天普大学计算机系招收多名博士生博士后-机器学习或者生物信息方向

POSITIONS AVAILABLE 
Postdoctoral Fellow in Machine Learning and Privacy
One postdoctoral position in Machine Learning and Privacy is available in the Department of Computer and Information Sciences at Temple University. The appointee will support and complement ongoing projects in developing new algorithms for machine learning and privacy-preserving modeling. The appointee will work closely with scientists in the Institute for Genomics and Evolutionary Medicine (iGEM) and Center for Data Analytics and Biomedical Informatics at Temple, other institutions in Philadelphia (e.g. Penn Medicine) and beyond (e.g. Harvard Medical School, Stevens Institute of Technology) to develop privacy preserving machine learning methods.
Candidate must have or be close to obtaining a Ph.D. in quantitative fields (include but not limited to Computer Science, Statistics, Mathematics, and Physics) and have demonstrated a high level of research productivity through publication in peer-reviewed conferences and journals. Experiences with machine learning or data privacy is required. As a team player working closely with cross-institutional scientists with broad areas of expertise, strong interpersonal and communication skills are essential.

Postdoctoral Fellow in Computational Biology / Bioinformatics
One postdoctoral position in computational biology and bioinformatics is available in the Department of Computer and Information Sciences at Temple University. The appointee will support and complement ongoing projects in developing computational approaches/pipelines to integrate and analyze large-scale (epi)genomic, expression and interaction data sets for scientific discovery and validation. The appointee will work closely with scientists in the Institute for Genomics and Evolutionary Medicine (iGEM) and Center for Data Analytics and Biomedical Informatics at Temple, other institutions (e.g. Harvard Medical School, Penn Medicine, Jackson Laboratory for Genomic Medicine) and International Consortium like The Human Genome Structural Variation Consortium (HGSVC) to develop new methods and pipelines toward precision medicine.
Candidate must have or be close to obtaining a Ph.D. in quantitative fields (include but not limited to Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics, and Physics) and have demonstrated a high level of research productivity through publication in peer-reviewed conferences and journals. Extensive experiences using scripting languages (e.g. Perl, Python) and statistical/mathematical toolkits (e.g. R, SAS, Matlab, Mathematica) are required. Knowledge of machine/statistical learning and mathematical modeling techniques is desirable. As a team player working closely with cross-institutional scientists with broad areas of expertise, strong interpersonal and communication skills are essential.
Recently celebrating its 50th year anniversary, CIS@Temple is one of the oldest computer science departments in the country and is experiencing tremendous growth in its research and academic programs. Temple University is a Carnegie R1 institution that serves more than 40,000 students and is ranked #44 among top public universities by the U.S. News & World Report. Located in the heart of Philadelphia (the 5th largest city in the United States, known for its arts, culture, history and affordable living), Temple University is in close proximity to many outstanding research centers and industry partners in information technology, healthcare, biotechnology, and finance.
We offer a collegial environment, excellent facilities, and a competitive salary commensurate with experience. Applicants should email a single PDF file including cover letter, CV, brief research statement and list of 3 references to Dr. Mindy Shi (mindyshi@temple.edu).
Graduate Students
I am seeking for highly motivated graduate students with undergraduate training in computer science, statistics, mathematics, physics or quantitative biological sciences. Full assistantship will be provided upon admission. Please check out the admission information for CIS PhD and Bioinformatics PhD respectively. Please contact Dr. Mindy Shi (mindyshi@temple.edu) if you are interested.

三年后来评价一下。Mindy Shi非常情绪化，非常爱pua学生，和她工作就是一直承受她的情绪，和她开会就是一直被挑错，挑不出来错也会被说字体太大，图没画好。指导上面没有水平，她指导的方式是让其他老师指导，然后利用信息差用一些生物上面的公共数据集骗贡献。不尊重学生的知识产权，会把一个学生想到的idea分给其他学生做，而且名义是知识产权都是学校的，不属于学生。资金上面，她一直申不到funding，暑假不会发钱，到了高年级会把学生往其他老师那里塞。实验设备就是让学生去用其他老师的服务器。以及，她对学术不端的容忍性非常高，会往学生的paper里面塞作者，会在投稿rebuttal的时候造假代码。

顶一个，Shi老师很厉害而且人很好。