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访问学者 | 斯坦福大学计算机医学访问学者

2018年06月28日 17:15:58  版权所有:京华医学
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访问学者 | 斯坦福大学计算机医学访问学者

美国斯坦福大学招聘计算机医学信息相关方向访问学者 (学生)

职位1:图像分析与机器学习

应聘者应具有扎实的图像分析和机器学习相关专业知识及背景,并且对科研工作有强烈的兴趣。应聘者应已获得计算机、电子工程、生物医学或者相关专业学位。应聘者最好在以下领域:图像处理、计算机视觉研究(例如图像分割,物体检测)、机器学习或深度学习具有相关研究经验。需具备熟练的编程技术(熟练运用工具如matlab,python, R, etc)。有优秀的英文写作和口头交流能力。有医学图像研究经验优先考虑。对于已经取得博士学位的应聘者,应有高质量的学术文章发表记录(在读研究生需展示相关研究技能和科研兴趣)。 更多细节请参考英文描述或者联系 Dr. Gevaert。

职位2:生物信息分析

应聘者应具有扎实的生物信息相关专业知识和背景,并且对科研工作有强烈的兴趣。应聘者应已获得计算机、电子工程、生物医学或者相关专业学位。应聘者需有生物基因数据分析的经验和相应的医学统计背景。有熟练的编程技术(熟练运用工具如matlab,python, R, etc)。有优秀的英文写作和口头交流能力。对于已经取得博士学位的应聘者,应有高质量的文章发表记录。更多细节请参考英文描述或者联系 Dr. Gevaert。

 

Dr. Olivier Gevaert

Assistant Professor of Medicine

Dr. Gevaert实验室主要关注计算机在医学方面的前沿应用和分析。其研究领域主要包括两个方向:医学图像数据挖掘和大规模基因组数据分析。研究项目包括:大规模医学图像分析、基于机器学习和统计的模型分析、基于图像特征的癌症病人临床特征预测。实验室同时开展不同癌症的基因信息处理和分析,挖掘多尺度的基因组数据,以及鉴定新型的生物标记特征。访问学者或学生将有机会直接参与实验室正在进行的前沿的交叉科研项目。我们将尽可能提供最优秀的科研环境,研究人员将有机会加入实验室并参与系中所有相关学术活动--包括研究基金申请、前沿学术讲座及职业发展交流活动。实验室近期开展了与中国顶尖科研机构清华大学、北京大学及中科院自动化所的多项学术交流,欢迎有意向的科研人员联系我们。

应聘者须自行承担来美和在美期间的一切费用。应聘者一经录用,斯坦福大学将协助其办理美国签证,并在必要的情况下,帮助应聘者在中国申请访问美国所需要的资金。

Visiting scholar/student positions available at Stanford Center for Biomedical Informatics Research, Stanford University

The Gevaert lab at Stanford Center for Biomedical Informatics Research (BMIR), Department of Medicine, Stanford University is accepting visiting scholars and students. The Gevaert lab focuses on multi-scale data fusion (e.g., medical image, genomics, clinical records) in oncology. We develop machine learning methods for biomedical decision support using the multi-scale biomedical data. For more details on multi-scale data fusion in the Gevaert lab, please visit: 

http://gevaertlab.stanford.edu/ and http://bmir.stanford.edu/

Stanford University is committed to mentoring and supporting young researchers. We offer multiple professional development seminars on topics including preparation of grant applications, academic promotion, presentation skills, writing, alternative career paths and other topics that will prepare you for the future career in academia or industry.

Furthermore, he/she will be a part of Stanford Center for Biomedical Informatics Research

and as such he/she will be able to participate in research, development and all social

activities of the related labs.

QUALIFICATIONS

Position 1: Image analysis and machine learning

The candidate for this position will be a highly motivated scholar or student with a degree (or currently pursue a degree) in computer science, electrical engineering or related areas.

The ideal applicant will have experience in computer vision (e.g., segmentation and feature extraction), deep learning (CNN models), machine learning (e.g., classification and clustering). The candidate should be proficient in programming (preferably Matlab, Python, R, etc). Experience in medical image analysis is a strong plus but not required. The successful candidate will be part of a diverse group including radiologists, medical physicists, computer scientists, and biostatisticians from Stanford hospital towards developing novel computational models in cancer imaging.

Position 2: Bioinformatics

The candidate for this position will be a highly motivated scholar or student with a degree (or currently pursue a degree) in statistics, bioinformatics, biomedical engineering or related areas. The position will be involved in the development of and application of computational methods, from data integration to statistical analysis and machine learning, to learn patterns in multi-omics data. Potential focus areas are multi-omics data fusion and epigenomics. The candidate will have a chance to work in a multi-disciplinary environment involving clinicians, molecular biologists, statisticians and mathematicians.

APPLICATIONS:

Candidates should send a brief (less than 300 words) letter describing their research interests, recent work, and indicating a good match for the positions. The applications should also attach a resume or CV highlighting all research publications. The positions are immediately available. Good verbal and written communication skills in English are essential. These two positions are self-funded positions and therefore the candidates must have to secure his/her own funding prior to arriving in the United States. Once the candidates are accepted for the positions, Stanford University will provide help with securing a Visa.

The applications and/or any additional questions regarding the positions, please send an email to olivier.gevaert@stanford.edu (Dr. Gevaert) with a title of “Visiting scholar application” and your family name.

 

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