Research Assistant Or Project Researcher (Machine Learning For Exploratory Search Over Multiple Data Domains)
Tampere University Faculty of Information Technology and Communication Sciences
Finland

JOB DETAILS
Title
Research Assistant or Project Researcher (Machine learning for exploratory search over multiple data domains), 2 positions
Employer Tampere University
Job location Kalevantie 4, 33100 Tampere
Published August 8, 2019
Application deadline September 23, 2019
Job types Research assistant
Fields Informatics, Information Science, Computer Communications (Networks), Machine Learning


JOB DESCRIPTION

The Faculty of Information Technology and Communication Sciences at Tampere University invites applications for two (2) fixed-term full-time Research Assistant or Project Researcher positions for a period from 2 September 2019 to 31 December 2019.

Job description

The research takes place in the project "Machine learning for exploratory search over multiple data domains (EXCEED)". The aim of the positions is to do research aiming at a scientific publication, related to advanced methods of information retrieval and analysis of text data. The research analyzes data such as social media including the Suomi24 forum.

Requirements

The positions are appropriate for doctoral students or master's thesis students. Skills in computer science, machine learning, data analysis, and statistics are an advantage. Programming skills in e.g. Python, R, or Matlab are an advantage. We wish for good written and oral communication skill in Finnish, English, or both.

We offer

The positions are full time and will be filled for a fixed-term until December 31, 2019.

The salary will be based on both the job demands and the employee's personal performance in accordance with the University Salary System. The position of Research Assistant is placed on the job demand level 1 and position of Project Researcher on the job demand level 2 to 3 (the demand level chart for the teaching and research staff). In addition, employees will receive performance-based salary.

How to apply

Please submit your application through our online recruitment system. The closing date for applications is August 23, 2019.

Applications should include the following documents:

Curriculum Vitae (including publications if any)

Transcript of studies

Motivation letter

More information

Professor Jaakko Peltonen, jaakko.peltonen@tuni.fi, tel. +358 50 362 3628


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