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Postdoc Job in High dimensional visual data analysis – Machine Learning, Linkoping

Linköping University


Linkoping University recruits Postdoc job in high dimensional visual data analysis – Sweden, Oct 2021.

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General Info

Position: Postdoc
No. of Positions: 1
Research Field:
Deadline to Apply: Expired
Joining Date: -
Contract Period: Not Mentioned
Salary: According to Standard Norms

Department of Science and Technology
Linköping University

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Qualification Details

The position requires a doctorate or an equivalent degree from a foreign university. The doctorate shall have been obtained no longer than three years before the expiration date of the application.The successful applicant should have a research foundation in visualization and experience of high dimensional data analysis. The track record should be documented by publications in leading visualization conferences and journals. Machine learning experience is needed to be able to successfully conduct the specified research. Great emphasis will be placed on personal qualities and suitability.

Responsibilities/Job Description

A Postdoc will essentially carry out research. The position may also involve teaching, but during no more than a fifth of work time.

The main task of the postdoc is to conduct research in machine learning and visualization. Of special interest is approaches based on contrastive learning and application areas of high importance are visualization of time-dependent high dimensional data and visualization of complex networks.

How to Apply?

Online Application (or Send email) through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: -
(If any, use it in the necessary place)

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Documents Required

Documents required to complete the online application process

About the Project

Analysis of high dimensional data is an area of very active research in the international visualization community. Challenging problems are found in a wide range of application domains. Common problems are found in the difficulty of deriving insights from many dimensions. Often data is also time-dependent and streaming which requires additional considerations for important analysis tasks such as on-line tracking of data features. Another example of challenging data is complex interconnected network data. An important trend is that machine learning approaches to data analysis has shown promising results over the past years. In this postdoc project we would like to further explore novel approaches to visual analysis of high dimensional data. We are especially interested in methods relying on dimensionality reduction using machine learning approaches applied to visual representations and interfaces are of high interest.

The Media and Information Technology division at Linköping University is a rapidly growing constellation of leading researchers in visualization and data analysis. The postdoc position will thus be hosted in a research environment with a broad range of expertise in visualization and related areas.

About the Employer: Linköping University

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Contact details

Anders Ynnerman
+46 11 363309

Martina Klefbeck
HR partner

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