We’re looking for two PhD students and a postdoc to work on a project on learning to rank for information retrieval. The goal of the project is to lay the foundations for contextual LTR methods, which automatically construct the right ranking features based on the query context. The project will use data collected through natural interactions with a live system to extract features that might not be obvious to researchers who manually design the ones currently used for LTR.
We’re looking to hire a PhD student or postdoc to work on citizen data science. Citizens increasingly share their lives online. Through social media experiences, opinions and reports of events are shared. In parallel, residents of cities such as Amsterdam collect data using widely available sensor technologies, to measure air quality, traffic, or trash on the street. The main question driving this project is how to make sense of these diverse types of citizen signals.
Details on how to how apply can be found on http://www.uva.nl/en/about-the-uva/working-at-the-uva/vacancies/item/16-047-aaa-data-science-phd-candidate-postdoctoral-researcher-citizen-data-science.html.
We’re hiring: Amsterdam Data Science has 14 vacancies for postdoctoral researchers/PhD candidates. See http://bit.ly/1FHRNof.
We’re looking for three strong candidates for a fully funded PhD student position in information retrieval, a three-year postdoc position in information retrieval, and a three-year postdoc position in media studies. This is a collaborative project, called MediaNow, between the Informatics Institute and Department of Media Studies of the University of Amsterdam and the Netherlands Institute for Sound and Vision. You can find out more about the project, plus links to the advertisements etc., at http://medianow.eu. The deadline for applications is April 12, 2015. Interviews are scheduled for May 1, 2015.
We’re looking for a strong candidate for a fully funded four-year PhD position on a collaborative project with Microsoft Research Cambridge. The research will focus on the development of new algorithms for leveraging data reuse in order to efficiently evaluate and optimize the behavior of information retrieval systems. See this page for the advertisement, further requirements, and conditions. The deadline for applications is March 22, 2015.