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中国科学院自动化研究所

职位描述

职位类型:软件/大数据/人工智能

有效日期:2022-01-15

工作地点: 北京 中国科学院自动化研究所

薪资待遇:10k

工作时限:2-6个月

职位描述:

岗位职责:负责配合在研软件系统的方案设计,支持数据分析方案设计与执行;与软件开发人员紧密合作,配合提供大规模人口统计,大规模人群偏好工具研发;负责观察性研究相关论文的撰写与发表;

任职要求: 应用数学或统计学相关领域博士学位或在读博士;或硕士学位,具有3年及以上使用大数据开展某类(例如社交行为)观察性研究的相关经验,有互联网相关的经验者优先考虑;至少掌握一种用于统计建模的统计软件的经验; 有协作大规模人口统计、群众满意度调查工具的经验者优先; 能独立开展工作,自驱力强;

联系方式: 010-82544744  简老师

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深度学习框架高级研发工程师(分布式系统)

工作内容:

1. 分布式深度学习框架系统核心技术研发;
2. OneFlow系统架构设计;
3. 分布式系统优化,底层性能(GPU计算、存储、通信)优化;
4. 深度学习框架、深度学习编译器底层核心技术、异构网络集群调度、AutoML等前沿问题的探索与研究,实现技术创新与突破。

职位要求 :

1. 知名高校硕士/博士学历,计算机相关专业;
2. 对大型C++分布式系统工程有丰富开发经验,熟悉常见软件设计范式;
3. 对复杂系统编程有扎实的理解和认识,如多线程、内存、网络、IO、编译等;
4. 熟悉GPU等硬件架构,精通CUDA、cuDNN、NCCL,有性能调优经验;
5. 系统掌握计算机体系结构知识,了解不同计算硬件、AI芯片的体系结构特点;
6. 对AI系统有技术热情,对前沿技术攻坚有浓厚的兴趣和追求,热衷于追求技术极致与创新;
7. 有深度学习编译器开发经验者优先,熟悉XLA、TVM、MLIR等;
8. 参与过大型开源项目开发/设计者优先(附上github账号);
9. 发表过AI算法、系统等领域论文者优先。
我们期望候选的同学或者经验丰富;或者创造力强;或者自驱力强、学习能力强。

简历发送至:hr@oneflow.org

深度学习框架研发工程师

工作内容:

1. 负责深度学习框架OneFlow开发与性能优化;
2. 负责OneFlow CPU/GPU高性能算子库研发 ;
3. 负责OneFlow Model Zoo项目,完成经典模型搭建以及SOTA结果复现、研究与优化;
4. 负责深度学习框架OneFlow接口设计;
5. 负责深度学习框架OneFlow与各种AI芯片部署、适配。

职位要求 :

(一)框架开发方向
1. 熟练掌握C++、Python;
2. 熟悉GPU(CUDA、cuDNN、NCCL)编程;
3. 良好的软件开发素养,包括TDD、CI/CD、敏捷开发流程等;
4. 掌握Linux操作系统、设计模式、网络通信、内存管理、多线程/进程开发技术等 ;
5. 了解深度学习模型,对机器学习有一定基础;
6. 熟悉主流开源深度学习框架源码者优先;
7. 计算机或电子通信相关专业本科以上。
(二)算法实现与优化方向
1. 熟练掌握Python;
2. 有丰富的深度学习模型训练、精度调优经验;
3. 熟练使用过TensorFlow、PyTorch等主流框架;
4. 熟练掌握各种经典深度学习算法、统计机器学习算法,热衷研究深度学习前沿算法技术;
5. 有ACM竞赛、算法比赛经验/成绩者优先;
6. 计算机或数学相关专业本科以上。
(三)推理/部署/芯片适配方向
1. 熟练掌握C++;
2. 了解AI芯片系统开发;
3. 有寒武纪MLU,华为 Ascend/NNIE,地平线BPU等NPU端模型推理经验优先;
4. 参与开发过深度学习推理框架者优先;
5. 计算机或电子通信相关专业本科以上。
我们期望候选的同学具有团队精神、敬业精神、踏实能干。以上三个方向均接受应届毕业生实习。

