This is a PhD position open at the Computer Science Department, however, applicants with Statistics background are especially welcomed.
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# JOB DESCRIPTION
This PhD project will continue current research to explore ways to increase the reliability of experiments in Information Retrieval and related fields.
You will have the opportunity to address some of the following topics:
– Test collection design.
– Handling of missing judgments.
– Ranking of retrieval systems.
– Statistical analysis of evaluation results.
– Simulation of test collections
– Development of evaluation tools
Research output is expected in the form of papers to be published in leading venues like SIGIR, RecSys, CIKM, ECIR, WSDM, WWW, TOIS or IRJ, software packages and datasets, with a very clear contribution to Open Science and reproducible research.
The successful PhD candidate has an MSc in Statistics, Computer Science, or a closely related field. Solid foundation in one or more of the following disciplines is very much looked for information retrieval, recommender systems, machine learning, statistical modelling, data analytics. We require programming skills in modern languages, preferably in R. We require fluently spoken and written English. In addition, we are looking for creativity, critical thinking, rigour, independence, and good communication skills.
# CONDITIONS OF EMPLOYMENT
– Fixed-term contract: 4 years.
– 38—40 hours per week
– €2325—€2972 per month
The PhD candidate will be part of the Evaluation Lab and work under the supervision of Assistant Professor Julián Urbano (https://julian-urbano.info).
# ADDITIONAL INFORMATION
For information about this vacancy, you can contact Julián Urbano, email: email@example.com, tel: +31 15 2786176.
For information about the selection procedure, please contact Karin Reijenga, HR officer, email: firstname.lastname@example.org.
All applications should include a PDF attachment with:
– a detailed CV (including a list of publications if available).
– a statement of research interests.
– a list of courses taken and grades obtained.
– a copy or link to your Master’s thesis.
– contact details of 2-3 references.
You can send your application material before March 21, 2020, to vacancies-eemcs@tudelft, referring to vacancy number EWI2020-16.