One-year Researcher/Postdoc position (MSc or PhD) on Predictive Methods for Web Crawling at the faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, the Netherlands. The vacancy can be found through the following link:

https://www.utwente.nl/en/organisation/careers/!/2020-178/researcherpostdoc-position-on-predictive-methods-for-web-crawling

The closing date of the vacancy is 15 January 2021.

We are looking for a researcher (MSc or PhD) for a one-year position (researcher or post-doc) in the WebInsight project at the University of Twente, faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), jointly between the chairs of Data Management and Biometrics (in the Computer Science department) and Mathematics of Operational Research (in the department of Applied Mathematics). 

The candidates with MSc can apply for a researcher position. The candidates with PhD can apply for a post-doc position.

The WebInsight project develops, together with project partners, ultra-fast crawling of the Web for real-time market intelligence platforms. This is a practical challenge using big Web data. The work introduces predictive elements in Web crawling, such as ways to “score” websites and pages with scoring functions which reflect the patterns of change in these pages. We achieve this through the mining of Web data, and then building of predictive machine-learning models. The Web data includes both content data which characterizes the pages semantically, and structural data which characterizes link changes on the Web. Big data is available in the project by frequent crawling of the Web.

You will be working with Prof. Nelly Litvak (https://people.utwente.nl/n.litvak), Assist. Prof. Doina Bucur (https://people.utwente.nl/d.bucur), one other post-doctoral researcher, and a number of talented junior researchers from among our students in Computer Science or Applied Mathematics.

YOUR PROFILE

• You are highly motivated and an enthusiastic researcher.
• You have PhD or MSc degree in science, such as Computer Science, Data Science, Applied Mathematics or Statistics, Applied Physics, or other sciences related to the study of the Web (or similar large, structured systems) using ideas from data mining, network science, and machine learning.
• You have a strong interest in the topic of Web mining, modelling, and analysis.
• Programming skills (Python) and experience with basic data science tools and techniques (statistics, data mining) are essential. Practical skills in mining big data, and training and interpreting statistical models via machine learning are a plus.
• You have excellent collaboration skills.
• You have good command of English (level C1 or higher).

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Prof.dr. Nelly Litvak

Dept. of Applied Mathematics, University of Twente, and

Dept. of Mathematics and Computer Science Eindhoven University of Technology

https://www.utwente.nl/ewi/sor/about/staff/litvak/

Tel: +31(53)489-3388