## New: Lecturer in Discipline positions starting in Fall 2014

Columbia University

Department of Mathematics and Department of Statistics

**Faculty Position** starting Fall 2014

The Department of Mathematics and Statistics invite applications for a tenure track faculty position to be filled at the rank of Assistant or Associate Professor in Probability, with strong emphais in the Mathematics of Finance. Candidates from any area of probability and financial mathematics are encouraged to apply.

All candidates should have an outstanding and promising record in research and be committed to excellence in teaching. The successful candidate will also be expected to contribute to the teaching and other activities in the Master of Arts program in Mathematics of Finance, which is administered jointly by the Department of Mathematics and Statistics. Duties include research, service, and teaching at both the undergraduate and graduate level.

This will be a joint appointment between the Department of Mathematics and Statistics, Ph.D. is required at the time of appointment.

Please note that an application will not he considered compete unless all supporting materials are uploaded in MathJobs at www.mathjobs.org and the brief Columbia process is completed at:

http://academicjobs.columbia.edu/applicants/Central?quickFind=58116

Review of applications begins December 15, 2013.

Columbia University is an Equal Opportunity/Affirmative Action employer.

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Department of Statistics

Columbia University

**Faculty Position **Starting Fall 2014

The Department of Statistics invites applications for a faculty position in applied/interdisciplinary statistics to begin July 1, 2014. The position may be filled at any rank from tenure-track assistant professor through full professor with tenure. A Ph.D. in statistics or a related field and commitment to high quality research and teaching in statistics and/or probability are required. Candidates will be expected to sustain an active research and publication agenda and to teach in the departmental undergraduate and graduate programs.

The department currently consists of 22 faculty members, 40 PhD students, and over 100 MS students. The department has been expanding rapidly and, like the University itself, is an extraordinarily vibrant academic community. For further information about the department and our activities, centers, research areas, and curricular programs, please go to our web page at: http://www.stat.columbia.edu

Please initiate the application process at

https://academicjobs.columbia.edu/applicants/Central?quickFind=58288

At Columbia's Recruitment of Academic Personnel (RAPS) secure website linked above, applicants at all ranks are asked please to create the applicant profile and upload the Curriculum Vitae. The completion of this brief process in RAPS is indicated by a confirmation number which the applicant should retain.

To complete the application process, applicants at all ranks must submit materials through Head Hunter at https://editorialexpress.com/hhc . The Department of Statistics positions will be visible in Head Hunter by clicking on "Positions" after logging in to the Candidate Application Interface.

In Head Hunter, applicants for this position at the assistant professor or non-tenured associate professor rank should submit a cover letter, Curriculum Vitae, a brief statement of their research plans, one writing sample, and arrange for three letters of reference to be sent on their behalf. Applicants at the tenured associate professor or full professor rank should submit a cover letter, Curriculum Vitae, and a statement of research.

Please note that an application will not be considered complete unless the process is completed in ** both** Head Hunter and the Columbia RAPS system.

Inquiries may be made to dk@stat.columbia.edu

Review of applications begins on December 2, 2013 and will continue until the position is filled.

Columbia University is an Equal Opportunity/Affirmative Action employer.

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Department of Statistics

Columbia University

**Lecturer in Discipline Position** Starting Fall 2014

The Department of Statistics invites applications for multiple positions at the rank of Lecturer in Discipline in statistics to begin as of July 1, 2014. These are full-time appointments with multi-year renewal contingent on successful reviews.

Lecturers in Discipline are officers in the University who meet a programmatic need for instruction in specialized fields. The selected candidates will be expected to teach 3 courses per semester. A Ph.D. in statistics or a related field and a commitment to high quality teaching at both the undergraduate and MA levels in statistics and/or probability is required. Experience with online education is desirable but not required. Candidates will be expected to participate in the full gamut of statistics education including curriculum improvement, modifying and developing courses, and exploring new strategies for the teaching of statistics.

The department currently consists of 25 faculty members, 40 PhD students, and over 200 MA students. The department has been expanding rapidly and, like the University itself, is an extraordinarily vibrant academic community. For further information about the department and our activities, centers, research areas, and curricular programs, please go to our web page at: http://www.stat.columbia.edu

To initiate the application process, please go to Columbia’s online Recruitment of Academic Personnel Systems (RAPS) at

https://academicjobs.columbia.edu/applicant/Central?quickFind=58500

Applicants are asked to create an applicant profile in RAPS and to upload their CV into the system. The completion of this brief process is indicated by a confirmation number which the applicant should retain.

Additionally, applicants must submit a curriculum vitae, statement of teaching philosophy, research statement , evidence of teaching effectiveness, one writing sample or publication and the names of 3 references through Head Hunter at

https://editorialexpress.com/hhc

Please note that an application will not be considered complete unless the process is completed in **both** Head Hunter and in RAPS system.

Inquiries may be made to dk@stat.columbia.edu

Review of applications begins on January 15, 2014 and will continue until the positions are filled.

Columbia University is an Equal Opportunity/Affirmative Action employer.

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**Postdoctoral Position in Text Processing and Machine Learning**

A **full-time postdoctoral position** is available beginning this summer June 1, 2014 working on the Declassification Engine, a new project that applies statistical analysis and modeling to data from declassified documents.

Requirements: Preferred educational background is a Ph.D. in Computer Science, Statistics, Machine Learning, or Mathematics. The work is highly interdisciplinary, and applicants must have strong mathematical and computational skills. An interest in history is a plus.

Environment: The position will be based in the Statistics Department at Columbia University. In addition to David Madigan, the research group includes faculty from the departments of Computer Science and History.

Appointment: The initial appointment will be for one year. The salary will be for $68,500 plus benefits.

If interested in the position, please write to the project manager, Eric Gade (eric.gade@gmail.com) for an overview of our research. Applicants will be asked to provide the following:

1. a one-page description of past research experience

2. a one-page description of future research interests and goals

3. a resume of educational and research experience, including publications

4. names of two people who could provide letters of reference

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The Department of Statistics at Columbia University invites applications for an

**Associate Research Scientist position in statistics and neuroscience** to begin **July 1, 2014**.

The candidate is expected to have a strong research portfolio in computational neuroscience, statistical neuroscience, machine learning or a related field. Backgrounds in analyzing large neural data sets, modeling complex neural systems, and cutting-edge machine learning will be particularly valuable. The position is highly quantitative and highly interdisciplinary. The candidate is expected to be in the research groups of Liam Paninski and/or John Cunningham, with ample opportunities for interaction with an exceptional group of experimental and theoretical collaborators.

All applications must be submitted through Columbia's online system. For more information and to apply, please go to:

https://academicjobs.columbia.edu/applicants/Central?quickFind=59350

The review of applications will begin immediately and continue until the position is filled.

Columbia University is an Equal Opportunity/Affirmative Action employer.