Submitted by Dr Petra Vertes on Mon, 02/03/2015 - 18:34
Postdoctoral Fellow on Social Networks and Computational Linguistics Stanford University announces a one-year postdoctoral fellowship position. The position offered is from August 1, 2015 to July 31, 2016, but it has the potential for renewal. Salary: $70,000 and negotiable.
To apply
Candidates should submit the following materials electronically to Prof. Daniel A. McFarland at <mcfarland@stanford.edu> *Email one PDF file that includes*
1. A brief statement of interest describing your relevant background and skill
2. Current curriculum vitae
3. The name and contact information for three references (One reference should be your doctoral advisor)
4. Letters of recommendation will only be solicited from finalists
5. At least two publications or other writing samples
Review of applications will begin April 2, 2015 and continue until the position is filled.
Position Description
Stanford University’s Institute for Research in Social Science, Departments of Computer Science and Linguistics, and the Graduate School of Education are jointly offering a postdoctoral position in the area of social network analysis and natural language processing.
Using a set of interrelated corpora on knowledge innovation, the postdoctoral student will study relational events as well as network and linguistic patterning in these corpora in an effort to identify mechanisms driving the formation and decline of knowledge domains, clear moments of ideational diffusion, and factors giving certain actors and their institutions strategic advantages in forming new innovations and social intellectual movements.
The postdoctoral fellow will help lead efforts at: 1) linking multiple large corpora; 2) engaging in collaborative papers with faculty advisors; and 3) combining social network and natural language processing techniques in novel ways to answer interesting research questions.
This position funds a researcher who will work alongside an interdisciplinary team of faculty collaborators: Daniel A. McFarland (Professor of Graduate School of Education, Sociology and Organizational Behavior, and Director of Stanford’s Center for Computational Social Science), Dan Jurafsky (Professor of Linguistics [chair] and Computer Science), Jure Leskovec (Professor of Computer Science). The postdoctoral fellow will be an equal member of this interdisciplinary research group.
The postdoctoral fellow will be expected to collaborate actively with the aforementioned faculty collaborators, graduate students, and a data manager on the project. This responsibility includes regular communication and coordination with the project team. The postdoc will also be expected to contribute substantially to publications in the research group, acting as first author on some and as a secondary author on others.
The postdoctoral fellow will have office space at Stanford University.
Qualifications:
A PhD in a related research area that is completed by the position’s start date. The ideal candidate will have a PhD in computer science or social science with strong statistical and programming skills (e.g., familiarity with SQL, R, and Python or the equivalent). In addition, we seek candidates with expertise in social network analysis and natural language processing, as well as some versatility with managing relatively large datasets. We also seek persons with initiative, excellent communication skills, and the ability to work independently and in a team. Capacity for and strong interest in producing publishable research papers on knowledge innovation using the project's datasets is a must.
To apply
Candidates should submit the following materials electronically to Prof. Daniel A. McFarland at <mcfarland@stanford.edu> *Email one PDF file that includes*
1. A brief statement of interest describing your relevant background and skill
2. Current curriculum vitae
3. The name and contact information for three references (One reference should be your doctoral advisor)
4. Letters of recommendation will only be solicited from finalists
5. At least two publications or other writing samples
Review of applications will begin April 2, 2015 and continue until the position is filled.
Position Description
Stanford University’s Institute for Research in Social Science, Departments of Computer Science and Linguistics, and the Graduate School of Education are jointly offering a postdoctoral position in the area of social network analysis and natural language processing.
Using a set of interrelated corpora on knowledge innovation, the postdoctoral student will study relational events as well as network and linguistic patterning in these corpora in an effort to identify mechanisms driving the formation and decline of knowledge domains, clear moments of ideational diffusion, and factors giving certain actors and their institutions strategic advantages in forming new innovations and social intellectual movements.
The postdoctoral fellow will help lead efforts at: 1) linking multiple large corpora; 2) engaging in collaborative papers with faculty advisors; and 3) combining social network and natural language processing techniques in novel ways to answer interesting research questions.
This position funds a researcher who will work alongside an interdisciplinary team of faculty collaborators: Daniel A. McFarland (Professor of Graduate School of Education, Sociology and Organizational Behavior, and Director of Stanford’s Center for Computational Social Science), Dan Jurafsky (Professor of Linguistics [chair] and Computer Science), Jure Leskovec (Professor of Computer Science). The postdoctoral fellow will be an equal member of this interdisciplinary research group.
The postdoctoral fellow will be expected to collaborate actively with the aforementioned faculty collaborators, graduate students, and a data manager on the project. This responsibility includes regular communication and coordination with the project team. The postdoc will also be expected to contribute substantially to publications in the research group, acting as first author on some and as a secondary author on others.
The postdoctoral fellow will have office space at Stanford University.
Qualifications:
A PhD in a related research area that is completed by the position’s start date. The ideal candidate will have a PhD in computer science or social science with strong statistical and programming skills (e.g., familiarity with SQL, R, and Python or the equivalent). In addition, we seek candidates with expertise in social network analysis and natural language processing, as well as some versatility with managing relatively large datasets. We also seek persons with initiative, excellent communication skills, and the ability to work independently and in a team. Capacity for and strong interest in producing publishable research papers on knowledge innovation using the project's datasets is a must.