简历发送至:hr@oneflow.org

前端工程师

工作内容:

1. 用深度学习、强化学习及AI其他方法对智能博弈中的挑战性问题进行理论研究和验证;
2. 负责深度强化学习算法的实现和优化;
3. 参与实现强化学习平台的架构设计、实现和优化工作。

职位要求 :

1. 计算机、数学或统计学相关专业硕士及以上学历;
2. 熟悉Linux、C++、Java、Python,优秀的编码、代码控制能力及数据结构和算法功底;
3. 熟悉机器学习、分布式计算,具备强化学习相关项目经验;
4. 善于阅读文献,快速学习 ,具备优秀的分析和解决问题的能力,良好的沟通协作能力。

简历发送至:hr@oneflow.org

后端工程师

工作内容:

1. 负责机器学习平台的后端开发;
2. 负责公司云平台的后端开发;
3. 保证业务不间断运行,快速发现和处理故障。

职位要求 :

1. 熟悉 Java 编程语言。熟悉后台微服务开发,熟悉 Spring Cloud 微服务、Spring Boot 或 Dubbo 其中一种或多种开发框架;
2. 熟悉 MySQL 关系型数据库的设计和使用,了解 MongoDB,Redis 等使用;
3. 熟悉主流容器集群管理平台 k8s、Docker。

简历发送至:hr@oneflow.org

算法工程师(强化学习)

工作内容:

1. 用深度学习、强化学习及AI其他方法对智能博弈中的挑战性问题进行理论研究和验证;
2. 负责深度强化学习算法的实现和优化;
3. 参与实现强化学习平台的架构设计、实现和优化工作。

职位要求 :

1. 计算机、数学或统计学相关专业硕士及以上学历;
2. 熟悉Linux、C++、Java、Python,优秀的编码、代码控制能力及数据结构和算法功底;
3. 熟悉机器学习、分布式计算,具备强化学习相关项目经验;
4. 善于阅读文献,快速学习 ,具备优秀的分析和解决问题的能力,良好的沟通协作能力。

简历发送至:hr@oneflow.org

测试工程师

工作内容:

1. 负责机器学习平台的前端开发;
2. 负责公司云平台的前端开发;
3. 保证业务不间断运行,快速发现和处理故障。

职位要求 :

1. 精通JavaScript、HTML5、CSS3,精通vue全家桶,熟悉es6,掌握不同调试工具;
2. 能够解决各种浏览器兼容性问题,熟悉前端性能优化,有独立解决问题能力,可以独立完成前端架构选型以及项目开发;
3. 有优秀的业务需求理解能力,较强和前端设计能力,善于沟通,善于分享;
4. 了解后端,对前后端分离项目有经验,具备与后端开发良好的沟通和合作能力;
5. 对新技术充满好奇心,并愿意钻研尝试。

简历发送至:hr@oneflow.org

云平台运营主管

工作内容:

1. 负责在AI云平台的运营工作;
2. 运营策略与计划制定、组织实施、资源协调;
3. 数据分析、竞对分析;
4. 团队管理与绩效考核;
5. 对业绩与用户增长负责。

职位要求 :

1. 统招一本以上,至少2年以上SaaS、企业软件、平台、AI行业经验优先;
2. 熟悉产品运营、用户运营、活动运营;
3. 熟悉市场推广,sem、信息流、裂变及社群运营、edm等;
4. 有团队管理、项目管理经验;
5. 对数据敏感,有数据分析能力,有洞察力、创造性思维。

简历发送至:hr@oneflow.org

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For more information please visit:

https://urldefense.proofpoint.com/v2/url?u=https-3A__harvard.us14.list-2Dmanage.com_track_click-3Fu-3D30f7872d50c5608897812839f-26id-3Ded057279a5-26e-3D67cb07ec5c&d=DwMFaQ&c=WO-RGvefibhHBZq3fL85hQ&r=vpky_2G1-lVa5OX-a9y7qWI3Jd7K3Gz0CHwwFKs9Yhs&m=sli0X6fnwCd9zrHrkXKi0pszCzgXXPKfw1CgZBlyMJM&s=3wn-4edWxSHQmmpbyBeFqws5w721AlYN8U0M5Zi_szk&e=

 

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耶鲁大学生物统计系博士项目招生,9月30日截止,欢迎关注并转发。

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Employer Information: Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic; http://www.lerner.ccf.org/qhs/

Position Title: Postdoctoral Research Fellow

Duties & Responsibilities: We are seeking one motivated and creative applicant with quantitative research background in bioinformatics, computational biology, statistics, biostatistics or computer science to join an active and collegial research team at Cleveland Clinic.

