沿研究。 研究方向
本研究团队专注于解决大规模分析、网络安全和计算科学领域的重大挑战。我们开发创新的并行算法和架构,以处理海量数据流、图分析和实时数据分析。研究涵盖理论基础与实际应用,并在现实世界中产生深远影响。
核心研究领域包括:- 大规模图分析与网络科学
- 高性能数据分析与人工智能
- 实时流数据分析
- 并行算法设计与实现
- 网络安全与异常检测
- 高性能计算架构
为什么加入我们的实验室?- 与国际公认的高性能计算与数据科学领域领军人物David A. Bader教授共事
- 享有最先进的计算设施与基础架构
- 与顶尖行业合作伙伴及国家实验室合作
- 参与基础研究与实际应用相结合的项目
- 加入纽约大都会区充满活力的研究社区
- 为符合条件的候选人提供具有竞争力的资助计划
申请资格
优秀的候选人应具备:- 计算机科学、计算机工程或相关领域的硕士或学士学位
- 出色的编程技能(C++、Python、并行编程)
- 扎实的算法与数据结构基础
- 对并行计算和高性能计算有经验或兴趣
- 杰出的学术成绩与研究潜力
- 优秀的书面和口头沟通能力
申请方式
有兴趣的候选人请:
加入我们,共同推动高性能计算与数据科学的发展,解决社会最紧迫的计算挑战!
更多信息请访问:
https://davidbader.net/
Join the High Performance Computing Lab at New Jersey Institute of Technology
The High Performance Computing (HPC) Lab, led by Distinguished Professor David A. Bader at the New Jersey Institute of Technology (NJIT), is seeking exceptional PhD students interested in pushing the boundaries of parallel and distributed computing, data science, and real-world applications of high-performance algorithms.Research FocusOur group is at the forefront of solving grand challenges in massive-scale analytics, cybersecurity, and computational science. We develop innovative parallel algorithms and architectures for processing massive data streams, graph analytics, and real-time data analysis. Our work spans both theoretical foundations and practical implementations that make a real-world impact.
Key research areas include:
- Massive-scale graph analytics and network science
- High-performance data analytics and artificial intelligence
- Real-time streaming analytics
- Parallel algorithm design and implementation
- Cybersecurity and anomaly detection
- High-performance computing architecturesWhy Join Our Lab?
- Work with Distinguished Professor David A. Bader, an internationally recognized leader in high-performance computing and data science
- Access to state-of-the-art computing facilities and infrastructure
- Collaborate with leading industry partners and national laboratories
- Engage in both foundational research and real-world applications
- Join a vibrant research community in the New York metropolitan area
- Competitive funding packages available for qualified candidatesQualifications
Strong candidates will have:
- A Master's or Bachelor's degree in Computer Science, Computer Engineering, or related field
- Excellent programming skills (C++, Python, parallel programming)
- Strong background in algorithms and data structures
- Experience or interest in parallel computing and high-performance computing
- Outstanding academic record and research potential
- Excellent written and verbal communication skillsHow to Apply
Interested candidates should:
1. Review our lab's recent publications at https://davidbader.net/
2. Submit your application to the NJIT Data Science PhD program or the Computer Science PhD program
3. Email Prof. Bader (bader@njit.edu) with:
- Your CV/resume
- Research statement
- Academic transcripts
- Brief description of your research interests and how they align with our lab's focus
Join us in advancing the frontiers of high-performance computing and data science while solving some of society's most pressing computational challenges.
For more information about our research group and ongoing projects, visit:
https://davidbader.net/ |
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