Up to 21 PhD positions in Data Science in Leiden, apply soon!
Posted: 22 December 2016 03:18 PM
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Leiden University and the Leiden Center of Data Science (LCDS) have opened up a range of PhD positions in Data Science across various domains, apply soon if you are interested.

The Data Science Research Programme is a joint effort of all seven faculties of the University of Leiden. PhD students are playing key roles within the programme. In total, at least 21 PhD candidates will be appointed. They will work on the development and application of data science in various fields of research at Leiden University

For a full set of project descriptions see https://www.universiteitleiden.nl/en/research/research-projects/science/data-science

You can apply from the website above, and some are listed on Academic transfer as well
https://www.academictransfer.com/employer/LEI/vacancy/37785/lang/en/
https://www.academictransfer.com/employer/LEI/vacancy/37786/lang/en/
https://www.academictransfer.com/employer/LEI/vacancy/37734/lang/en/
https://www.academictransfer.com/employer/LEI/vacancy/37589/lang/en/
https://www.academictransfer.com/employer/LEI/vacancy/37594/lang/en/

As you may be competing with applicants from the respective domains, you will need to have experience and an interest (ofcourse) in data science.

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Posted: 27 January 2017 09:55 AM   [ # 1 ]
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A lot of these positions have now closed, but some remain to be posted.

This is one that appears still to be open and may be quite interesting for students interesting in applying text mining and network mining in humanities, more specifically study scientific progress by mining scientific documents and citations.

https://career012.successfactors.eu/sfcareer/jobreqcareer?jobId=2141&company=LeidenProd&rcm_site_locale=en_US

The Centre for Science and Technology Studies (CWTS) of the Faculty of Social Sciences and the Leiden Centre of Data Science (LCDS) are looking for a:

PhD Candidate Quantitative Science Studies (1.00 fte)
Vacancy number 2141

Project description
The objective of this project is to fundamentally improve our understanding of the ways in which science progresses and the way in which scientific knowledge accumulates. The progress of science is a key topic in sociology, history, and philosophy of science and one of considerable theoretical debate, but empirical insights are limited. Supported by computational advances and improved data access, in this project a large-scale data-driven approach will be taken in which scientific progress is studied based on the full text of scientific documents. In particular, the text surrounding the references in scientific documents will be analysed to get a detailed understanding of the way in which citing and cited documents relate to each other. This is expected to provide fundamental new insights into the way scientific knowledge accumulates.

The available data sources include bibliographic databases, Web of Science and Scopus, and a number of full-text data sources (e.g., Elsevier ScienceDirect, JSTOR, PubMed Central, and PLOS). In the project, these data sources will be integrated and computational linguistics will be used to analyse and categorize the citation links between documents. This will yield a large network of millions of citation links, where the links have been enriched by classifying the citation function and by relating them to scientific concepts. Based on this enriched citation network, three key dimensions of scientific progress will be analysed: time, discipline, and place. The time dimension considers the accumulation of scientific knowledge over time and the way new scientific ideas relate to existing ones. The discipline dimension focuses on disciplinary differences in scientific knowledge accumulation and on cross-disciplinary knowledge flows. Finally, the place dimension considers differences in scientific knowledge accumulation between countries, languages, and institutional settings.

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Posted: 27 January 2017 10:56 AM   [ # 2 ]
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Just heard that the sign language project is still accepting submissions until Feb 1 (perhaps thereafter but why risk).

This may be very interesting as well - the idea is to use video materials of sign language, but perhaps also Kinect data, to learn to recognize gestures and then analyze the resulting linguistic materials.

See https://www.universiteitleiden.nl/en/research/research-projects/science/data-science

African sign languages

The goal of this project is to innovate some of the worldwide most widely used tools in the analysis of signed languages. This will include expanding the functionalities of SignBank, a lexical database for sign language corpora with the purpose of enabling cross-corpus compatibility. Further, the project will also explore ways in which automated image analysis (including 2D and 3D images) can be used for semi-automated lemma generation and the encoding of basic phonological features.

It says the vacancy is closed but as said it is still open at least to Feb 1. Contact Victoria Nyst, see
https://www.universiteitleiden.nl/en/humanities/centre-for-digital-humanities/projects/nyst

 

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