Our team has access to “big data” from multiple platforms, including various omics data (WGS, mitochondrial sequencing, metabolomics, epigenetics, etc.), electronic health records and well-annotated clinical phenotypes. The candidate’s responsibilities involve developing novel statistical methods, machine learning algorithms and computational tools to identify disease biomarkers and networks, build predictive models and discover new therapeutic interventions. The postdoc will have great opportunities to collaborate with physicians and scientists at the Cleveland Clinic.  Drs Serpil Erzurum and Bo Hu will mentor the postdoc and provide necessary support to help in the transition to an independent researcher.

Position Qualifications: The applicant should have a Ph.D. degree in one of the following areas: Bioinformatics, Computational Biology, Statistics, Biostatistics, Computer Science, or other discipline with strong quantitative background. Knowledge in biology or genetics is desired but not required. The candidate should be familiar with program languages R, Perl or Python. Experience with C/C++ is a strong plus.

Salary Range: Salary is competitive and commensurate with qualification. Benefits will be in accordance with Cleveland Clinic standard postdoctoral benefits

http://www.lerner.ccf.org/jobs/postdoctoral/

Application Address: Interested applicants should email the following materials to Dr. Bo Hu. Email address hub@ccf.org

  •       A cover letter;
  •       Curriculum Vitae;
  •       A statement of research interest;
  •       Sample codes from recent programming;
  •       Publication reprints;
  •       Contact information of at least three references.

Review of applications starts immediately. Applications will be considered until the position is filled. The Department of Quantitative Health Sciences has over 90 members and provides an excellent environment for methodological and collaborative research.

Cleveland Clinic is ranked # 2 best hospital in America by U.S. News & World Report (2016).
Cleveland Clinic is an equal employment and affirmative action employer.

Application Deadline: 05/31/2018.

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Position Title: Postdoctoral fellow
Location: Johns Hopkins University

https://www.rits.onc.jhmi.edu/DBB/

http://www.hopkinsmedicine.org/armstrong_institute/centers/center_for_diagnostic_excellence/index.html

Duration: 1-2 years
Duties and responsibilities: A postdoctoral position is available in the Division of Biostatistics and Bioinformatics at the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins. We are seeking for highly motivated individuals to develop and apply novel statistical methods for evaluating diagnostic tests and biomarkers, identify sources of misdiagnosis and eliminate preventable patient harms from diagnostic errors.  The successful candidate will join a multidisciplinary team of researchers who focus on medical diagnosis, precision medicine and electronic health records, with the primary mentor from biostatistics. The main responsibility of this position is statistical methodology development and its computational implementation. The successful candidate will also have the opportunity for collaborative projects with faculty in the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins and in the Armstrong Center for Diagnostic Excellence on projects related to diagnostic accuracy. Our research team has database and visualization experts to help preprocess medical care data and to potentially present the statistical model in an interactive or dynamic fashion. The successful candidate is encouraged to take advantage of these resources。
Qualifications: Candidates should have a strong quantitative background with a doctorate in biostatistics, statistics, or a related discipline. Strong programming skills, ideally in R, are required. Experience in statistical methods for medical diagnosis, survival analysis and electronic health records are preferred.
Application Information: Please send your CV, letter of intend including a brief summary of past/current research, writing sample if available (published or arxiv/biorxiv paper) and three reference letters to Dr. Zheyu Wang at wangzy@jhu.edu
Salary Range: Competitive and depends on research experience.
Benefits: http://www.hopkinsmedicine.org/som/offices/registrars/pdoc_benefits.html
The expected starting date is December 1st, 2017, negotiable.

 

 

 

 

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