QMSS RA Program

QMSS RA Program

QMSS Research Assistantship Program: Faculty Application

Columbia University’s Quantitative Methods in the Social Sciences (QMSS) program is pleased to issue a request for applications from faculty for research assistance in the 2016-17 academic year.

This research assistant program is intended to provide Columbia faculty with research assistants who are trained in statistical analysis, which will allow them to develop research projects that can lead to publishable work and external grant support, and can increase their chances of gaining tenure and career advancement., while simultaneously providing QMSS students with valuable research experience, opportunities to develop thesis topics, to write or contribute to publishable papers, and to earn money toward their tuition and living expenses. In exchange, faculty agree to provide guidance and mentorship throughout the award period.

QMSS students deliver a high level of sophistication and dedication as RAs.  They have strong quantitative and writing skills, and individually have experience in a number of the following programs:  SPSS, SAS, STATA, R, Excel, Python, Javascript, HTML, CSS, D3, ArcGIS, QGIS, Gephi, Bloomberg, SQL, Matlab, C++, Java, Perl, and/or Eviews.  

Application Deadlines

Priority application deadline for SPRING 2017: JANUARY 6th, 2017

Applications received before this deadline will be given priority in assigning RAs. Approved projects can expect to hear back from QMSS in late August. At this time, faculty will be given the opportunity to interview several QMSS candidates for their project. 

ALL APPLICATIONS MUST BE SUBMITTED BELOW 

Criteria

Projects are expected to teach various phases of — and skills within — the research process and should not include administrative tasks not relevant to specific project.

QMSS seeks to fund projects from different departments. Please be specific about skills or subject expertise necessary, as well as potential opportunities that may result from their participation [for example, knowledge of a specific programming language, familiarity with data collection or conducting a literature review, opportunity to publish the paper, etc.].

In order to support as many projects as possible, QMSS follows a matching-funds structure with faculty: a $1-to-$1 match from the first dollar of the project.  We are very proud to be able to offer this tremendous value to faculty, and this shared funding structure allows us to support an even larger number of Columbia research projects.  Last year, our students worked on over 35 faculty projects; a partial list of projects can be found here.    

All proposals will be reviewed by QMSS staff, affiliated faculty members and ISERP, and approval is contingent on multiple factors, including the total number of applications received and the application's fit with overall QMSS and ISERP academic goals.

 

For questions about this program, please contact qmss@columbia.edu

 

 

Please upload your most recent CV
What is the larger project on which the Research Assistant will work?
What specific research tasks will the Research Assistant conduct?
What amount of time do you anticipate needing research assistance? Two semesters or just one? How many hours per week (maximum 15)? Any other scheduling information?
How might a Research Assistant develop a master's thesis based on this research experience? For example, what kinds of research questions might the student examine? What other opportunities might result from the assistant's collaboration?
Upload any other supporting materials.

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